Add "StockFit API" API

[andyreimann]

Format: openapi
Official: true
Url: https://api.stockfit.io/docs/openapi.json
Name: StockFit API
Category: financial
Logo: https://developer.stockfit.io/stockfit_logo.png

[andyreimann]

Details about this newly launched API can be found here:
Developer Portal
Documentation

[andyreimann]

Submitting StockFit API for inclusion in the APIs.guru directory.

Basic info

Name: StockFit API
Provider: stockfit.io
OpenAPI spec: https://api.stockfit.io/docs/openapi.json
Docs: https://developer.stockfit.io
Logo: https://developer.stockfit.io/logo.svg

What it is

REST API for structured SEC EDGAR financial data. Parses XBRL/XML filings into clean JSON endpoints covering financials, ownership, insider transactions, ETF holdings, earnings, executive compensation, and more across 10,000+ public companies. 250M+ facts, all traceable to the source filing.

Meets criteria

Public: yes — free tier available, no payment method required for registration
Persistent: yes — active since 2025, daily-refreshed from SEC EDGAR, production infrastructure on AWS
Useful: yes — structured alternative to raw EDGAR data; used by developers building fintech apps, AI research agents, and portfolio tools

Endpoints (90+ total, highlights)
GET /api/company/details?symbol=AAPL — company profile, SIC, sector, industry
GET /api/financials/income-statement?symbol=AAPL — standardized income statement from 10-K/10-Q
GET /api/ownership/institutional-holders?symbol=AAPL — 13F institutional holders with QoQ changes
GET /api/insider-transactions?symbol=AAPL — Form 3/4/5 insider trades
GET /api/fund/holdings?symbol=SPY — ETF/mutual fund portfolio holdings from N-PORT
GET /api/filings?symbol=AAPL — SEC filing search across all form types
GET /api/earnings/snapshot?symbol=AAPL — EPS, margins, quality metrics
GET /api/screener/stocks — screen by AI-classified business model, margins, capital intensity

Category suggestion

financial or data

Also available as an MCP server at api.stockfit.io/mcp (streamable-http, token auth) for AI assistants to query SEC data directly.