Bigdata.com is the AI grounding layer for finance, bringing cited financial research directly into ChatGPT. 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, with every answer grounded in real, citable sources instead of guesses.
Search billions of documents spanning 25+ years, including 10M+ new public news documents monthly, 200+ premium news sources such as Financial Times, Benzinga, MT Newswires, CNBC and more, filings across 50+ countries, 30+ years of fundamentals, expert interviews, and podcasts. RavenPack's financial knowledge graph resolves company and entity names automatically, so one plain-language question surfaces the right filings, transcripts, news, and data. No manual ticker matching, fabricated numbers, or invented quotes.
Beyond public content, upload and search your own private documents, including notes, internal research, artifacts, and files, alongside public filings and market data, so proprietary research and public sources can be used together in the same query.
Built for anyone making a financial decision, from individual investors researching a stock or tracking their portfolio to analysts at hedge funds, asset managers, and investment banks. Run an initiation report, compare two 10-Ks, prep a pre-earnings or pre-FOMC briefing, track a competitor, catch a sentiment shift before consensus does, or build a sourced brief before a call, all from one grounded search.
Connect in seconds. No setup, no code. You're searching cited financial data from your first prompt.
How to use
- 1Add it in ChatGPT
Open Bigdata.com in ChatGPT's Plugin directory (button above), select + to add it and sign in if asked.
- 2Use it in a chat
Type @ in the composer and pick Bigdata.com, or start your message with its name. ChatGPT may also suggest it when it fits what you ask.
Skills 15
- Bigdata Earnings Preview
Create cited, forward-looking earnings previews
- Bigdata Catalyst Monitor
Map upcoming catalysts and watch points
- Bigdata Company Brief
Generate cited 30-day company development briefs
- Bigdata Country Analysis
Produce a deep country economic analysis
- Bigdata Country-Sector Analysis
Analyze a sector within a specific country
- Bigdata Cross-Sector Comparison
Compare sectors and call rotation
- Bigdata Earnings Digest
Analyze reported earnings with cited breakdowns
- Bigdata Earnings Quality Screen
Screen reported earnings for accounting red flags
- Bigdata Earnings Reaction
Write a post-earnings reaction note against a thesis
- Bigdata G7 Comparison
Benchmark the G7 economies side by side
- Bigdata Investment Memo
Write a full institutional investment memo
- Bigdata Moat & Governance Review
Assess moat durability and management quality
- Bigdata Peer Comparables
Compare a company against its peer set
- Bigdata Post-IPO Day 1
Analyze a first-trading-day IPO debut
- Bigdata Post-IPO Day 14
Assess NASDAQ-100 fast-track inclusion impact
Things to ask
- “Could you give me the latest financial news for NVIDIA?”
- “Analyze potential risks and stock projections for TSLA”
- “Could you analyze the 2026 outlook for the S&P 500?”