Who is StockFit API for?

using it in your favorite AI Tools and others exploring apis & integrations.

How is StockFit API priced?

StockFit API is freemium — free tier with paid upgrades. Visit the official website for plan details, limits, and billing options.

How does StockFit API compare to alternatives?

StockFit API focuses on access company financials, ownership, etf/mf exposure, insider trades, filings, recenue segmentation, peers,.... Other apis & integrations tools may emphasize different workflows, integrations, or pricing models. Compare freemium — free tier with paid upgrades, supported platforms (api), and whether the product fits your specific use case before choosing.

Bluesky

Access company financials, ownership, ETF/MF exposure, insider trades, filings, recenue segmentation, peers, executive officers, and much more! All structured directly from SEC XBRL. 250+ million facts, 6+ million filings. No adjusted metrics and everything fully traceable.

Everything is updated daily. Free tier, no credit card.

REST API + MCP server for using it in your favorite AI Tools. StockFit API is built for investors, quant developers, and research platforms that want to go straight to the facts without draining their pockets.

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.

What you can build


See what ETFs actually own under the hood	Look through ETF holdings, detect overlap, and understand true exposure across funds.
Map institutional ownership in real time	Track what top 13F filers own, how positions changed, and where capital is concentrating or exiting.
Track the IPO pipeline from filings, not headlines	Monitor S-1 activity, offering terms, 8-K events, and predicted filing calendars directly from SEC data.
Screen by business model, not just ratios	Filter companies by AI-classified business model, pricing power, capital intensity, and margin structure.
Compare any two companies side by side	Pull normalized financials, peers, and ownership for AAPL vs MSFT in parallel. No joins needed.
Build LLM apps on structured SEC data	Feed normalized financials, business models, and filing-derived insights into AI systems without preprocessing.

More use cases

Predict earnings before they're announced. Combine filing calendars, margin trends, and quality signals to anticipate earnings setups.
Detect insider behavior that actually matters. Flag executive-level buys, cluster activity, and unusual trading patterns.
Run due diligence directly from filings. Surface governance risks, ownership structures, and filing inconsistencies without manual parsing.

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?