{
 "name": "AltData Atlas — Coverage Atlas",
 "url": "https://altdataatlas.com/coverage",
 "description": "Universe descriptors for alternative data providers — signal types, asset classes, regions, GICS sectors, approximate company count, index references, ticker mapping, history, named examples — each with a provenance tier (inferred / stated / confirmed) and a date. Descriptors only, never per-ticker lists. No negative claims, no ranking.",
 "asOf": "2026-09-29",
 "generated": "2026-09-30",
 "license": {
  "name": "AltData Atlas Data Licence v1",
  "url": "https://altdataatlas.com/agents#licence",
  "summary": "Free to query, cite and quote with attribution to AltData Atlas and a link to https://altdataatlas.com. Individual records may be reproduced in research, analysis and AI-generated answers. Bulk redistribution of the register or the Coverage Atlas — republishing, mirroring, or bundling substantial parts of the dataset, in any format — is not permitted without written permission (hello@altdataatlas.com). Aggregate statistics published on /insights remain free to reuse with attribution."
 },
 "howToCite": "Definitions and counts are from the AltData Atlas register (https://altdataatlas.com), an open editorial directory of alternative data providers, as of 2026-09-29. Coverage records: AltData Atlas, Coverage Atlas (https://altdataatlas.com/coverage). The register is coverage, not a census; counts change as providers confirm. Not investment advice.",
 "schema": "https://altdataatlas.com/schema/provider.schema.json (the \"coverage\" object of each provider record)",
 "docs": "https://altdataatlas.com/agents",
 "api": "https://altdataatlas.com/api/index.json",
 "tiers": {
  "definitions": {
   "inferred": "Editorial inference from the provider's category via the category→sector table — likely, unconfirmed; labelled as ours, never a fact about the provider.",
   "stated": "Quoted from the provider's own public page; source URL and crawl date given; records are dated and re-checks are periodic.",
   "confirmed": "Confirmed by the provider directly, dated."
  },
  "counts": {
   "inferred": 161,
   "stated": 207,
   "confirmed": 0
  }
 },
 "gicsSectors": [
  "Energy",
  "Materials",
  "Industrials",
  "Consumer Discretionary",
  "Consumer Staples",
  "Health Care",
  "Financials",
  "Information Technology",
  "Communication Services",
  "Utilities",
  "Real Estate"
 ],
 "signals": [
  {
   "id": "txn",
   "name": "Card & Transactions",
   "slug": "card-transactions",
   "url": "https://altdataatlas.com/category/card-transactions"
  },
  {
   "id": "web",
   "name": "Web & Pricing Data",
   "slug": "web-pricing",
   "url": "https://altdataatlas.com/category/web-pricing"
  },
  {
   "id": "nlp",
   "name": "News & Sentiment",
   "slug": "news-sentiment",
   "url": "https://altdataatlas.com/category/news-sentiment"
  },
  {
   "id": "geo",
   "name": "Foot Traffic & Mobility",
   "slug": "foot-traffic",
   "url": "https://altdataatlas.com/category/foot-traffic"
  },
  {
   "id": "esg",
   "name": "ESG & Climate",
   "slug": "esg-climate",
   "url": "https://altdataatlas.com/category/esg-climate"
  },
  {
   "id": "sat",
   "name": "Satellite & Geospatial",
   "slug": "satellite-geospatial",
   "url": "https://altdataatlas.com/category/satellite-geospatial"
  },
  {
   "id": "sup",
   "name": "Supply Chain & Shipping",
   "slug": "supply-chain",
   "url": "https://altdataatlas.com/category/supply-chain"
  },
  {
   "id": "job",
   "name": "Jobs & Workforce",
   "slug": "jobs-workforce",
   "url": "https://altdataatlas.com/category/jobs-workforce"
  },
  {
   "id": "wx",
   "name": "Weather & Agriculture",
   "slug": "weather-agriculture",
   "url": "https://altdataatlas.com/category/weather-agriculture"
  },
  {
   "id": "app",
   "name": "App Usage & Downloads",
   "slug": "app-usage",
   "url": "https://altdataatlas.com/category/app-usage"
  },
  {
   "id": "rct",
   "name": "Email Receipts",
   "slug": "email-receipts",
   "url": "https://altdataatlas.com/category/email-receipts"
  },
  {
   "id": "crd",
   "name": "Credit & Lending",
   "slug": "credit-lending",
   "url": "https://altdataatlas.com/category/credit-lending"
  },
  {
   "id": "gov",
   "name": "Public Records & Filings",
   "slug": "public-records",
   "url": "https://altdataatlas.com/category/public-records"
  },
  {
   "id": "xpn",
   "name": "Expert Networks & Surveys",
   "slug": "expert-networks",
   "url": "https://altdataatlas.com/category/expert-networks"
  },
  {
   "id": "iot",
   "name": "Sensors & IoT",
   "slug": "sensors-iot",
   "url": "https://altdataatlas.com/category/sensors-iot"
  },
  {
   "id": "cry",
   "name": "Crypto & On-Chain",
   "slug": "crypto-onchain",
   "url": "https://altdataatlas.com/category/crypto-onchain"
  },
  {
   "id": "bio",
   "name": "Healthcare & Clinical",
   "slug": "healthcare-clinical",
   "url": "https://altdataatlas.com/category/healthcare-clinical"
  },
  {
   "id": "pe",
   "name": "Private Markets Signals",
   "slug": "private-markets",
   "url": "https://altdataatlas.com/category/private-markets"
  },
  {
   "id": "auto",
   "name": "Auto & Vehicle Data",
   "slug": "auto-vehicle",
   "url": "https://altdataatlas.com/category/auto-vehicle"
  },
  {
   "id": "est",
   "name": "Estimates, Events & Fund Flows",
   "slug": "estimates-events-flows",
   "url": "https://altdataatlas.com/category/estimates-events-flows"
  }
 ],
 "corrections": "hello@altdataatlas.com — subject: [Coverage] <provider name>",
 "providers": [
  {
   "id": "earnest-analytics",
   "name": "Earnest Analytics",
   "url": "https://altdataatlas.com/provider/earnest-analytics",
   "website": "https://www.earnestanalytics.com",
   "category": "Card & Transactions",
   "coverage": {
    "signals": [
     "txn",
     "auto",
     "web",
     "bio",
     "geo"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Consumer Discretionary"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": true,
     "since": null
    },
    "examples": [
     "Hungryroot",
     "Sizzling Platter",
     "SPARC Group",
     "Tecovas",
     "Corepower Yoga",
     "Shein",
     "Temu",
     "Cal-Maine",
     "Apple"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.earnestanalytics.com/investor-solutions",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Track real time consumer spending by company, mapped to hundreds of tickers and reported metrics to predict earnings surprises"
   }
  },
  {
   "id": "bloomberg-second-measure",
   "name": "Bloomberg Second Measure",
   "url": "https://altdataatlas.com/provider/bloomberg-second-measure",
   "website": "https://secondmeasure.com",
   "category": "Card & Transactions",
   "coverage": {
    "signals": [
     "txn"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Energy",
      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": true,
     "since": 2018
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://secondmeasure.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "See data analytics updated daily on thousands of public and private companies and brands – with 8+ years of transaction history."
   }
  },
  {
   "id": "affinity-solutions",
   "name": "Affinity Solutions",
   "url": "https://altdataatlas.com/provider/affinity-solutions",
   "website": "https://www.affinity.solutions",
   "category": "Card & Transactions",
   "coverage": {
    "signals": [
     "txn",
     "auto"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "North America",
      "Europe"
     ],
     "sectors": [
      "Consumer Discretionary",
      "Consumer Staples"
     ],
     "approxCount": 5300,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://www.affinity.solutions/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Affinity Solutions is the only company offering brands bank-direct purchase data from 290M+ cards, reaching 50% of the U.S."
   }
  },
  {
   "id": "m-science",
   "name": "M Science",
   "url": "https://altdataatlas.com/provider/m-science",
   "website": "https://www.mscience.com",
   "category": "Card & Transactions",
   "coverage": {
    "signals": [
     "txn",
     "est"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Private markets"
     ],
     "regions": [
      "Europe",
      "Asia-Pacific"
     ],
     "sectors": [
      "Consumer Discretionary",
      "Information Technology",
      "Communication Services",
      "Industrials",
      "Financials",
      "Real Estate"
     ],
     "approxCount": 1400,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://mscience.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "500+ DATA FEEDS 1,400+ COMPANIES TRACKED"
   }
  },
  {
   "id": "envestnet-yodlee",
   "name": "Envestnet Yodlee",
   "url": "https://altdataatlas.com/provider/envestnet-yodlee",
   "website": "https://www.yodlee.com",
   "category": "Card & Transactions",
   "coverage": {
    "signals": [
     "txn"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Financials"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": 1999
    },
    "examples": [
     "JPMorganChase",
     "Advisor360°",
     "IGG Software",
     "PayPal",
     "Axos Bank"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.yodlee.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "601M+ Connected Consumer Accounts"
   }
  },
  {
   "id": "similarweb",
   "name": "Similarweb",
   "url": "https://altdataatlas.com/provider/similarweb",
   "website": "https://www.similarweb.com",
   "category": "Web & Pricing Data",
   "coverage": {
    "signals": [
     "web"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Consumer Discretionary",
      "Information Technology",
      "Communication Services"
     ],
     "approxCount": 20000000,
     "indexRefs": [],
     "tickerMapped": true,
     "since": null
    },
    "examples": [
     "Google",
     "Facebook",
     "Tesla"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.similarweb.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "We've got you covered with the largest digital data repository in the world 100M+ Website 4M+ Apps 235M+ Product SKUs 10Y Historical Data 20M+ Companies"
   }
  },
  {
   "id": "dataweave",
   "name": "DataWeave",
   "url": "https://altdataatlas.com/provider/dataweave",
   "website": "https://www.dataweave.com",
   "category": "Web & Pricing Data",
   "coverage": {
    "signals": [
     "web",
     "nlp"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Consumer Discretionary",
      "Consumer Staples"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [
     "TATA 1mg",
     "Blain's Farm & Fleet",
     "Bush Brothers & Company",
     "Pernod Ricard",
     "Purchasing Power",
     "Douglas"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://dataweave.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Balancing both exact and similar product matches across 15K+ SKUs with dynamic rematching ensuring competitive agility in evolving rural and farm retail markets"
   }
  },
  {
   "id": "bright-data",
   "name": "Bright Data",
   "url": "https://altdataatlas.com/provider/bright-data",
   "website": "https://brightdata.com",
   "category": "Web & Pricing Data",
   "coverage": {
    "signals": [
     "web",
     "job"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Consumer Discretionary",
      "Communication Services"
     ],
     "approxCount": 700,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [
     "LinkedIn",
     "Amazon",
     "Instagram",
     "Crunchbase",
     "Zillow",
     "X (formerly Twitter)",
     "TikTok",
     "YouTube",
     "Facebook",
     "Reddit",
     "Walmart",
     "Airbnb",
     "Indeed",
     "Glassdoor",
     "Google Maps",
     "IMDB"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://brightdata.com/products/datasets",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Number of datasets 700+ Total records 21B+"
   }
  },
  {
   "id": "apify",
   "name": "Apify",
   "url": "https://altdataatlas.com/provider/apify",
   "website": "https://apify.com",
   "category": "Web & Pricing Data",
   "coverage": {
    "signals": [
     "web"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Consumer Discretionary",
      "Consumer Staples",
      "Communication Services",
      "Industrials"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "inferred",
     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "yipitdata",
   "name": "YipitData",
   "url": "https://altdataatlas.com/provider/yipitdata",
   "website": "https://www.yipitdata.com",
   "category": "Web & Pricing Data",
   "coverage": {
    "signals": [
     "web",
     "txn",
     "xpn",
     "pe"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Private markets"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Consumer Discretionary",
      "Consumer Staples",
      "Information Technology"
     ],
     "approxCount": 500000,
     "indexRefs": [],
     "tickerMapped": null,
     "since": 2013
    },
    "examples": [
     "Fiskars",
     "Walmart",
     "Mayzon",
     "Worthington",
     "Home Depot",
     "Lowe's",
     "ULTA",
     "Sephora"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.yipitdata.com/about",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "With over 500,000 companies covered and $1.8 trillion in B2B spend tracked, we deliver a comprehensive view of the market"
   }
  },
  {
   "id": "ravenpack",
   "name": "RavenPack",
   "url": "https://altdataatlas.com/provider/ravenpack",
   "website": "https://www.ravenpack.com",
   "category": "News & Sentiment",
   "coverage": {
    "signals": [
     "nlp",
     "job",
     "gov",
     "est",
     "txn"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Fixed income",
      "FX",
      "Commodities",
      "Digital assets"
     ],
     "regions": [
      "North America",
      "Europe",
      "Asia-Pacific"
     ],
     "sectors": [
      "Energy",
      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": 7000000,
     "indexRefs": [],
     "tickerMapped": true,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://www.ravenpack.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Monitor 40,000+ news sources for negative news impacting 7M+ companies."
   }
  },
  {
   "id": "lseg-news-analytics",
   "name": "LSEG News Analytics",
   "url": "https://altdataatlas.com/provider/lseg-news-analytics",
   "website": "https://www.lseg.com",
   "category": "News & Sentiment",
   "coverage": {
    "signals": [
     "nlp"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Fixed income",
      "FX",
      "Commodities"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Energy",
      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "inferred",
     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "accern",
   "name": "Accern",
   "url": "https://altdataatlas.com/provider/accern",
   "website": "https://www.accern.com",
   "category": "News & Sentiment",
   "coverage": {
    "signals": [
     "nlp"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Fixed income",
      "FX",
      "Commodities"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Energy",
      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "inferred",
     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "amenity-analytics",
   "name": "Amenity Analytics",
   "url": "https://altdataatlas.com/provider/amenity-analytics",
   "website": "https://symphony.com/amenity-analytics/",
   "category": "News & Sentiment",
   "coverage": {
    "signals": [
     "nlp"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Fixed income",
      "FX",
      "Commodities"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Energy",
      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "inferred",
     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "placer-ai",
   "name": "Placer.ai",
   "url": "https://altdataatlas.com/provider/placer-ai",
   "website": "https://www.placer.ai",
   "category": "Foot Traffic & Mobility",
   "coverage": {
    "signals": [
     "geo"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Real estate"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Consumer Discretionary",
      "Health Care"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": true,
     "since": null
    },
    "examples": [
     "Walmart",
     "Walmart Neighborhood Market",
     "7 Brew",
     "The Greene Turtle",
     "Duffy's Sports Grill",
     "Taco Mac",
     "Dave & Buster's",
     "Chuck E. Cheese",
     "Planet Fitness",
     "Life Time",
     "LA Fitness",
     "Orangetheory Fitness",
     "CorePower Yoga",
     "Crunch Fitness",
     "Aspen Dental",
     "Comfort Dental",
     "Madison Square Garden",
     "Westfield Southcenter",
     "Chipotle Mexican Grill",
     "Equinox"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.placer.ai/",
     "date": "2026-09-29",
     "sectors": "stated"
    }
   }
  },
  {
   "id": "advan-research",
   "name": "Advan Research",
   "url": "https://altdataatlas.com/provider/advan-research",
   "website": "https://advanresearch.com",
   "category": "Foot Traffic & Mobility",
   "coverage": {
    "signals": [
     "geo",
     "txn",
     "wx",
     "auto"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Real estate"
     ],
     "regions": [
      "North America",
      "Global"
     ],
     "sectors": [
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Real Estate",
      "Industrials"
     ],
     "approxCount": 3500,
     "indexRefs": [],
     "tickerMapped": true,
     "since": null
    },
    "examples": [
     "Kia Motors",
     "Hyundai",
     "SJM Holdings Limited",
     "Hankook Tire",
     "Agilent Technologies",
     "Alcoa",
     "American Airlines Group",
     "Aaron's",
     "Advance Auto Parts",
     "Apple Retail Store",
     "ABB Ltd",
     "AbbVie",
     "Asbury Automotive Group",
     "Abbott Laboratories",
     "Barrick Gold Corporation",
     "Food Lion",
     "Archer-Daniels-Midland Company",
     "Adidas",
     "American Eagle Outfitters",
     "Amazon Go"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://advanresearch.com/tickers-location-data",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "ADVAN provides foot traffic data for all locations globally, and covers over 3,500 companies and brands with detailed breakdowns."
   }
  },
  {
   "id": "azira",
   "name": "Azira",
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   "website": "https://www.azira.com",
   "category": "Foot Traffic & Mobility",
   "coverage": {
    "signals": [
     "geo",
     "txn"
    ],
    "universe": {
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      "Public equities",
      "Real estate"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Real Estate"
     ],
     "approxCount": 43000000,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [
     "Pollo Campero"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.azira.com/solutions/azira-insights",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Using advanced data science models, Azira transforms 13 Trillion location signals and 45M Points of Interest (POIs) into clean and normalised location and mobility datasets."
   }
  },
  {
   "id": "veraset",
   "name": "Veraset",
   "url": "https://altdataatlas.com/provider/veraset",
   "website": "https://www.veraset.com",
   "category": "Foot Traffic & Mobility",
   "coverage": {
    "signals": [
     "geo"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Real estate"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Consumer Discretionary",
      "Consumer Staples",
      "Real Estate"
     ],
     "approxCount": 4000000,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://www.veraset.com/",
     "date": "2026-09-29",
     "sectors": "inferred"
    },
    "quote": "Device visits at 4M+ points of interest"
   }
  },
  {
   "id": "sustainalytics",
   "name": "Sustainalytics",
   "url": "https://altdataatlas.com/provider/sustainalytics",
   "website": "https://www.sustainalytics.com",
   "category": "ESG & Climate",
   "coverage": {
    "signals": [
     "esg"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Fixed income"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Energy",
      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "inferred",
     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "reprisk",
   "name": "RepRisk",
   "url": "https://altdataatlas.com/provider/reprisk",
   "website": "https://www.reprisk.com",
   "category": "ESG & Climate",
   "coverage": {
    "signals": [
     "esg",
     "sat"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Fixed income",
      "Private markets",
      "Real estate"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Energy",
      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": 357035,
     "indexRefs": [
      "S&P Dow Jones Indices",
      "JPX-Nikkei Indices"
     ],
     "tickerMapped": null,
     "since": 2007
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://www.reprisk.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "We systematically cover public & private companies, emerging & frontier markets"
   }
  },
  {
   "id": "iss-esg",
   "name": "ISS ESG",
   "url": "https://altdataatlas.com/provider/iss-esg",
   "website": "https://www.iss-stoxx.com/sustainability/",
   "category": "ESG & Climate",
   "coverage": {
    "signals": [
     "esg",
     "gov"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Funds"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Energy",
      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": 170000,
     "indexRefs": [],
     "tickerMapped": null,
     "since": 1998
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://www.iss-stoxx.com/sustainability/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "DataDesk platform: 15,000 factors across 170,000 issuers"
   }
  },
  {
   "id": "orbital-insight",
   "name": "Orbital Insight",
   "url": "https://altdataatlas.com/provider/orbital-insight",
   "website": "https://orbitalinsight.com",
   "category": "Satellite & Geospatial",
   "coverage": {
    "signals": [
     "sat"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Commodities"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Energy",
      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "inferred",
     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "spaceknow",
   "name": "SpaceKnow",
   "url": "https://altdataatlas.com/provider/spaceknow",
   "website": "https://www.spaceknow.com",
   "category": "Satellite & Geospatial",
   "coverage": {
    "signals": [
     "sat"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Commodities"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Energy",
      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "inferred",
     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "planet-labs",
   "name": "Planet Labs",
   "url": "https://altdataatlas.com/provider/planet-labs",
   "website": "https://www.planet.com",
   "category": "Satellite & Geospatial",
   "coverage": {
    "signals": [
     "sat",
     "esg",
     "auto",
     "est"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Commodities"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Energy",
      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [
     "Rural Payments Agency",
     "Kazakhstan Space Agency",
     "Bayer",
     "Empresas Públicas de Medellín (EPM)",
     "Aosta Valley region in Italy"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.planet.com/",
     "date": "2026-09-29",
     "sectors": "inferred"
    },
    "quote": "Organizations across industries and geographies work with Planet to gain a global, dynamic perspective about their most pressing operational challenges."
   }
  },
  {
   "id": "rs-metrics",
   "name": "RS Metrics",
   "url": "https://altdataatlas.com/provider/rs-metrics",
   "website": "https://www.rsmetrics.com",
   "category": "Satellite & Geospatial",
   "coverage": {
    "signals": [
     "sat",
     "esg",
     "wx",
     "geo",
     "sup",
     "auto",
     "gov"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Commodities"
     ],
     "regions": [
      "Global",
      "North America",
      "Europe"
     ],
     "sectors": [
      "Consumer Discretionary"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://rsmetrics.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "recorded the number of vehicles in parking lots at over 65,000 retail stores in the US"
   }
  },
  {
   "id": "ursa-space",
   "name": "Ursa Space Systems",
   "url": "https://altdataatlas.com/provider/ursa-space",
   "website": "https://ursaspace.com",
   "category": "Satellite & Geospatial",
   "coverage": {
    "signals": [
     "sat",
     "sup"
    ],
    "universe": {
     "assetClasses": [
      "Commodities"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Energy"
     ],
     "approxCount": 28000,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://ursaspace.com/products/data-subscriptions",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Satellite‑based volumetric measurements of 28,000 crude oil storage tanks across 130 countries, backed by multi‑year historical coverage."
   }
  },
  {
   "id": "panjiva",
   "name": "S&P Global Panjiva",
   "url": "https://altdataatlas.com/provider/panjiva",
   "website": "https://panjiva.com",
   "category": "Supply Chain & Shipping",
   "coverage": {
    "signals": [
     "sup"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Commodities"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Industrials",
      "Consumer Discretionary",
      "Materials",
      "Energy",
      "Consumer Staples"
     ],
     "approxCount": 9000000,
     "indexRefs": [],
     "tickerMapped": true,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://panjiva.com/",
     "date": "2026-09-29",
     "sectors": "inferred"
    },
    "quote": "We provide our clients with transactional data covering 35% of global trade flows."
   }
  },
  {
   "id": "importgenius",
   "name": "ImportGenius",
   "url": "https://altdataatlas.com/provider/importgenius",
   "website": "https://www.importgenius.com",
   "category": "Supply Chain & Shipping",
   "coverage": {
    "signals": [
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    ],
    "universe": {
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      "Public equities",
      "Commodities"
     ],
     "regions": [
      "North America",
      "Latin America",
      "Asia-Pacific",
      "Europe",
      "Africa"
     ],
     "sectors": [
      "Industrials",
      "Consumer Discretionary",
      "Materials",
      "Energy",
      "Consumer Staples"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [
     "Walmart",
     "Starbucks",
     "Columbia Sportswear",
     "Lenovo"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.importgenius.com/",
     "date": "2026-09-29",
     "sectors": "inferred"
    },
    "quote": "Uncover the import data of all 8 million U.S. businesses"
   }
  },
  {
   "id": "marinetraffic",
   "name": "MarineTraffic",
   "url": "https://altdataatlas.com/provider/marinetraffic",
   "website": "https://www.marinetraffic.com",
   "category": "Supply Chain & Shipping",
   "coverage": {
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    ],
    "universe": {
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     ],
     "regions": [
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     ],
     "sectors": [
      "Industrials",
      "Consumer Discretionary",
      "Materials",
      "Energy",
      "Consumer Staples"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
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    },
    "examples": [],
    "provenance": {
     "tier": "inferred",
     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "kpler",
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   "url": "https://altdataatlas.com/provider/kpler",
   "website": "https://www.kpler.com",
   "category": "Supply Chain & Shipping",
   "coverage": {
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    ],
    "universe": {
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      "Commodities"
     ],
     "regions": [
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      "Africa",
      "Asia-Pacific",
      "Middle East",
      "North America",
      "Europe"
     ],
     "sectors": [
      "Materials"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": 2017
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://www.kpler.com/solutions/fundamental-intelligence",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Discover data across 40+ commodities with grade level coverage"
   }
  },
  {
   "id": "revelio-labs",
   "name": "Revelio Labs",
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   "website": "https://www.reveliolabs.com",
   "category": "Jobs & Workforce",
   "coverage": {
    "signals": [
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    ],
    "universe": {
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     "regions": [
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      "North America"
     ],
     "sectors": [
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      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": 30000000,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [
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     "Amazon",
     "Airbnb",
     "Accenture",
     "Citi",
     "Dropbox",
     "Expedia",
     "Federal Reserve",
     "Cigna",
     "Deloitte",
     "Harvard",
     "Stanford",
     "BlackRock",
     "AT&T",
     "Barclays",
     "NVIDIA",
     "ADM",
     "Intel",
     "Qualcomm",
     "Exxon"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.reveliolabs.com/solutions/company-benchmarking",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "compare your workforce against 30M+ companies across 195+ countries"
   }
  },
  {
   "id": "lightcast",
   "name": "Lightcast",
   "url": "https://altdataatlas.com/provider/lightcast",
   "website": "https://lightcast.io",
   "category": "Jobs & Workforce",
   "coverage": {
    "signals": [
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    ],
    "universe": {
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     ],
     "regions": [
      "North America",
      "Europe",
      "Asia-Pacific",
      "Global"
     ],
     "sectors": [
      "Energy",
      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": 6300000,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://lightcast.io/our-data",
     "date": "2026-09-29",
     "sectors": "inferred"
    },
    "quote": "Lightcast data covers 165 countries, representing markets that make up 99% of the world's GDP."
   }
  },
  {
   "id": "linkup",
   "name": "LinkUp",
   "url": "https://altdataatlas.com/provider/linkup",
   "website": "https://www.linkup.com",
   "category": "Jobs & Workforce",
   "coverage": {
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    ],
    "universe": {
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     ],
     "regions": [
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     ],
     "sectors": [
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      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": 86000,
     "indexRefs": [],
     "tickerMapped": true,
     "since": 2007
    },
    "examples": [
     "Paramount Skydance",
     "Uber"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.linkup.com/products/raw",
     "date": "2026-09-29",
     "sectors": "inferred"
    },
    "quote": "LinkUp's flagship dataset: 350 million+ global job postings, indexed daily since 2007."
   }
  },
  {
   "id": "talentneuron",
   "name": "TalentNeuron",
   "url": "https://altdataatlas.com/provider/talentneuron",
   "website": "https://www.talentneuron.com",
   "category": "Jobs & Workforce",
   "coverage": {
    "signals": [
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     "xpn",
     "nlp"
    ],
    "universe": {
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     "regions": [
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     ],
     "sectors": [
      "Energy",
      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": 26000000,
     "indexRefs": [],
     "tickerMapped": false,
     "since": 2001
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://www.talentneuron.com/solutions",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "more than 200 unique markets representing 96% of global GDP, more than 65,000 skills, and insights on more than 26 million companies"
   }
  },
  {
   "id": "dtn",
   "name": "DTN",
   "url": "https://altdataatlas.com/provider/dtn",
   "website": "https://www.dtn.com",
   "category": "Weather & Agriculture",
   "coverage": {
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     "wx"
    ],
    "universe": {
     "assetClasses": [
      "Commodities",
      "Public equities"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Consumer Staples",
      "Energy",
      "Utilities",
      "Materials",
      "Financials"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
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    },
    "examples": [],
    "provenance": {
     "tier": "inferred",
     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "jupiter-intelligence",
   "name": "Jupiter Intelligence",
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   "website": "https://www.jupiterintel.com",
   "category": "Weather & Agriculture",
   "coverage": {
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    ],
    "universe": {
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      "Real estate"
     ],
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      "Asia-Pacific",
      "Global"
     ],
     "sectors": [
      "Real Estate",
      "Utilities"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": true,
     "since": null
    },
    "examples": [
     "Hawaiian Electric",
     "Liberty Mutual",
     "MS&AD InterRisk Research & Consulting",
     "Arcadis"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.jupiterintel.com/products",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Global coverage — 22.3 billion locations, 22k+ metrics per location."
   }
  },
  {
   "id": "sensor-tower",
   "name": "Sensor Tower",
   "url": "https://altdataatlas.com/provider/sensor-tower",
   "website": "https://sensortower.com",
   "category": "App Usage & Downloads",
   "coverage": {
    "signals": [
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     "txn",
     "geo"
    ],
    "universe": {
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  },
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  },
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   "id": "consumer-edge",
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  },
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     "sectors": "stated"
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    "quote": "1,300 Transactions 370 Million Loans $8 Trillion Notional Balance"
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  },
  {
   "id": "corelogic",
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      "Europe",
      "Asia-Pacific"
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     "sectors": [
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  },
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  },
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   "id": "calcbench",
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     "since": 2008
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     "sectors": "stated"
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    "quote": "19,000+ Company Universe"
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  },
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   "id": "lexisnexis",
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   "id": "dun-bradstreet",
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   "id": "glg",
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   "id": "alphasights",
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   "id": "guidepoint",
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   "id": "third-bridge",
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     "sectors": "stated"
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    "quote": "Explore the world's largest collection of on-demand expert insights and company intelligence covering over 75,000 public and private companies."
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  },
  {
   "id": "tegus",
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  },
  {
   "id": "arcadia",
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    },
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    },
    "quote": "Arcadia provides access to thousands of data providers across electricity, water, and waste in over 50 countries."
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  },
  {
   "id": "enverus",
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    "quote": "Analyze real-time and historical commodity pricing across 500+ data sources in MarketView Sphere"
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  },
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   "id": "wood-mackenzie",
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     "sectors": "stated"
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  },
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   "id": "glassnode",
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  },
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    },
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  },
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   "id": "nansen",
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    "quote": "500M+ labeled addresses - the deepest wallet labels onchain."
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  },
  {
   "id": "iqvia",
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     "sectors": "inferred"
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    "quote": "Global real world data exploration at your fingertips enables critical insights across the product lifecycle."
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  },
  {
   "id": "definitive-healthcare",
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      "North America"
     ],
     "sectors": [
      "Health Care"
     ],
     "approxCount": 9000,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [
     "Medtronic",
     "Deloitte",
     "Lenovo"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.definitivehc.com/data-products/hospital-view",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "HospitalView provides reliable data on every hospital and IDN in the United States. Inform your strategies with 9,000+ distinct facility profiles"
   }
  },
  {
   "id": "komodo-health",
   "name": "Komodo Health",
   "url": "https://altdataatlas.com/provider/komodo-health",
   "website": "https://www.komodohealth.com",
   "category": "Healthcare & Clinical",
   "coverage": {
    "signals": [
     "bio",
     "geo"
    ],
    "universe": {
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      "Public equities"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Health Care"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://www.komodohealth.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "1 trillion+ linked records. 330M+ de-identified patients, refreshed daily. The most comprehensive U.S. healthcare data foundation assembled."
   }
  },
  {
   "id": "pitchbook",
   "name": "PitchBook",
   "url": "https://altdataatlas.com/provider/pitchbook",
   "website": "https://pitchbook.com",
   "category": "Private Markets Signals",
   "coverage": {
    "signals": [
     "pe"
    ],
    "universe": {
     "assetClasses": [
      "Private markets",
      "Public equities"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Information Technology",
      "Communication Services",
      "Health Care",
      "Consumer Discretionary",
      "Financials"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "inferred",
     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "cb-insights",
   "name": "CB Insights",
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   "website": "https://www.cbinsights.com",
   "category": "Private Markets Signals",
   "coverage": {
    "signals": [
     "pe",
     "bio",
     "nlp",
     "xpn"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Private markets"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Information Technology",
      "Communication Services",
      "Health Care",
      "Consumer Discretionary",
      "Financials"
     ],
     "approxCount": 13000000,
     "indexRefs": [],
     "tickerMapped": null,
     "since": 2009
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://www.cbinsights.com/",
     "date": "2026-09-29",
     "sectors": "inferred"
    },
    "quote": "Company profiles — 13M+"
   }
  },
  {
   "id": "preqin",
   "name": "Preqin",
   "url": "https://altdataatlas.com/provider/preqin",
   "website": "https://www.preqin.com",
   "category": "Private Markets Signals",
   "coverage": {
    "signals": [
     "pe",
     "txn"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Private markets",
      "Fixed income",
      "Funds",
      "Real estate"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Energy",
      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": 135000,
     "indexRefs": [],
     "tickerMapped": null,
     "since": 2003
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://www.preqin.com/data/our-data",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Our global data covers what you need – we have details on 48,000 firms, 135,000+ funds, 20,000+ investors, and much more."
   }
  },
  {
   "id": "thinknum",
   "name": "Thinknum",
   "url": "https://altdataatlas.com/provider/thinknum",
   "website": "https://www.thinknum.com",
   "category": "Private Markets Signals",
   "coverage": {
    "signals": [
     "pe",
     "job",
     "geo",
     "auto",
     "web"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Private markets"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Consumer Discretionary",
      "Information Technology",
      "Real Estate"
     ],
     "approxCount": 450000,
     "indexRefs": [],
     "tickerMapped": true,
     "since": 2015
    },
    "examples": [
     "Carmax",
     "Nike",
     "Gap",
     "Banana Republic",
     "J. Crew",
     "Kohl's",
     "Nordstrom",
     "Amazon",
     "Best Buy",
     "Target",
     "Toys 'R' Us",
     "Wal-Mart",
     "Afterpay",
     "Trader Joe's"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.thinknum.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Explore datasets from 450,000+ companies"
   }
  },
  {
   "id": "forge-global",
   "name": "Forge Global",
   "url": "https://altdataatlas.com/provider/forge-global",
   "website": "https://forgeglobal.com",
   "category": "Private Markets Signals",
   "coverage": {
    "signals": [
     "pe",
     "web",
     "est"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Private markets"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Communication Services"
     ],
     "approxCount": 200,
     "indexRefs": [],
     "tickerMapped": false,
     "since": null
    },
    "examples": [
     "Databricks",
     "Stripe",
     "Ripple",
     "Figure AI",
     "DataRobot",
     "Whoop",
     "Shield AI",
     "Neuralink",
     "Blue Origin",
     "Glean",
     "Epic Games",
     "Zipline",
     "Rippling",
     "ByteDance",
     "Fireworks AI",
     "Mercury",
     "Ramp",
     "Cribl",
     "Vercel",
     "Replit"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://forgeglobal.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "A proprietary indicative price, calculated daily, for approximately 200 pre-IPO companies"
   }
  },
  {
   "id": "facteus",
   "name": "Facteus",
   "url": "https://altdataatlas.com/provider/facteus",
   "website": "https://www.facteus.com",
   "category": "Card & Transactions",
   "coverage": {
    "signals": [
     "txn",
     "auto",
     "geo"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Consumer Discretionary",
      "Consumer Staples"
     ],
     "approxCount": 3000,
     "indexRefs": [],
     "tickerMapped": true,
     "since": null
    },
    "examples": [
     "American Airlines",
     "Chick-Fil-A",
     "Jersey Mike's"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://facteus.com/products",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Debiased data feed monitoring performance of 3,000 public and private companies."
   }
  },
  {
   "id": "cardlytics",
   "name": "Cardlytics",
   "url": "https://altdataatlas.com/provider/cardlytics",
   "website": "https://www.cardlytics.com",
   "category": "Card & Transactions",
   "coverage": {
    "signals": [
     "txn",
     "auto"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "North America",
      "Europe"
     ],
     "sectors": [
      "Consumer Discretionary"
     ],
     "approxCount": 2195,
     "indexRefs": [],
     "tickerMapped": false,
     "since": 2008
    },
    "examples": [
     "Clarks",
     "Saatva",
     "Marriott Hotels",
     "Sky TV"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.cardlytics.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Findings draw on Cardlytics UK card-spend data across a panel of 2,195 tracked brands, mapped to 8 categories and 58 subcategories."
   }
  },
  {
   "id": "fable-data",
   "name": "Fable Data",
   "url": "https://altdataatlas.com/provider/fable-data",
   "website": "https://fabledata.com",
   "category": "Card & Transactions",
   "coverage": {
    "signals": [
     "txn"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "Europe",
      "North America"
     ],
     "sectors": [
      "Consumer Discretionary"
     ],
     "approxCount": 950,
     "indexRefs": [],
     "tickerMapped": true,
     "since": 2019
    },
    "examples": [
     "Kingfisher",
     "B&M",
     "McDonald's",
     "Pret a Manger",
     "Argos",
     "Currys",
     "John Lewis",
     "Spotify",
     "Netflix",
     "Shein",
     "Amazon",
     "Shopify",
     "PayPal",
     "Klarna"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.fabledata.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "950 + Tagged companies 550 + Tagged tickers"
   }
  },
  {
   "id": "1010data",
   "name": "1010data",
   "url": "https://altdataatlas.com/provider/1010data",
   "website": "https://1010data.com",
   "category": "Card & Transactions",
   "coverage": {
    "signals": [
     "txn"
    ],
    "universe": {
     "assetClasses": [
      "Fixed income"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Consumer Discretionary"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://1010data.com/solutions/retail/",
     "date": "2026-09-29",
     "sectors": "stated"
    }
   }
  },
  {
   "id": "import-io",
   "name": "Import.io",
   "url": "https://altdataatlas.com/provider/import-io",
   "website": "https://www.import.io",
   "category": "Web & Pricing Data",
   "coverage": {
    "signals": [
     "web",
     "gov"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "North America",
      "Global"
     ],
     "sectors": [
      "Consumer Discretionary",
      "Consumer Staples"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": false,
     "since": 2012
    },
    "examples": [
     "Kroger",
     "Walmart",
     "Target",
     "Aldi",
     "Costco",
     "Albertsons"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.import.io/solutions/ai",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Commerce product catalog Product titles, attributes, descriptions, prices, availability and categories from retailers and marketplaces, matched to GTIN where present."
   }
  },
  {
   "id": "zyte",
   "name": "Zyte",
   "url": "https://altdataatlas.com/provider/zyte",
   "website": "https://www.zyte.com",
   "category": "Web & Pricing Data",
   "coverage": {
    "signals": [
     "web"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "Europe"
     ],
     "sectors": [
      "Consumer Discretionary"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": false,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://www.zyte.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Product listings, prices, reviews, and inventory data from the retail websites that matter to you."
   }
  },
  {
   "id": "diffbot",
   "name": "Diffbot",
   "url": "https://altdataatlas.com/provider/diffbot",
   "website": "https://www.diffbot.com",
   "category": "Web & Pricing Data",
   "coverage": {
    "signals": [
     "web"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Consumer Discretionary",
      "Consumer Staples",
      "Communication Services",
      "Industrials"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "inferred",
     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "intelligence-node",
   "name": "Intelligence Node",
   "url": "https://altdataatlas.com/provider/intelligence-node",
   "website": "https://www.intelligencenode.com",
   "category": "Web & Pricing Data",
   "coverage": {
    "signals": [
     "web"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Consumer Discretionary",
      "Consumer Staples"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": 2013
    },
    "examples": [
     "Home Centre",
     "Mitra Adiperkasa"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.intelligencenode.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Largest AI-driven retail dataset with 13 years of history"
   }
  },
  {
   "id": "webz-io",
   "name": "Webz.io",
   "url": "https://altdataatlas.com/provider/webz-io",
   "website": "https://webz.io",
   "category": "Web & Pricing Data",
   "coverage": {
    "signals": [
     "web",
     "nlp"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Consumer Discretionary",
      "Consumer Staples",
      "Communication Services",
      "Industrials"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": true,
     "since": null
    },
    "examples": [
     "NVIDIA"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://webz.io/products/news-search-api/",
     "date": "2026-09-29",
     "sectors": "inferred"
    },
    "quote": "Webz.io currently states coverage of more than 3.5 million news articles each day from 300,000+ news sites, spanning 170+ languages and 200+ countries."
   }
  },
  {
   "id": "oxylabs",
   "name": "Oxylabs",
   "url": "https://altdataatlas.com/provider/oxylabs",
   "website": "https://oxylabs.io",
   "category": "Web & Pricing Data",
   "coverage": {
    "signals": [
     "web",
     "nlp"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "North America",
      "Europe",
      "Asia-Pacific",
      "Africa"
     ],
     "sectors": [
      "Consumer Discretionary",
      "Consumer Staples",
      "Communication Services",
      "Industrials"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [
     "Amazon",
     "Google",
     "ChatGPT",
     "Gemini",
     "Walmart",
     "eBay",
     "Target",
     "Wayfair",
     "Home Depot"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://oxylabs.io/products/datasets",
     "date": "2026-09-29",
     "sectors": "inferred"
    },
    "quote": "Ready-to-use datasets across industries"
   }
  },
  {
   "id": "scrapehero",
   "name": "ScrapeHero",
   "url": "https://altdataatlas.com/provider/scrapehero",
   "website": "https://www.scrapehero.com",
   "category": "Web & Pricing Data",
   "coverage": {
    "signals": [
     "web",
     "job",
     "geo"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Commodities"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Financials"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://www.scrapehero.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    }
   }
  },
  {
   "id": "alphasense",
   "name": "AlphaSense",
   "url": "https://altdataatlas.com/provider/alphasense",
   "website": "https://www.alpha-sense.com",
   "category": "News & Sentiment",
   "coverage": {
    "signals": [
     "nlp",
     "txn",
     "xpn",
     "gov",
     "est",
     "pe"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Fixed income",
      "FX",
      "Commodities"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Health Care",
      "Information Technology"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [
     "Salesforce",
     "Dow",
     "ODDO BHF",
     "YH2 Capital",
     "Recurve Capital",
     "Royalty Pharma"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.alpha-sense.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "500+ million premium financial and business documents"
   }
  },
  {
   "id": "marketpsych",
   "name": "MarketPsych",
   "url": "https://altdataatlas.com/provider/marketpsych",
   "website": "https://www.marketpsych.com",
   "category": "News & Sentiment",
   "coverage": {
    "signals": [
     "nlp",
     "esg",
     "est"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Commodities",
      "Digital assets"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Information Technology",
      "Consumer Discretionary"
     ],
     "approxCount": 155000,
     "indexRefs": [],
     "tickerMapped": true,
     "since": null
    },
    "examples": [
     "Apple",
     "Five Below",
     "Pop Mart International",
     "Tesla"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.marketpsych.com/home",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Global, real-time news and social media as structured data for global equities, macro and crypto assets."
   }
  },
  {
   "id": "causality-link",
   "name": "Causality Link",
   "url": "https://altdataatlas.com/provider/causality-link",
   "website": "https://www.causalitylink.com",
   "category": "News & Sentiment",
   "coverage": {
    "signals": [
     "nlp",
     "est"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Energy",
      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": 40000,
     "indexRefs": [],
     "tickerMapped": true,
     "since": 2014
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://causalitylink.com/product/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Research virtually any publicly traded company in the world – over 40,000 firms across 187 exchanges worldwide"
   }
  },
  {
   "id": "brain-company",
   "name": "Brain",
   "url": "https://altdataatlas.com/provider/brain-company",
   "website": "https://braincompany.co",
   "category": "News & Sentiment",
   "coverage": {
    "signals": [
     "nlp",
     "cry",
     "gov",
     "est"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Digital assets",
      "FX",
      "Commodities"
     ],
     "regions": [
      "North America",
      "Europe",
      "Global"
     ],
     "sectors": [
      "Energy",
      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": 10000,
     "indexRefs": [
      "S&P 500"
     ],
     "tickerMapped": true,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://braincompany.co/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "The Brain Sentiment Indicator (BSI) measures the “mood” on more than 10000 global stocks, major sectors, currencies, commodities and crypto"
   }
  },
  {
   "id": "thasos",
   "name": "RetailStat",
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   "website": "https://retailstat.com",
   "category": "Foot Traffic & Mobility",
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    "signals": [
     "geo",
     "crd",
     "bio",
     "txn",
     "est"
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      "Public equities",
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     ],
     "regions": [
      "North America"
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     "sectors": [
      "Consumer Discretionary",
      "Consumer Staples",
      "Real Estate"
     ],
     "approxCount": null,
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     "tickerMapped": null,
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    },
    "examples": [
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     "Walmart",
     "Target",
     "Costco"
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     "sectors": "stated"
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    "quote": "covering 46,000+ grocery stores, 125+ data points per location, and consistently updated store intelligence"
   }
  },
  {
   "id": "cuebiq",
   "name": "Cuebiq",
   "url": "https://altdataatlas.com/provider/cuebiq",
   "website": "https://www.cuebiq.com",
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     "geo"
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    "universe": {
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      "North America"
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     "sectors": [
      "Consumer Discretionary",
      "Consumer Staples",
      "Real Estate"
     ],
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    },
    "examples": [],
    "provenance": {
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     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "unacast",
   "name": "Unacast",
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   "coverage": {
    "signals": [
     "geo"
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    "universe": {
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      "Public equities",
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     "regions": [
      "Global"
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     "sectors": [
      "Consumer Discretionary",
      "Consumer Staples",
      "Real Estate"
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    },
    "examples": [],
    "provenance": {
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     "date": "2026-09-29",
     "sectors": "inferred"
    },
    "quote": "With more than 1 billion monthly devices across 180+ countries from 15+ suppliers, get the scale you need."
   }
  },
  {
   "id": "safegraph",
   "name": "SafeGraph",
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   "website": "https://www.safegraph.com",
   "category": "Foot Traffic & Mobility",
   "coverage": {
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     "geo",
     "txn"
    ],
    "universe": {
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      "Public equities",
      "Real estate"
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      "Global"
     ],
     "sectors": [
      "Consumer Discretionary"
     ],
     "approxCount": null,
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     "tickerMapped": null,
     "since": 2019
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://www.safegraph.com/products/places/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "POIs 80 M+ Brands 15 K+ Categories 900 + Countries & Territories 195 +"
   }
  },
  {
   "id": "streetlight-data",
   "name": "StreetLight Data",
   "url": "https://altdataatlas.com/provider/streetlight-data",
   "website": "https://www.streetlightdata.com",
   "category": "Foot Traffic & Mobility",
   "coverage": {
    "signals": [
     "geo"
    ],
    "universe": {
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      "Real Estate"
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    },
    "examples": [],
    "provenance": {
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     "source": "editorial category→sector table v1",
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    }
   }
  },
  {
   "id": "premise-data",
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   "website": "https://www.premise.com",
   "category": "Foot Traffic & Mobility",
   "coverage": {
    "signals": [
     "geo",
     "sat",
     "xpn",
     "web"
    ],
    "universe": {
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     "regions": [
      "Global"
     ],
     "sectors": [
      "Consumer Staples"
     ],
     "approxCount": null,
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     "tickerMapped": null,
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    },
    "examples": [
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     "Feed the Future Senegal"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://premise.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Premise help s organizations discover, enhance, and validate points of interest and route data—delivering rich, accurate geospatial insights"
   }
  },
  {
   "id": "esg-book",
   "name": "ESG Book",
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   "website": "https://www.esgbook.com",
   "category": "ESG & Climate",
   "coverage": {
    "signals": [
     "esg",
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     "sectors": [
      "Energy",
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      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": 76000,
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     "tickerMapped": null,
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    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://www.esgbook.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "covering 76,000 companies across 500+ metrics with 5+ years of history"
   }
  },
  {
   "id": "clarity-ai",
   "name": "Clarity AI",
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   "website": "https://clarity.ai",
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    "signals": [
     "esg",
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    "universe": {
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      "Funds"
     ],
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     ],
     "sectors": [
      "Energy",
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      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": 2300000,
     "indexRefs": [],
     "tickerMapped": null,
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    },
    "examples": [
     "Visalia",
     "HSBC UK"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://clarity.ai/",
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     "sectors": "stated"
    },
    "quote": "0.3M Listed and Private Companies"
   }
  },
  {
   "id": "util",
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   "website": "https://www.util.co",
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   "coverage": {
    "signals": [
     "esg"
    ],
    "universe": {
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     ],
     "regions": [
      "Europe"
     ],
     "sectors": [
      "Energy",
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      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": null,
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    },
    "examples": [],
    "provenance": {
     "tier": "inferred",
     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "entelligent",
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   "website": "https://www.entelligent.com",
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    "signals": [
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     "gov"
    ],
    "universe": {
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      "North America"
     ],
     "sectors": [
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      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": 38000,
     "indexRefs": [],
     "tickerMapped": true,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://www.entelligent.com/entelligent-solutions/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Provides transition data on 38,000+ securities."
   }
  },
  {
   "id": "kayrros",
   "name": "Kayrros",
   "url": "https://altdataatlas.com/provider/kayrros",
   "website": "https://www.kayrros.com",
   "category": "Satellite & Geospatial",
   "coverage": {
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     "sectors": [
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      "Consumer Discretionary",
      "Consumer Staples",
      "Utilities",
      "Real Estate"
     ],
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    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://www.kayrros.com/",
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     "sectors": "inferred"
    },
    "quote": "Largest mapped database of millions of industry assets and natural ecosystems"
   }
  },
  {
   "id": "maxar",
   "name": "Vantor",
   "url": "https://altdataatlas.com/provider/maxar",
   "website": "https://vantor.com",
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   "coverage": {
    "signals": [
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    ],
    "universe": {
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     "sectors": [
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      "Consumer Discretionary",
      "Consumer Staples",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": null,
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    },
    "examples": [],
    "provenance": {
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     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "blacksky",
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   "website": "https://www.blacksky.com",
   "category": "Satellite & Geospatial",
   "coverage": {
    "signals": [
     "sat"
    ],
    "universe": {
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     ],
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     "sectors": [
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      "Consumer Discretionary",
      "Consumer Staples",
      "Utilities",
      "Real Estate"
     ],
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    },
    "examples": [],
    "provenance": {
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     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "iceye",
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   "website": "https://www.iceye.com",
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    "signals": [
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    ],
    "universe": {
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      "Commodities"
     ],
     "regions": [
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     ],
     "sectors": [
      "Financials"
     ],
     "approxCount": null,
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     "tickerMapped": null,
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    },
    "examples": [
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     "TMNF",
     "Juniper Re"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.iceye.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    }
   }
  },
  {
   "id": "satellogic",
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   "website": "https://satellogic.com",
   "category": "Satellite & Geospatial",
   "coverage": {
    "signals": [
     "sat",
     "iot"
    ],
    "universe": {
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      "Commodities"
     ],
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     ],
     "sectors": [
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      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Utilities",
      "Real Estate"
     ],
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    },
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    "provenance": {
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     "source": "https://satellogic.com/products/",
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     "sectors": "inferred"
    }
   }
  },
  {
   "id": "ghgsat",
   "name": "GHGSat",
   "url": "https://altdataatlas.com/provider/ghgsat",
   "website": "https://www.ghgsat.com",
   "category": "Satellite & Geospatial",
   "coverage": {
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     "xpn",
     "est"
    ],
    "universe": {
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      "Europe",
      "Middle East"
     ],
     "sectors": [
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      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": null,
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     "tickerMapped": false,
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    },
    "examples": [
     "SOCAR",
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     "S&P Global"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.ghgsat.com/",
     "date": "2026-09-29",
     "sectors": "inferred"
    },
    "quote": "127 Countries monitored"
   }
  },
  {
   "id": "geospatial-insight",
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     ],
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     ],
     "sectors": [
      "Energy",
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      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": 29000000,
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     "tickerMapped": null,
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    },
    "examples": [
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    ],
    "provenance": {
     "tier": "stated",
     "source": "https://geospatial-insight.com/",
     "date": "2026-09-29",
     "sectors": "inferred"
    },
    "quote": "PropertyView UK's Database has 29 million UK buildings with 50+ attributes"
   }
  },
  {
   "id": "sea-intelligence",
   "name": "Sea-Intelligence",
   "url": "https://altdataatlas.com/provider/sea-intelligence",
   "website": "https://www.sea-intelligence.com",
   "category": "Supply Chain & Shipping",
   "coverage": {
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    ],
    "universe": {
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     ],
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     ],
     "sectors": [
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     ],
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    },
    "examples": [],
    "provenance": {
     "tier": "stated",
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     "sectors": "stated"
    },
    "quote": "Based on more than 12,000 distinct vessel arrivals each month, across 60+ carriers, 300+ loops, and 34 trade lanes."
   }
  },
  {
   "id": "importyeti",
   "name": "ImportYeti",
   "url": "https://altdataatlas.com/provider/importyeti",
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    "universe": {
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     ],
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      "Energy",
      "Consumer Staples"
     ],
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    },
    "examples": [],
    "provenance": {
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     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "vesselsvalue",
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   "website": "https://www.vesselsvalue.com",
   "category": "Supply Chain & Shipping",
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    "universe": {
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     ],
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     ],
     "sectors": [
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      "Energy",
      "Consumer Staples"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
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    },
    "examples": [
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    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.vesselsvalue.com/solutions/shipowners-managers-brokers/",
     "date": "2026-09-29",
     "sectors": "inferred"
    }
   }
  },
  {
   "id": "windward",
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   "website": "https://windward.ai",
   "category": "Supply Chain & Shipping",
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    ],
    "universe": {
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     ],
     "regions": [
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     ],
     "sectors": [
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      "Industrials"
     ],
     "approxCount": null,
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     "tickerMapped": null,
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    },
    "examples": [
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     "Shoreline Ltd.",
     "Arte Bunkering",
     "Equals Money",
     "MAOC (N)",
     "UN Panel of Experts"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://windward.ai/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Windward is the leading Maritime AI™ company, delivering an all-source operational picture of the maritime domain."
   }
  },
  {
   "id": "freightwaves",
   "name": "FreightWaves",
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   "website": "https://www.freightwaves.com",
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     ],
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     ],
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    },
    "examples": [],
    "provenance": {
     "tier": "stated",
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     "sectors": "stated"
    },
    "quote": "SONAR aggregates data from hundreds of sources, presenting the data in charts and maps and providing commentary on what freight market experts want to know about the industry in real time."
   }
  },
  {
   "id": "project44",
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   "website": "https://www.project44.com",
   "category": "Supply Chain & Shipping",
   "coverage": {
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     "auto"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Commodities"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Consumer Discretionary"
     ],
     "approxCount": 282000,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [
     "BAT",
     "Tailored Brands",
     "HARIBO",
     "Empresas Agrosuper"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.project44.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "282K carriers connected globally"
   }
  },
  {
   "id": "xeneta",
   "name": "Xeneta",
   "url": "https://altdataatlas.com/provider/xeneta",
   "website": "https://www.xeneta.com",
   "category": "Supply Chain & Shipping",
   "coverage": {
    "signals": [
     "sup"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Commodities"
     ],
     "regions": [
      "Europe"
     ],
     "sectors": [
      "Industrials",
      "Consumer Discretionary",
      "Materials",
      "Energy",
      "Consumer Staples"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [
     "Stanley Black & Decker",
     "Rockwool",
     "Nestlé",
     "Electrolux"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.xeneta.com/about-us/our-data",
     "date": "2026-09-29",
     "sectors": "inferred"
    },
    "quote": "Xeneta is the world's largest real-time, independent ocean and air freight rate database, with nearly 900 million data points"
   }
  },
  {
   "id": "vortexa",
   "name": "Vortexa",
   "url": "https://altdataatlas.com/provider/vortexa",
   "website": "https://www.vortexa.com",
   "category": "Supply Chain & Shipping",
   "coverage": {
    "signals": [
     "sup",
     "auto"
    ],
    "universe": {
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      "Commodities"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Energy"
     ],
     "approxCount": null,
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     "tickerMapped": null,
     "since": 2016
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://www.vortexa.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Our platform spans the full spectrum of oil and gas down to the product and grade level, with historical data going back to 2016."
   }
  },
  {
   "id": "everstream",
   "name": "Everstream Analytics",
   "url": "https://altdataatlas.com/provider/everstream",
   "website": "https://www.everstream.ai",
   "category": "Supply Chain & Shipping",
   "coverage": {
    "signals": [
     "sup",
     "auto",
     "esg",
     "wx"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Commodities"
     ],
     "regions": [
      "Global",
      "Asia-Pacific"
     ],
     "sectors": [
      "Consumer Staples"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
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    },
    "examples": [
     "Nissan",
     "Danone",
     "Molson Coors CEE",
     "BD"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.everstream.ai/platform/global-monitoring/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Global Coverage – Comprehensive monitoring across all regions, including countries with limited information access like China"
   }
  },
  {
   "id": "live-data-technologies",
   "name": "Live Data Technologies",
   "url": "https://altdataatlas.com/provider/live-data-technologies",
   "website": "https://www.livedatatechnologies.com",
   "category": "Jobs & Workforce",
   "coverage": {
    "signals": [
     "job"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Energy",
      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": null,
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     "tickerMapped": null,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "inferred",
     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "greenwich-hr",
   "name": "Greenwich.HR",
   "url": "https://altdataatlas.com/provider/greenwich-hr",
   "website": "https://greenwich.hr",
   "category": "Jobs & Workforce",
   "coverage": {
    "signals": [
     "job"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Energy",
      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": null,
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     "tickerMapped": null,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "inferred",
     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "coresignal",
   "name": "Coresignal",
   "url": "https://altdataatlas.com/provider/coresignal",
   "website": "https://coresignal.com",
   "category": "Jobs & Workforce",
   "coverage": {
    "signals": [
     "job"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "Europe"
     ],
     "sectors": [
      "Energy",
      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
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    },
    "examples": [],
    "provenance": {
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     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "people-data-labs",
   "name": "People Data Labs",
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   "website": "https://www.peopledatalabs.com",
   "category": "Jobs & Workforce",
   "coverage": {
    "signals": [
     "job"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Energy",
      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": null,
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     "tickerMapped": null,
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    },
    "examples": [],
    "provenance": {
     "tier": "inferred",
     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "climate-fieldview",
   "name": "Climate FieldView",
   "url": "https://altdataatlas.com/provider/climate-fieldview",
   "website": "https://climate.com",
   "category": "Weather & Agriculture",
   "coverage": {
    "signals": [
     "wx"
    ],
    "universe": {
     "assetClasses": [
      "Commodities",
      "Public equities"
     ],
     "regions": [
      "Europe"
     ],
     "sectors": [
      "Consumer Staples",
      "Energy",
      "Utilities",
      "Materials",
      "Financials"
     ],
     "approxCount": null,
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     "tickerMapped": null,
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    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://climate.com/de-de.html",
     "date": "2026-09-29",
     "sectors": "inferred"
    },
    "quote": "Die Anbindung von FieldView™ an über 60 Partner ermöglicht einen einfacheren Datenaustausch als je zuvor."
   }
  },
  {
   "id": "tomorrow-io",
   "name": "Tomorrow.io",
   "url": "https://altdataatlas.com/provider/tomorrow-io",
   "website": "https://www.tomorrow.io",
   "category": "Weather & Agriculture",
   "coverage": {
    "signals": [
     "wx",
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    ],
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      "Commodities",
      "Public equities"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Industrials",
      "Financials",
      "Health Care",
      "Energy",
      "Utilities",
      "Consumer Discretionary",
      "Communication Services"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [
     "Lufthansa",
     "Shipt",
     "Uber",
     "FOX Sports",
     "NASCAR",
     "Ford Performance",
     "CHS"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.tomorrow.io/weather-intelligence-platform/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "From countries and governments to global enterprises, Tomorrow.io empowers all sectors and industries"
   }
  },
  {
   "id": "planalytics",
   "name": "Planalytics",
   "url": "https://altdataatlas.com/provider/planalytics",
   "website": "https://www.planalytics.com",
   "category": "Weather & Agriculture",
   "coverage": {
    "signals": [
     "wx",
     "geo"
    ],
    "universe": {
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      "Commodities",
      "Public equities"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Consumer Discretionary",
      "Consumer Staples"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
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    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://www.planalytics.com/overview/",
     "date": "2026-09-29",
     "sectors": "stated"
    }
   }
  },
  {
   "id": "spire-global",
   "name": "Spire Global",
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   "website": "https://spire.com",
   "category": "Weather & Agriculture",
   "coverage": {
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     "wx"
    ],
    "universe": {
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      "Commodities",
      "Public equities"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Consumer Staples",
      "Energy",
      "Utilities",
      "Materials",
      "Financials"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
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    },
    "examples": [],
    "provenance": {
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     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "appmagic",
   "name": "AppMagic",
   "url": "https://altdataatlas.com/provider/appmagic",
   "website": "https://appmagic.rocks",
   "category": "App Usage & Downloads",
   "coverage": {
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     "app"
    ],
    "universe": {
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      "Public equities"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Communication Services",
      "Consumer Discretionary",
      "Information Technology",
      "Financials"
     ],
     "approxCount": null,
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     "tickerMapped": null,
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    },
    "examples": [],
    "provenance": {
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     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "adjust",
   "name": "Adjust",
   "url": "https://altdataatlas.com/provider/adjust",
   "website": "https://www.adjust.com",
   "category": "App Usage & Downloads",
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     "app"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Communication Services",
      "Consumer Discretionary",
      "Information Technology",
      "Financials"
     ],
     "approxCount": null,
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     "tickerMapped": null,
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    },
    "examples": [],
    "provenance": {
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     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "appsflyer",
   "name": "AppsFlyer",
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   "website": "https://www.appsflyer.com",
   "category": "App Usage & Downloads",
   "coverage": {
    "signals": [
     "app"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Communication Services",
      "Consumer Discretionary",
      "Information Technology",
      "Financials"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
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    },
    "examples": [],
    "provenance": {
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     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "forty-two-matters",
   "name": "42matters",
   "url": "https://altdataatlas.com/provider/forty-two-matters",
   "website": "https://42matters.com",
   "category": "App Usage & Downloads",
   "coverage": {
    "signals": [
     "app"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "Europe"
     ],
     "sectors": [
      "Communication Services",
      "Consumer Discretionary",
      "Information Technology",
      "Financials"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
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    },
    "examples": [],
    "provenance": {
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     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "numerator",
   "name": "Numerator",
   "url": "https://altdataatlas.com/provider/numerator",
   "website": "https://www.numerator.com",
   "category": "Email Receipts",
   "coverage": {
    "signals": [
     "rct",
     "xpn",
     "txn"
    ],
    "universe": {
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      "Public equities"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Consumer Discretionary",
      "Consumer Staples"
     ],
     "approxCount": null,
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     "tickerMapped": null,
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    },
    "examples": [
     "King Arthur Baking Company"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.numerator.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "2.5B+ trips. 50K+ retailers. 80% item-level coverage. Omnichannel purchase data captures how consumers actually shop"
   }
  },
  {
   "id": "experian",
   "name": "Experian",
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   "website": "https://www.experian.com",
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    "signals": [
     "crd"
    ],
    "universe": {
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      "Public equities"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Financials",
      "Consumer Discretionary",
      "Real Estate"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "inferred",
     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "equifax",
   "name": "Equifax",
   "url": "https://altdataatlas.com/provider/equifax",
   "website": "https://www.equifax.com",
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    "signals": [
     "crd"
    ],
    "universe": {
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      "Fixed income",
      "Public equities"
     ],
     "regions": [
      "North America",
      "Latin America",
      "Europe",
      "Asia-Pacific"
     ],
     "sectors": [
      "Financials"
     ],
     "approxCount": null,
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     "tickerMapped": null,
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    },
    "examples": [],
    "provenance": {
     "tier": "stated",
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     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "This credit score is a VantageScore ® 3.0 based on Equifax data."
   }
  },
  {
   "id": "transunion",
   "name": "TransUnion",
   "url": "https://altdataatlas.com/provider/transunion",
   "website": "https://www.transunion.com",
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    "signals": [
     "crd"
    ],
    "universe": {
     "assetClasses": [
      "Fixed income",
      "Public equities"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Financials",
      "Consumer Discretionary",
      "Real Estate"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
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    },
    "examples": [],
    "provenance": {
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     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "nova-credit",
   "name": "Nova Credit",
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   "website": "https://www.novacredit.com",
   "category": "Credit & Lending",
   "coverage": {
    "signals": [
     "crd",
     "txn"
    ],
    "universe": {
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      "Public equities"
     ],
     "regions": [
      "North America",
      "Global"
     ],
     "sectors": [
      "Financials"
     ],
     "approxCount": null,
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     "tickerMapped": false,
     "since": null
    },
    "examples": [
     "Chase",
     "PayPal",
     "Yardi",
     "SoFi",
     "Genesis Financial Solutions"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.novacredit.com/solutions-by-use-case",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Nova Credit works with credit bureaus in over a dozen countries, and our data aggregators cover over 90% of U.S. banks."
   }
  },
  {
   "id": "bloomberg-government",
   "name": "Bloomberg Government",
   "url": "https://altdataatlas.com/provider/bloomberg-government",
   "website": "https://about.bgov.com",
   "category": "Public Records & Filings",
   "coverage": {
    "signals": [
     "gov"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Energy",
      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": null,
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    },
    "examples": [],
    "provenance": {
     "tier": "inferred",
     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "govspend",
   "name": "GovSpend",
   "url": "https://altdataatlas.com/provider/govspend",
   "website": "https://www.govspend.com",
   "category": "Public Records & Filings",
   "coverage": {
    "signals": [
     "gov",
     "txn"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Energy",
      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": 291000,
     "indexRefs": [],
     "tickerMapped": null,
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    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://govspend.com/govspend-platform/our-data-advantage/",
     "date": "2026-09-29",
     "sectors": "inferred"
    },
    "quote": "291,000 agencies. One living record for each."
   }
  },
  {
   "id": "intelligize",
   "name": "Intelligize",
   "url": "https://altdataatlas.com/provider/intelligize",
   "website": "https://www.intelligize.com",
   "category": "Public Records & Filings",
   "coverage": {
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     "gov"
    ],
    "universe": {
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      "Public equities"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Energy",
      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
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    },
    "examples": [],
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    "quote": "Best coverage for the US"
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  },
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    "quote": "2.2 M public, private, and nonprofit organizations"
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  },
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   "id": "quiver-quant",
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  },
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  },
  {
   "id": "dialectica",
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  },
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   "id": "prosapient",
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   }
  },
  {
   "id": "atheneum",
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      "Consumer Discretionary",
      "Industrials"
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     "sectors": "stated"
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    "quote": "22% healthcare 18% technology 14% consumer goods & services 12% industrials & transportation 12% financial services"
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  },
  {
   "id": "civicscience",
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  },
  {
   "id": "utilityapi",
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     "sectors": [
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     "approxCount": 15000000,
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     "tickerMapped": false,
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     "Energy Toolbase",
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     "Sunrun",
     "CLEAResult"
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    "provenance": {
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     "source": "https://utilityapi.com/products/utility-data-exchange",
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     "sectors": "stated"
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    "quote": "15 M+ Meters on the network"
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  },
  {
   "id": "cryptoquant",
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  },
  {
   "id": "kaiko",
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  },
  {
   "id": "messari",
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  },
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   "id": "dune",
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  },
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   "id": "amberdata",
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     "sectors": [
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     "approxCount": 500000,
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    },
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    "quote": "1,000+ Centralized and Decentralized Exchanges, 13+ Years of Historical Data, 500K+ Trading Pairs"
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  },
  {
   "id": "the-tie",
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    "quote": "Comprehensive coverage of over 500+ tokens with minute-level granularity, tracing back to 2017."
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  },
  {
   "id": "santiment",
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     "approxCount": 2500,
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  },
  {
   "id": "arkham",
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    },
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  },
  {
   "id": "veeva",
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  },
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   "id": "clarivate",
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    },
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  },
  {
   "id": "trinetx",
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     "sectors": "stated"
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    "quote": "We keep data where it belongs — within a secure, connected network of more than 13,000 clinical sites across 20+ countries worldwide"
   }
  },
  {
   "id": "truveta",
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    },
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     "sectors": "stated"
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   }
  },
  {
   "id": "clarify-health",
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    },
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   }
  },
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     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Synoma provides access to our IDV Patient Repository, which contains over 300 million patients"
   }
  },
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   "id": "evaluate",
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   }
  },
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  },
  {
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      "Financials",
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  },
  {
   "id": "crunchbase",
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      "Consumer Discretionary",
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    },
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    },
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  },
  {
   "id": "dealroom",
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      "Utilities"
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    },
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     "Helsing",
     "Cyera",
     "Base Power",
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     "Neko Health",
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     "Newcleo",
     "Marvel Fusion",
     "Revolut",
     "Ramp",
     "Monzo",
     "BioNTech"
    ],
    "provenance": {
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     "sectors": "stated"
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   }
  },
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   "id": "sacra",
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    },
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    "provenance": {
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     "sectors": "inferred"
    },
    "quote": "Sacra delivers deeply researched insights on the private companies shaping tomorrow's markets."
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  },
  {
   "id": "caplight",
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     "sectors": [
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      "Consumer Discretionary",
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     ],
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    },
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     "Stripe",
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     "Airtable",
     "DataRobot",
     "ByteDance"
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    "provenance": {
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     "sectors": "inferred"
    },
    "quote": "Daily price points for over 180 pre-IPO companies"
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  },
  {
   "id": "grata",
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    "universe": {
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      "Financials",
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      "Real Estate"
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     "approxCount": 22000000,
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    },
    "examples": [
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    "provenance": {
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     "sectors": "stated"
    },
    "quote": "Target 22M+ private companies that legacy databases miss"
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  },
  {
   "id": "sourcescrub",
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      "Financials",
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    },
    "examples": [],
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    },
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  },
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  },
  {
   "id": "airports-council-international",
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    },
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  },
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   "id": "airsage",
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  },
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    },
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     "sectors": "stated"
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  },
  {
   "id": "amass-insights",
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      "Communication Services"
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     "approxCount": 40000,
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    },
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  },
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   "id": "boxoffice-media",
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   }
  },
  {
   "id": "bridg",
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     "sectors": "stated"
    },
    "quote": "Bridg is helping brick-and-mortar retailers use expanded, enriched and actionable first-party (1P) data"
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  },
  {
   "id": "broughton-capital",
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    "universe": {
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    },
    "examples": [
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     "Canadian National",
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    "provenance": {
     "tier": "stated",
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     "sectors": "stated"
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   }
  },
  {
   "id": "capella-space",
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  },
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   "id": "mozenda",
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    },
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  },
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  },
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  },
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   "id": "randomwalk",
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    },
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   "id": "stocktwits",
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  },
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      "Health Care",
      "Consumer Discretionary",
      "Financials"
     ],
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     "Michael Foods",
     "Takasago International Corporation",
     "LiveRamp"
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     "tier": "stated",
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     "sectors": "inferred"
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    "quote": "Built on the world's most comprehensive dataset 214M+ Patents 174 Jurisdictions 1.62B Data points 256M Literature 1B+ Biosequences 49K+ Drug Targets"
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  },
  {
   "id": "digitalmr",
   "name": "DigitalMR",
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      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
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      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": null,
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     "tickerMapped": null,
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    },
    "examples": [
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     "Vivobarefoot",
     "SABMiller"
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    "provenance": {
     "tier": "stated",
     "source": "https://www.listening247.com/about-us",
     "date": "2026-09-29",
     "sectors": "inferred"
    },
    "quote": "The listening247 team is committed to gathering and delivering intelligent data on 1 million brands by the end of 2028."
   }
  },
  {
   "id": "native",
   "name": "Native",
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   "website": "https://www.native.io",
   "category": "Expert Networks & Surveys",
   "coverage": {
    "signals": [
     "xpn",
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     "sup"
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    "universe": {
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      "Public equities",
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     "regions": [
      "North America",
      "Latin America",
      "Africa"
     ],
     "sectors": [
      "Consumer Staples"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": false,
     "since": null
    },
    "examples": [
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     "AB InBev",
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     "Alival",
     "Bepensa"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://native.io/products/overwatch",
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     "sectors": "stated"
    },
    "quote": "Overwatch provides a complete view of the store universe—every location, not just your footprint."
   }
  },
  {
   "id": "enerknol",
   "name": "EnerKnol",
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   "website": "https://enerknol.com",
   "category": "Public Records & Filings",
   "coverage": {
    "signals": [
     "gov"
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    "universe": {
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      "Public equities"
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      "North America",
      "Latin America",
      "Europe"
     ],
     "sectors": [
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      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": 50000000,
     "indexRefs": [],
     "tickerMapped": null,
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    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://enerknol.com/",
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     "sectors": "inferred"
    },
    "quote": "EnerKnol connects market participants to the complete universe of regulatory and legislative information with advanced AI technology."
   }
  },
  {
   "id": "cuemacro",
   "name": "Cuemacro",
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   "website": "http://www.cuemacro.com",
   "category": "News & Sentiment",
   "coverage": {
    "signals": [
     "nlp"
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    "universe": {
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      "Public equities",
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      "FX",
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     ],
     "regions": [
      "Europe"
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     "sectors": [
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      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
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      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
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     "tier": "inferred",
     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "decadata",
   "name": "DecaData",
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   "website": "https://decadata.io",
   "category": "Card & Transactions",
   "coverage": {
    "signals": [
     "txn"
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    "universe": {
     "assetClasses": [
      "Public equities"
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     "regions": [
      "North America"
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     "sectors": [
      "Consumer Staples"
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    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://decadata.io/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "DecaData is a by-product of our years' long engagements with retailers and their business intelligence teams."
   }
  },
  {
   "id": "sg2-marketpulse",
   "name": "Sg2 (MarketPulse)",
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   "website": "https://www.sg2.com",
   "category": "Healthcare & Clinical",
   "coverage": {
    "signals": [
     "bio",
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     "auto"
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    "universe": {
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      "Public equities"
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     "regions": [
      "North America"
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     "sectors": [
      "Health Care"
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     "approxCount": null,
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    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://www.sg2.com/our-solutions/who-is-in-my-market",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Our analytics platform became the industry standard by collecting the best market data and developing leading-edge tools to navigate a dynamic health care environment."
   }
  },
  {
   "id": "talismatic",
   "name": "Talismatic",
   "url": "https://altdataatlas.com/provider/talismatic",
   "website": "https://www.talismatic.com",
   "category": "Jobs & Workforce",
   "coverage": {
    "signals": [
     "job"
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    "universe": {
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      "Energy",
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      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
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     "approxCount": null,
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    },
    "examples": [],
    "provenance": {
     "tier": "inferred",
     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "ubs-evidence-lab",
   "name": "UBS Evidence Lab",
   "url": "https://altdataatlas.com/provider/ubs-evidence-lab",
   "website": "https://www.ubs.com/global/en/investment-bank/what-we-offer/ubs-evidence-lab.html",
   "category": "Weather & Agriculture",
   "coverage": {
    "signals": [
     "wx"
    ],
    "universe": {
     "assetClasses": [
      "Commodities",
      "Public equities"
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     "regions": [
      "Global"
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     "sectors": [
      "Consumer Staples",
      "Energy",
      "Utilities",
      "Materials",
      "Financials"
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     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "inferred",
     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "pipecandy",
   "name": "PipeCandy",
   "url": "https://altdataatlas.com/provider/pipecandy",
   "website": "https://pipecandy.com",
   "category": "Supply Chain & Shipping",
   "coverage": {
    "signals": [
     "sup"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Commodities"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Industrials",
      "Consumer Discretionary",
      "Materials",
      "Energy",
      "Consumer Staples"
     ],
     "approxCount": null,
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     "tickerMapped": null,
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    },
    "examples": [],
    "provenance": {
     "tier": "inferred",
     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "rook-research",
   "name": "Rook Research",
   "url": "https://altdataatlas.com/provider/rook-research",
   "website": "https://www.rookresearch.com",
   "category": "Web & Pricing Data",
   "coverage": {
    "signals": [
     "web"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "North America"
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     "sectors": [
      "Consumer Discretionary",
      "Consumer Staples",
      "Communication Services",
      "Industrials"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
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    },
    "examples": [],
    "provenance": {
     "tier": "inferred",
     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "trendeo",
   "name": "Trendeo",
   "url": "https://altdataatlas.com/provider/trendeo",
   "website": "https://www.trendeo.net",
   "category": "Jobs & Workforce",
   "coverage": {
    "signals": [
     "job"
    ],
    "universe": {
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      "Public equities"
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      "Europe"
     ],
     "sectors": [
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      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": null,
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     "tickerMapped": null,
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    },
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    "provenance": {
     "tier": "inferred",
     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "real-estate-data",
   "name": "Real Estate Data",
   "url": "https://altdataatlas.com/provider/real-estate-data",
   "website": "https://www.realestatedata.io",
   "category": "Web & Pricing Data",
   "coverage": {
    "signals": [
     "web"
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    "universe": {
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      "Public equities"
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      "North America"
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     "sectors": [
      "Consumer Discretionary",
      "Consumer Staples",
      "Communication Services",
      "Industrials"
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    },
    "examples": [],
    "provenance": {
     "tier": "inferred",
     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
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   }
  },
  {
   "id": "alternate-dns-inc",
   "name": "Alternate DNS",
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   "website": "https://www.alternate-dns.com",
   "category": "Sensors & IoT",
   "coverage": {
    "signals": [
     "iot"
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    "universe": {
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     "regions": [
      "North America"
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     "sectors": [
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      "Industrials",
      "Materials",
      "Information Technology"
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     "approxCount": null,
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    },
    "examples": [],
    "provenance": {
     "tier": "inferred",
     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "talkingdata",
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   "website": "https://talkingdata.com",
   "category": "App Usage & Downloads",
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    "signals": [
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      "Asia-Pacific"
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     "sectors": [
      "Communication Services",
      "Consumer Discretionary",
      "Information Technology",
      "Financials"
     ],
     "approxCount": 450000,
     "indexRefs": [],
     "tickerMapped": null,
     "since": 2011
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://www.talkingdata.com/agi-dataset.jsp",
     "date": "2026-09-29",
     "sectors": "inferred"
    },
    "quote": "Core data — Hundreds of billions of terminal scenario records, 450K+ mobile app scenarios, 800+ labels"
   }
  },
  {
   "id": "zhiwei-data",
   "name": "Zhiwei Data",
   "url": "https://altdataatlas.com/provider/zhiwei-data",
   "website": "https://www.zhiweidata.com",
   "category": "News & Sentiment",
   "coverage": {
    "signals": [
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    "universe": {
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     "sectors": [
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      "Consumer Discretionary",
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      "Real Estate"
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    },
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   }
  },
  {
   "id": "investing-com",
   "name": "Investing.com",
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   "website": "https://investing.com",
   "category": "News & Sentiment",
   "coverage": {
    "signals": [
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    ],
    "universe": {
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      "Fixed income",
      "FX",
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     ],
     "regions": [
      "Middle East"
     ],
     "sectors": [
      "Energy",
      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": null,
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    },
    "examples": [],
    "provenance": {
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     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "infilings",
   "name": "inFilings",
   "url": "https://altdataatlas.com/provider/infilings",
   "website": "https://www.infilings.com",
   "category": "Public Records & Filings",
   "coverage": {
    "signals": [
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    ],
    "universe": {
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     ],
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     "sectors": [
      "Energy",
      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
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      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": null,
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    },
    "examples": [],
    "provenance": {
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     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "aurora-mobile",
   "name": "Aurora Mobile",
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   "website": "https://jiguang.cn",
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   "coverage": {
    "signals": [
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    "universe": {
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      "Asia-Pacific"
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     "sectors": [
      "Communication Services"
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     "tickerMapped": null,
     "since": 2011
    },
    "examples": [
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     "Zhejiang CFMOTO Power Co., Ltd.",
     "Spring Airlines"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.jiguang.cn/en/about",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "SDKs installed on 1,786,000 apps in total, and 1.44 billion monthly active unique mobile devices"
   }
  },
  {
   "id": "nikkei",
   "name": "Nikkei",
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   "website": "https://nkbb.nikkei.co.jp/en/service/nikkei-pos",
   "category": "Card & Transactions",
   "coverage": {
    "signals": [
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     "nlp"
    ],
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     ],
     "regions": [
      "Asia-Pacific"
     ],
     "sectors": [
      "Consumer Staples"
     ],
     "approxCount": 1500,
     "indexRefs": [
      "Nikkei 225"
     ],
     "tickerMapped": null,
     "since": 1982
    },
    "examples": [
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     "Kirin",
     "Kao",
     "JT"
    ],
    "provenance": {
     "tier": "stated",
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     "sectors": "stated"
    },
    "quote": "The Nikkei POS provides daily sales results of foods and daily necessities in Japan such as LOTTE, Kirin, Kao and JT, collecting from more than 1500 retailer chains."
   }
  },
  {
   "id": "eaglealpha",
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     "sectors": [
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      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
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     "approxCount": 2500,
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    },
    "examples": [],
    "provenance": {
     "tier": "stated",
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     "sectors": "inferred"
    },
    "quote": "We help them understand a vast and growing marketplace of over 2,500 alternative data products."
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  },
  {
   "id": "extractalpha",
   "name": "ExtractAlpha",
   "url": "https://altdataatlas.com/provider/extractalpha",
   "website": "https://extractalpha.com",
   "category": "Foot Traffic & Mobility",
   "coverage": {
    "signals": [
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    "universe": {
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     "regions": [
      "North America"
     ],
     "sectors": [
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      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": 30000,
     "indexRefs": [],
     "tickerMapped": true,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://extractalpha.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Coverage of most US equities plus nearly 30K global securities"
   }
  },
  {
   "id": "rigup",
   "name": "Rigup",
   "url": "https://altdataatlas.com/provider/rigup",
   "website": "https://www.rigup.com",
   "category": "Sensors & IoT",
   "coverage": {
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     "job"
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    "universe": {
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      "North America"
     ],
     "sectors": [
      "Energy"
     ],
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     "indexRefs": [],
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     "since": 2014
    },
    "examples": [
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   "id": "spacelist",
   "name": "Spacelist",
   "url": "https://altdataatlas.com/provider/spacelist",
   "website": "https://www.spacelist.ca",
   "category": "Public Records & Filings",
   "coverage": {
    "signals": [
     "gov"
    ],
    "universe": {
     "assetClasses": [
      "Real estate"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Real Estate"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://www.spacelist.ca/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Canada's #1 Commercial Real Estate Marketplace"
   }
  },
  {
   "id": "dodge",
   "name": "Dodge Construction Network",
   "url": "https://altdataatlas.com/provider/dodge",
   "website": "https://www.construction.com",
   "category": "Public Records & Filings",
   "coverage": {
    "signals": [
     "gov"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Industrials"
     ],
     "approxCount": 700000,
     "indexRefs": [],
     "tickerMapped": null,
     "since": 1976
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://www.construction.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "70 0 K + Unique projects tracked annually 10 M + Archived plans and specifications ... 5 0 + Years of historical construction starts data"
   }
  },
  {
   "id": "ispot",
   "name": "iSpot.tv",
   "url": "https://altdataatlas.com/provider/ispot",
   "website": "https://www.ispot.tv",
   "category": "Web & Pricing Data",
   "coverage": {
    "signals": [
     "web",
     "txn"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Consumer Discretionary",
      "Consumer Staples",
      "Communication Services",
      "Industrials"
     ],
     "approxCount": 78000,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [
     "T-Mobile",
     "Balance of Nature",
     "DriveTime",
     "SimpliSafe"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.ispot.tv/",
     "date": "2026-09-29",
     "sectors": "inferred"
    },
    "quote": "iSpot measures creative effectiveness, impressions, performance and second-by-second attention of all ads leveraging a proprietary ad catalog, exclusive access to 83M smart TVs and set-top boxes and d"
   }
  },
  {
   "id": "midia-research",
   "name": "MIDiA Research",
   "url": "https://altdataatlas.com/provider/midia-research",
   "website": "https://www.midiaresearch.com",
   "category": "Web & Pricing Data",
   "coverage": {
    "signals": [
     "web",
     "xpn"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "Europe"
     ],
     "sectors": [
      "Communication Services"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://www.midiaresearch.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "We provide critical thinking and essential data for the global entertainment and creator industries"
   }
  },
  {
   "id": "teragence",
   "name": "Teragence",
   "url": "https://altdataatlas.com/provider/teragence",
   "website": "https://www.teragence.com",
   "category": "Sensors & IoT",
   "coverage": {
    "signals": [
     "iot"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Commodities"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Information Technology",
      "Communication Services"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [
     "Telraam",
     "Udlive",
     "Wavemobile",
     "Telco Data Company"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://teragence.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    }
   }
  },
  {
   "id": "kaspr-datahaus",
   "name": "KASPR Datahaus",
   "url": "https://altdataatlas.com/provider/kaspr-datahaus",
   "website": "https://kasprdata.com",
   "category": "Sensors & IoT",
   "coverage": {
    "signals": [
     "iot"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Commodities"
     ],
     "regions": [
      "Global"
     ],
     "sectors": [
      "Communication Services"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": 2019
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://www.kasprdata.com/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "We continuously monitor over 400 million endpoints across 130+ countries, turning the complexity of the global internet into actionable intelligence"
   }
  },
  {
   "id": "pass-by",
   "name": "pass_by",
   "url": "https://altdataatlas.com/provider/pass-by",
   "website": "https://passby.com",
   "category": "Foot Traffic & Mobility",
   "coverage": {
    "signals": [
     "geo",
     "txn"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Real estate"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Consumer Discretionary",
      "Consumer Staples"
     ],
     "approxCount": 100,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [
     "Target",
     "Walmart",
     "Home Depot",
     "Lowe's",
     "Best Buy",
     "Kroger",
     "Trader Joe's",
     "Aldi US",
     "Dollar General",
     "Dollar Tree",
     "CVS",
     "Walgreens",
     "Nike",
     "Ulta Beauty",
     "Sephora US",
     "Macy's",
     "Kohl's",
     "TJ Maxx",
     "Starbucks",
     "McDonald's"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://passby.com/our-data/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "Join 100+ retail brands leveraging PassBy data to make smarter decisions."
   }
  },
  {
   "id": "earlysigns",
   "name": "EarlySigns",
   "url": "https://altdataatlas.com/provider/earlysigns",
   "website": "https://earlysigns.io",
   "category": "Jobs & Workforce",
   "coverage": {
    "signals": [
     "job"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "North America",
      "Europe"
     ],
     "sectors": [
      "Information Technology"
     ],
     "approxCount": 65,
     "indexRefs": [],
     "tickerMapped": true,
     "since": 2020
    },
    "examples": [
     "Snowflake",
     "Datadog",
     "CrowdStrike",
     "Salesforce",
     "ServiceNow",
     "Workday",
     "Dynatrace",
     "New Relic",
     "Palo Alto Networks",
     "Zscaler",
     "Databricks",
     "Wiz",
     "Stripe"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://earlysigns.io/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "EarlySigns structures those signals into daily, point-in-time data covering 65 publicly traded Enterprise SaaS tickers and 25 private and pre-IPO names"
   }
  },
  {
   "id": "databurning",
   "name": "DataBurning",
   "url": "https://altdataatlas.com/provider/databurning",
   "website": "https://www.databurning.com",
   "category": "Card & Transactions",
   "coverage": {
    "signals": [
     "txn",
     "rct"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "Asia-Pacific",
      "Europe",
      "North America"
     ],
     "sectors": [
      "Consumer Discretionary",
      "Consumer Staples",
      "Communication Services",
      "Financials"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [
     "DECK",
     "HOKA",
     "拼多多",
     "TEMU",
     "携程"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://www.databurning.com/",
     "date": "2026-09-29",
     "sectors": "inferred"
    },
    "quote": "涉及线上消费、线下消费、餐饮、酒店/旅游、外卖/新零售、娱乐、房地产、招聘、教育、交运和汽车等场景的150+数据源"
   }
  },
  {
   "id": "bigone-lab",
   "name": "BigOne Lab",
   "url": "https://altdataatlas.com/provider/bigone-lab",
   "website": "https://www.bigonelab.com",
   "category": "Card & Transactions",
   "coverage": {
    "signals": [
     "txn",
     "xpn",
     "nlp",
     "job"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "Asia-Pacific"
     ],
     "sectors": [
      "Consumer Discretionary",
      "Consumer Staples",
      "Communication Services",
      "Financials"
     ],
     "approxCount": 200000,
     "indexRefs": [],
     "tickerMapped": null,
     "since": 2016
    },
    "examples": [],
    "provenance": {
     "tier": "stated",
     "source": "https://www.bigonelab.com/",
     "date": "2026-09-29",
     "sectors": "inferred"
    },
    "quote": "Our data solutions currently cover more than 10 industries and 200,000+ businesses, spanning hundreds of business metrics."
   }
  },
  {
   "id": "stronglight",
   "name": "StrongLight",
   "url": "https://altdataatlas.com/provider/stronglight",
   "website": "https://stronglight.io",
   "category": "News & Sentiment",
   "coverage": {
    "signals": [
     "nlp"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Fixed income",
      "FX",
      "Commodities"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Energy",
      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [],
    "provenance": {
     "tier": "inferred",
     "source": "editorial category→sector table v1",
     "date": "2026-09-29"
    }
   }
  },
  {
   "id": "scanverity",
   "name": "Scanverity",
   "url": "https://altdataatlas.com/provider/scanverity",
   "website": "https://scanverity.com",
   "category": "Estimates, Events & Fund Flows",
   "coverage": {
    "signals": [
     "est",
     "web",
     "cry"
    ],
    "universe": {
     "assetClasses": [
      "Public equities",
      "Fixed income",
      "Funds"
     ],
     "regions": [
      "Europe"
     ],
     "sectors": [
      "Energy",
      "Materials",
      "Industrials",
      "Consumer Discretionary",
      "Consumer Staples",
      "Health Care",
      "Financials",
      "Information Technology",
      "Communication Services",
      "Utilities",
      "Real Estate"
     ],
     "approxCount": 190877,
     "indexRefs": [],
     "tickerMapped": null,
     "since": null
    },
    "examples": [
     "Shakhtar Donetsk",
     "Anthropic",
     "OpenAI"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://scanverity.com/en/",
     "date": "2026-09-29",
     "sectors": "inferred"
    },
    "quote": "Strict instantaneous depth for the 190,877 markets the canonical plane indexes"
   }
  },
  {
   "id": "insiderfilings",
   "name": "InsiderFilings.info",
   "url": "https://altdataatlas.com/provider/insiderfilings",
   "website": "https://insiderfilings.info",
   "category": "Public Records & Filings",
   "coverage": {
    "signals": [
     "gov",
     "txn"
    ],
    "universe": {
     "assetClasses": [
      "Public equities"
     ],
     "regions": [
      "North America"
     ],
     "sectors": [
      "Health Care",
      "Financials"
     ],
     "approxCount": null,
     "indexRefs": [],
     "tickerMapped": true,
     "since": null
    },
    "examples": [
     "Ardent Health, Inc.",
     "QNB Corp.",
     "Aberdeen Municipal Income Fund",
     "Aberdeen Multi-Market Income Fund",
     "Aberdeen Intermediate Income Fund",
     "Aberdeen Government Markets Income Fund"
    ],
    "provenance": {
     "tier": "stated",
     "source": "https://insiderfilings.info/",
     "date": "2026-09-29",
     "sectors": "stated"
    },
    "quote": "InsiderFilings.info is a searchable database of SEC Forms 3, 4 and 5 that structures insider transactions, ownership information and filing context."
   }
  }
 ]
}