Stock Research API for AI-Assisted Analysis
ApiFinance AI helps teams move from a stock idea to a grounded research workflow with company profiles, quotes, statements, price history, and filing metadata in one product surface.
What a stock research API should replace
A serious research workflow should not depend on copying values across tabs, scattered prompts, and inconsistent vendors.
Fragmented workflow
- Different sources for quote, statements, and filings.
- Manual prompt assembly for every new stock idea.
- No stable path from initial screen to repeatable memo.
Structured workflow
- One response layer for search, quote, price, statements, and filings.
- Grounded JSON that an AI model can reason over without scraping glue.
- A cleaner path into reusable templates, watchlists, and monitoring flows.
Typical research outputs
The point is to produce something a user can act on, not just expose raw fields.
Outputs that matter
- quality and valuation comparisons
- trend tables across revenue, EPS, margins, and free cash flow
- latest filing links for deeper follow-up
- watchlist-ready summaries for teams or agents
Example research prompt
Pull Apple profile data, quote snapshot, five annual income statements,
five annual cash flow statements, and the latest major filing metadata.
Return a concise research memo plus the next risks and questions to investigate.