StockFit API

Structured SEC Data API for Developers

Fintech

Analytics

Investing

For years I kept hitting the same wall: every time I started a side project that needed real financial data, I'd burn 80% of my time just parsing SEC filings - and never get to the actual idea. The weird truth is that most "premium" financial data sitting behind $500–$2,000/month paywalls is actually already public on SEC's EDGAR. Every 10-K, 10-Q, 13F, insider Form 4, and proxy statement is there, for free. The catch is that EDGAR is almost aggressively hostile to practical use. XBRL filings are tagged inconsistently across filers, formats drift between fiscal years, Q4 isn't even reported as a standalone period (you have to derive it from the 10-K and the 9-month Q3 figures), and the same financial concept can map to half a dozen different tags depending on who filed. Every fintech dev I know has written, and thrown away, their own EDGAR parser at least once. StockFit API is what I wished existed instead. It ingests EDGAR daily through a real XBRL pipeline (Arelle under the hood), reconstructs missing periods, normalizes thousands of raw concepts into a curated schema, and hands you clean JSON. Financial statements, ownership, insider transactions, ETF holdings, 13F institutional holdings, executive comp - all from one REST API with proper OpenAPI docs and an MCP server for LLM agents. The free tier is generous enough to test the product. My goal is simple: institutional-grade SEC data, accessible for everyone. No scraping, no XBRL rabbit holes, no $2k/month minimums. Built entirely solo over the past year. Would love honest feedback on the API shape, the docs, and what you'd want to see next. What's the first thing you'd build with it?