Finance research, news & data
Bigdata.com is the AI grounding layer for finance, bringing cited financial research directly into your AI. Research stocks and companies, follow the latest news on your portfolio, and query market data, fundamentals, SEC filings, earnings call transcripts, broker and analyst research, sentiment signals, and premium news using real, citable sources. More
What you can ask Research NVIDIA's latest earnings using filings, transcripts, news, and company financials. Copy
Example path search → company_tearsheet Bigdata Earnings Preview skill
Compare the valuation, growth, and sentiment of Microsoft, Amazon, and Alphabet. Show upcoming earnings and economic events that could affect my watchlist. MCP connector Server URL https://mcp.bigdata.comCopy Login OAuth Tools Reads data15 company_ country_ etf_ events_ get_ help market_ portfolio_ screen_ sentiment_ watchlist_ fetch find_ get_ search
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Skills 28 in the ChatGPT listing
Bigdata.com Research Research any company, security, sector, country, market or economy with Bigdata.com data, and turn a research task the user repeats into a skill of their own. Bigdata Catalyst Monitor Map the dated events that could move a public company over the next few quarters, using Bigdata.com data (events calendar, filings, news, tearsheet). Bigdata Company Brief Generate a company brief — a cited 30-day summary of what happened at a public company and why it matters — using Bigdata.com data (news, filings, transcripts, tearsheet financials). Bigdata Country Analysis Produce a deep country economic analysis using Bigdata.com data — GDP, inflation, monetary policy, labor markets, debt mechanics, and investment implications. Bigdata Country-Sector Analysis Analyze a specific sector inside a specific country or region using Bigdata.com data — combining the macroeconomic backdrop (GDP, inflation, rates, policy), country-specific sector trends and valuations, fundamentals of country-domiciled sector leaders confirmed by geographic revenue exposure, the policy and regulatory environment including subsidies, tariffs and foreign-investment rules, and valuation versus global sector peers. Bigdata Cross-Sector Comparison Compare two or more sectors using Bigdata.com data — relative valuations, earnings growth, analyst sentiment, and where each sits in the economic cycle — and turn that into a rotation call with overweight and underweight recommendations. Bigdata Earnings Digest Analyze a public company's latest reported earnings — a cited post-print digest using Bigdata.com data (results, consensus and surprise, transcript, analyst reactions, tearsheet financials). Bigdata Earnings Preview Create a forward-looking earnings preview for a public company ahead of its next earnings call, using Bigdata.com data (estimates, tearsheet financials, news, filings, transcripts, events calendar). Bigdata Earnings Quality Screen Screen a public company's reported earnings for quality and accounting red flags using Bigdata.com data and filings. Bigdata Earnings Reaction Write a tight post-earnings reaction note using Bigdata.com data — headline numbers versus consensus with beat/miss magnitude, what mattered on both sides, a prior-versus-new guidance table, an explicit thesis check (Intact / Strengthened / Weakened / Broken) with evidence, the estimate and price-target revisions the print forces, a pre-versus-post valuation update, quality signals for the quarter, and an action with the next key date. Bigdata G7 Comparison Benchmark the seven G7 economies side by side using Bigdata.com data — the United States, Japan, Germany, the United Kingdom, France, Italy, and Canada. Bigdata Investment Memo Write a full institutional investment memo on a public company using Bigdata.com data — thesis, variant perception versus consensus, valuation, risks, catalysts, and an explicit recommendation with conviction. Bigdata Moat & Governance Review Assess how durable a public company's competitive advantage is and whether management can be trusted with the capital, using Bigdata.com data. Bigdata Peer Comparables Compare a public company against its peer set using Bigdata.com data — valuation multiples, growth, profitability, returns, leverage, and sentiment — to judge relative attractiveness. Bigdata Post-IPO Day 1 Write a first-trading-day post-IPO reaction note for a newly listed company using Bigdata.com data plus web market data. Bigdata Post-IPO Day 14 Write a day-14 post-IPO note on potential NASDAQ-100 fast-track index inclusion for a recently listed large-cap, using Bigdata.com data plus web search for index methodology and market data. Bigdata Post-IPO Day 179 Write a day-179 post-IPO note on the 180-day lock-up expiry using Bigdata.com data plus filings and market data. Bigdata Post-IPO Day 365 Write a day-365 post-IPO note on the 366-day founder and significant-investor lock-up expiry and float expansion toward 15-20%, using Bigdata.com data plus filings and market data. Bigdata Pre-IPO Analysis Produce a balanced pre-IPO research note on an upcoming, not-yet-listed company using its S-1/F-1 plus Bigdata.com data. Bigdata Quick Take Give a fast, PM-style quick take on a stock using Bigdata.com data — a one-line current view, the 2-3 drivers that actually matter right now, the key risks and what would change the view, and the near-term setup with the next catalyst. Bigdata Regional Comparison Compare regions or blocs using Bigdata.com data — economic indicators, market performance, and cross-asset views — and turn that into an allocation recommendation. Bigdata Risk Assessment Produce a comprehensive risk assessment for a public company using Bigdata.com data (10-K risk factors, 8-K material events, news, tearsheet financials). Bigdata Scenario Analysis Build bull, base, and bear cases for a public company using Bigdata.com data — with explicit line-item assumptions, justified probability weights summing to 100%, a value or price per scenario with the bridge shown, a probability-weighted expected value and expected return versus spot, the upside/downside skew and risk-reward ratio, and what would move probability between the cases. Bigdata Sector Analysis Analyze a market sector using Bigdata.com data — performance, valuations, themes, sub-industries, and upcoming catalysts. Bigdata Sector Playbook Build an actionable investment playbook for a sector using Bigdata.com data and sector-specific frameworks — the KPIs that actually matter in that sector, how to value companies in it and why, the live debates and where consensus sits on each, valuation context against the sector's own history, a sub-industry map with cycle position, screening criteria and sector-specific red flags, and an actionable setup of what to own, avoid, and watch. Bigdata Thematic Research Research a macro investment theme using Bigdata.com data — scope and sub-themes, investment implications, sector impact, named beneficiaries and vulnerable losers with tearsheet fundamentals, the policy and regulatory dimension, geographic impact, and concrete implementation ideas. Bigdata Valuation Snapshot Answer what a public company is worth and whether it is cheap or expensive, using Bigdata.com data (tearsheet multiples, estimates, margins, peer context). Bigdata Variant Perception State explicitly where your view on a public company differs from consensus, using Bigdata.com data. 
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S&P - Deterministic Retrieval#75