{
 "id": "est",
 "slug": "estimates-events-flows",
 "code": "EST",
 "roman": "XX",
 "name": "Estimates, Events & Fund Flows",
 "definition": "Estimates, events, and fund-flow data is market metadata: analyst consensus, corporate-event and dividend calendars, and records of money moving in and out of funds.",
 "primer": "This category covers the forward-looking scaffolding of the market: consensus earnings and revenue estimates, calendars of corporate events such as earnings dates, dividends, splits, and conferences, and measurements of where money is actually flowing between funds and asset classes. Providers assemble these from analyst contributions, corporate-actions databases, and fund-level reporting, then clean and standardise them so they line up cleanly against tickers. Alongside the datasets sit the data marketplaces that aggregate and redistribute non-market financial and economic series.\n\nInvestors use consensus estimates to define what the market already expects and to measure surprise; they use event calendars to schedule research and manage exposure around catalysts; and they use fund-flow data to read sentiment and positioning across regions and sectors. A dividend-forecast feed, for instance, lets an income investor model two fiscal years of expected payments, while a fund-flow series can flag a rotation out of an asset class before prices fully reflect it.\n\nKey buyer considerations are the breadth and timeliness of contributor or fund coverage, the depth of point-in-time history needed to back-test without look-ahead bias, and the accuracy of corporate-event dates. For marketplace data, the questions shift to licensing terms, provenance, and how cleanly third-party series are documented and maintained.",
 "typicalUniverse": "Broad listed universes — consensus estimates, corporate-event calendars and fund flows are sector-agnostic and typically span global developed-market equities.",
 "counts": {
  "providers": 10,
  "verified": 10,
  "withSample": 1
 },
 "links": {
  "html": "https://altdataatlas.com/category/estimates-events-flows",
  "markdown": "https://altdataatlas.com/category/estimates-events-flows.md",
  "json": "https://altdataatlas.com/api/categories/estimates-events-flows.json"
 },
 "coverage": [
  {
   "sector": "Energy",
   "providers": 25,
   "stated": 9,
   "html": "https://altdataatlas.com/coverage/estimates-events-flows/energy",
   "markdown": "https://altdataatlas.com/coverage/estimates-events-flows/energy.md",
   "json": "https://altdataatlas.com/api/coverage/estimates-events-flows/energy.json"
  },
  {
   "sector": "Materials",
   "providers": 25,
   "stated": 9,
   "html": "https://altdataatlas.com/coverage/estimates-events-flows/materials",
   "markdown": "https://altdataatlas.com/coverage/estimates-events-flows/materials.md",
   "json": "https://altdataatlas.com/api/coverage/estimates-events-flows/materials.json"
  },
  {
   "sector": "Industrials",
   "providers": 25,
   "stated": 10,
   "html": "https://altdataatlas.com/coverage/estimates-events-flows/industrials",
   "markdown": "https://altdataatlas.com/coverage/estimates-events-flows/industrials.md",
   "json": "https://altdataatlas.com/api/coverage/estimates-events-flows/industrials.json"
  },
  {
   "sector": "Consumer Discretionary",
   "providers": 28,
   "stated": 12,
   "html": "https://altdataatlas.com/coverage/estimates-events-flows/consumer-discretionary",
   "markdown": "https://altdataatlas.com/coverage/estimates-events-flows/consumer-discretionary.md",
   "json": "https://altdataatlas.com/api/coverage/estimates-events-flows/consumer-discretionary.json"
  },
  {
   "sector": "Consumer Staples",
   "providers": 27,
   "stated": 10,
   "html": "https://altdataatlas.com/coverage/estimates-events-flows/consumer-staples",
   "markdown": "https://altdataatlas.com/coverage/estimates-events-flows/consumer-staples.md",
   "json": "https://altdataatlas.com/api/coverage/estimates-events-flows/consumer-staples.json"
  },
  {
   "sector": "Health Care",
   "providers": 25,
   "stated": 12,
   "html": "https://altdataatlas.com/coverage/estimates-events-flows/health-care",
   "markdown": "https://altdataatlas.com/coverage/estimates-events-flows/health-care.md",
   "json": "https://altdataatlas.com/api/coverage/estimates-events-flows/health-care.json"
  },
  {
   "sector": "Financials",
   "providers": 25,
   "stated": 10,
   "html": "https://altdataatlas.com/coverage/estimates-events-flows/financials",
   "markdown": "https://altdataatlas.com/coverage/estimates-events-flows/financials.md",
   "json": "https://altdataatlas.com/api/coverage/estimates-events-flows/financials.json"
  },
  {
   "sector": "Information Technology",
   "providers": 26,
   "stated": 13,
   "html": "https://altdataatlas.com/coverage/estimates-events-flows/information-technology",
   "markdown": "https://altdataatlas.com/coverage/estimates-events-flows/information-technology.md",
   "json": "https://altdataatlas.com/api/coverage/estimates-events-flows/information-technology.json"
  },
  {
   "sector": "Communication Services",
   "providers": 26,
   "stated": 12,
   "html": "https://altdataatlas.com/coverage/estimates-events-flows/communication-services",
   "markdown": "https://altdataatlas.com/coverage/estimates-events-flows/communication-services.md",
   "json": "https://altdataatlas.com/api/coverage/estimates-events-flows/communication-services.json"
  },
  {
   "sector": "Utilities",
   "providers": 26,
   "stated": 10,
   "html": "https://altdataatlas.com/coverage/estimates-events-flows/utilities",
   "markdown": "https://altdataatlas.com/coverage/estimates-events-flows/utilities.md",
   "json": "https://altdataatlas.com/api/coverage/estimates-events-flows/utilities.json"
  },
  {
   "sector": "Real Estate",
   "providers": 26,
   "stated": 11,
   "html": "https://altdataatlas.com/coverage/estimates-events-flows/real-estate",
   "markdown": "https://altdataatlas.com/coverage/estimates-events-flows/real-estate.md",
   "json": "https://altdataatlas.com/api/coverage/estimates-events-flows/real-estate.json"
  }
 ],
 "asOf": {
  "register": "2026-09-24",
  "coverage": "2026-09-29",
  "latest": "2026-09-29"
 },
 "license": {
  "name": "AltData Atlas Data Licence v1",
  "url": "https://altdataatlas.com/agents#licence"
 },
 "citation": "AltData Atlas, Estimates, Events & Fund Flows (https://altdataatlas.com/category/estimates-events-flows), as of 2026-09-24. AltData Atlas Data Licence v1.",
 "providers": [
  {
   "id": "accrue",
   "name": "Accrue",
   "category": "estimates-events-flows",
   "description": "Forward-looking global event calendar and historical event database, marketed as a digital almanac for event-driven investors.",
   "historySince": 2016,
   "delivery": [],
   "priceBand": "unknown",
   "hasSample": false,
   "verified": true,
   "tier": "inferred",
   "sectorsProvenance": "inferred",
   "signals": [
    "estimates-events-flows"
   ],
   "sectors": [
    "Energy",
    "Materials",
    "Industrials",
    "Consumer Discretionary",
    "Consumer Staples",
    "Health Care",
    "Financials",
    "Information Technology",
    "Communication Services",
    "Utilities",
    "Real Estate"
   ],
   "regions": [
    "Europe"
   ],
   "approxCount": null,
   "tickerMapped": null,
   "coverageSince": null,
   "json": "https://altdataatlas.com/api/providers/accrue.json"
  },
  {
   "id": "datayes",
   "name": "DataYes",
   "category": "estimates-events-flows",
   "description": "Chinese investment-research platform with an open data marketplace covering fundamental and quantitative datasets for institutional users.",
   "historySince": 2013,
   "delivery": [],
   "priceBand": "unknown",
   "hasSample": false,
   "verified": true,
   "tier": "inferred",
   "sectorsProvenance": "inferred",
   "signals": [
    "estimates-events-flows"
   ],
   "sectors": [
    "Energy",
    "Materials",
    "Industrials",
    "Consumer Discretionary",
    "Consumer Staples",
    "Health Care",
    "Financials",
    "Information Technology",
    "Communication Services",
    "Utilities",
    "Real Estate"
   ],
   "regions": [
    "Asia-Pacific"
   ],
   "approxCount": null,
   "tickerMapped": null,
   "coverageSince": null,
   "json": "https://altdataatlas.com/api/providers/datayes.json"
  },
  {
   "id": "epfr",
   "name": "EPFR",
   "category": "estimates-events-flows",
   "description": "Daily and weekly fund-flows and asset-allocation data tracking traditional and alternative funds worldwide; part of ISI Markets.",
   "historySince": 1995,
   "delivery": [],
   "priceBand": "unknown",
   "hasSample": false,
   "verified": true,
   "tier": "inferred",
   "sectorsProvenance": "inferred",
   "signals": [
    "estimates-events-flows"
   ],
   "sectors": [
    "Energy",
    "Materials",
    "Industrials",
    "Consumer Discretionary",
    "Consumer Staples",
    "Health Care",
    "Financials",
    "Information Technology",
    "Communication Services",
    "Utilities",
    "Real Estate"
   ],
   "regions": [
    "North America"
   ],
   "approxCount": null,
   "tickerMapped": null,
   "coverageSince": null,
   "json": "https://altdataatlas.com/api/providers/epfr.json"
  },
  {
   "id": "estimize",
   "name": "Estimize",
   "category": "estimates-events-flows",
   "description": "Crowdsourced consensus earnings and revenue estimates contributed by buy-side, sell-side, and independent analysts.",
   "historySince": 2011,
   "delivery": [],
   "priceBand": "unknown",
   "hasSample": false,
   "verified": true,
   "tier": "inferred",
   "sectorsProvenance": "inferred",
   "signals": [
    "estimates-events-flows"
   ],
   "sectors": [
    "Energy",
    "Materials",
    "Industrials",
    "Consumer Discretionary",
    "Consumer Staples",
    "Health Care",
    "Financials",
    "Information Technology",
    "Communication Services",
    "Utilities",
    "Real Estate"
   ],
   "regions": [
    "North America"
   ],
   "approxCount": null,
   "tickerMapped": null,
   "coverageSince": null,
   "json": "https://altdataatlas.com/api/providers/estimize.json"
  },
  {
   "id": "exante-data",
   "name": "Exante Data",
   "category": "estimates-events-flows",
   "description": "Macro data and analytics on cross-border capital flows, FX, and global liquidity for macro-focused investors.",
   "historySince": 2016,
   "delivery": [],
   "priceBand": "unknown",
   "hasSample": false,
   "verified": true,
   "tier": "inferred",
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   "signals": [
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   "sectors": [
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    "Materials",
    "Industrials",
    "Consumer Discretionary",
    "Consumer Staples",
    "Health Care",
    "Financials",
    "Information Technology",
    "Communication Services",
    "Utilities",
    "Real Estate"
   ],
   "regions": [
    "North America"
   ],
   "approxCount": null,
   "tickerMapped": null,
   "coverageSince": null,
   "json": "https://altdataatlas.com/api/providers/exante-data.json"
  },
  {
   "id": "nasdaq-data-link",
   "name": "Nasdaq Data Link",
   "category": "estimates-events-flows",
   "description": "Data marketplace, formerly Quandl, distributing financial, economic, and alternative datasets from many publishers through a single API.",
   "historySince": 2012,
   "delivery": [
    "API"
   ],
   "priceBand": "unknown",
   "hasSample": false,
   "verified": true,
   "tier": "inferred",
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   "signals": [
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   ],
   "sectors": [
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    "Materials",
    "Industrials",
    "Consumer Discretionary",
    "Consumer Staples",
    "Health Care",
    "Financials",
    "Information Technology",
    "Communication Services",
    "Utilities",
    "Real Estate"
   ],
   "regions": [
    "North America"
   ],
   "approxCount": null,
   "tickerMapped": null,
   "coverageSince": null,
   "json": "https://altdataatlas.com/api/providers/nasdaq-data-link.json"
  },
  {
   "id": "quick-corp",
   "name": "QUICK Corp",
   "category": "estimates-events-flows",
   "description": "Japanese financial information company, a Nikkei group member, providing QUICK Consensus estimates and market data with deep coverage of Japanese equities.",
   "historySince": 1971,
   "delivery": [],
   "priceBand": "unknown",
   "hasSample": false,
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    "Materials",
    "Industrials",
    "Consumer Discretionary",
    "Consumer Staples",
    "Health Care",
    "Financials",
    "Information Technology",
    "Communication Services",
    "Utilities",
    "Real Estate"
   ],
   "regions": [
    "Asia-Pacific",
    "Global"
   ],
   "approxCount": 76000,
   "tickerMapped": null,
   "coverageSince": null,
   "json": "https://altdataatlas.com/api/providers/quick-corp.json"
  },
  {
   "id": "scanverity",
   "name": "Scanverity",
   "category": "estimates-events-flows",
   "description": "Resolution-risk intelligence on Polymarket prediction markets: market rules, named resolution sources and dispute evidence tied to timestamped observations, with evidence-freshness reporting and executable order-book depth. Read-only; Polymarket is the only venue covered. Team workspace plus an API in private beta.",
   "historySince": null,
   "delivery": [
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    "Dashboard"
   ],
   "priceBand": "startup",
   "hasSample": true,
   "verified": true,
   "tier": "stated",
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   "signals": [
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    "web-pricing",
    "crypto-onchain"
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   "sectors": [
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    "Materials",
    "Industrials",
    "Consumer Discretionary",
    "Consumer Staples",
    "Health Care",
    "Financials",
    "Information Technology",
    "Communication Services",
    "Utilities",
    "Real Estate"
   ],
   "regions": [
    "Europe"
   ],
   "approxCount": 190877,
   "tickerMapped": null,
   "coverageSince": null,
   "json": "https://altdataatlas.com/api/providers/scanverity.json"
  },
  {
   "id": "wall-street-horizon",
   "name": "Wall Street Horizon",
   "category": "estimates-events-flows",
   "description": "Forward-looking and historical corporate-event data, including earnings dates, dividends, splits, spin-offs, and investor conferences.",
   "historySince": 2003,
   "delivery": [],
   "priceBand": "unknown",
   "hasSample": false,
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   "signals": [
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    "Materials",
    "Industrials",
    "Consumer Discretionary",
    "Consumer Staples",
    "Health Care",
    "Financials",
    "Information Technology",
    "Communication Services",
    "Utilities",
    "Real Estate"
   ],
   "regions": [
    "Global",
    "North America"
   ],
   "approxCount": 11000,
   "tickerMapped": true,
   "coverageSince": null,
   "json": "https://altdataatlas.com/api/providers/wall-street-horizon.json"
  },
  {
   "id": "woodseer",
   "name": "Woodseer",
   "category": "estimates-events-flows",
   "description": "Dividend forecast data covering dates and amounts for tens of thousands of securities, combining an algorithm with analyst review; now part of OptionMetrics.",
   "historySince": 2017,
   "delivery": [],
   "priceBand": "unknown",
   "hasSample": false,
   "verified": true,
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   "signals": [
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   ],
   "sectors": [
    "Energy",
    "Materials",
    "Industrials",
    "Consumer Discretionary",
    "Consumer Staples",
    "Health Care",
    "Financials",
    "Information Technology",
    "Communication Services",
    "Utilities",
    "Real Estate"
   ],
   "regions": [
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   ],
   "approxCount": null,
   "tickerMapped": true,
   "coverageSince": 2011,
   "json": "https://altdataatlas.com/api/providers/woodseer.json"
  }
 ]
}