{ "signal": { "id": "est", "slug": "estimates-events-flows", "name": "Estimates, Events & Fund Flows" }, "sector": "Energy", "sectorSlug": "energy", "title": "Estimates, Events & Fund Flows data providers for Energy", "counts": { "providers": 25, "inferred": 16, "stated": 9, "confirmed": 0 }, "note": "Providers whose recorded universe includes this sector for this signal type. tier is the provider's tier for this cell: stated/confirmed only when the provider's own words support the sector, otherwise inferred (likely, unconfirmed). An empty or short list means 'not in the register', never 'no such data exists'. Not a ranking.", "links": { "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" }, "asOf": "2026-09-29", "license": { "name": "AltData Atlas Data Licence v1", "url": "https://altdataatlas.com/agents#licence" }, "citation": "AltData Atlas, Estimates, Events & Fund Flows data providers for Energy (https://altdataatlas.com/coverage/estimates-events-flows/energy), as of 2026-09-29. AltData Atlas Data Licence v1.", "providers": [ { "id": "two-iq", "name": "2iQ Research", "category": "public-records", "description": "Insider-transaction and director-dealing data globally.", "historySince": 2003, "delivery": [ "Feed", "API" ], "priceBand": "mid", "hasSample": false, "verified": true, "tier": "stated", "sectorsProvenance": "stated", "signals": [ "public-records", "card-transactions", "estimates-events-flows" ], "sectors": [ "Energy", "Materials", "Industrials", "Consumer Discretionary", "Consumer Staples", "Health Care", "Financials", "Information Technology", "Communication Services", "Utilities", "Real Estate" ], "regions": [ "Global" ], "approxCount": 60000, "tickerMapped": true, "coverageSince": null, "json": "https://altdataatlas.com/api/providers/two-iq.json", "cellTier": "stated" }, { "id": "alexandria", "name": "Alexandria Technology", "category": "news-sentiment", "description": "Sentiment analysis using machine learning over news and filings for 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