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Measured on six things

A developer-first financial data API providing structured...

Accessibility

Developer tools and web docs are usable. No specific a11y mentions for screen readers or keyboard navigation. Strong on data accessibility for developers via free tier and clear docs.

Screenshots

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StockFit API

About this app

StockFit API is a comprehensive financial data platform that transforms raw SEC filings into structured, traceable data for developers. As someone who's worked with financial APIs before, I can tell you this one stands out with its 'no adjusted metrics' approach—everything is parsed directly from official XBRL filings, giving you fully traceable data you can trust. The platform covers everything from income statements and balance sheets to ETF exposure analysis and AI-classified business models, all updated daily. What really impressed me is how they've made it AI-ready with MCP integration, allowing you to connect your API key directly to tools like Claude or VS Code. The free tier with no credit card requirement makes it accessible for experimentation, while the clean REST API with clear JSON responses shows they understand developer needs. For anyone building financial applications or conducting investment research, StockFit provides that crucial bridge between raw regulatory dat...

Key features

1Direct XBRL parsing with full traceability to original SEC filings, no adjusted metrics
2Comprehensive coverage: financial statements, ETF holdings & exposure, insider/institutional ownership, AI-classified business models, screeners
3MCP integration for seamless use with Claude, Cursor, VS Code + generous free tier with no credit card

Target customer profile

Drawn from the product itself, not from a survey.

Demographic

Quantitative developers and data scientists at hedge funds, fintech startups, and investment firms

Pain points

Time-consuming manual parsing of SEC filings, unreliable adjusted financial metrics, lack of structured ETF holdings data, difficulty integrating financial data into AI workflows

Primary needs

Structured, traceable financial data directly from SEC sources, API-first approach for automation, AI integration capabilities, comprehensive coverage of US equities and ETFs

Demographic

Independent investors and research analysts building custom screening tools

Pain points

Limited access to institutional-grade data, fragmented data sources requiring manual aggregation, high costs for comprehensive financial data APIs, difficulty tracking insider transactions and institutional ownership

Primary needs

Affordable access to comprehensive financial data, screeners with AI-classified business models, ownership and ETF exposure analysis, free tier for testing and small projects

Demographic

Fintech platforms and financial application developers

Pain points

Complex integration with multiple data providers, data quality inconsistencies, lack of developer-friendly documentation, high minimum commitments for enterprise APIs

Primary needs

Simple REST API with clear documentation, reliable daily updates, comprehensive endpoint coverage, MCP integration for AI assistants, scalable pricing without enterprise minimums

Scout Review

Written by AI from measured evidence, scored out of 100.

StockFit API is a high-quality, developer-first platform that transforms painful SEC EDGAR data into clean, traceable, structured JSON. Its no-adjustments, direct-from-XBRL philosophy combined with daily updates, broad coverage (financials, ownership, ETFs, AI business models), excellent docs, interactive demos, and innovative MCP AI integration make it stand out. The free tier lowers the barrier to entry. It's particularly strong for quantitative developers, hedge funds, fintech startups, and anyone building tools that require trustworthy fundamental data. While it lacks real-time market data and international coverage, it dominates in its niche of accurate, provenance-rich regulatory filings data.

Measure by measure

Usability

REST API with predictable JSON responses, comprehensive Swagger docs, interactive console, MCP integration for Claude/Cursor/VS Code. Free tier with no credit card required. Clear endpoint organization.

Design

Clean, developer-focused landing page with interactive 'Try it yourself' demos, Swagger UI integration, live endpoint testing, and clear code snippets. Modern tech aesthetic with AI-ready badges.

Speed

Daily updates with new filings processed within hours of SEC publication. Simple REST responses. No real-time market data or latency benchmarks published. Focus is on accuracy over sub-second queries.

Security

Bearer token auth, data parsed directly from official SEC XBRL/EDGAR with full traceability to source filings. No third-party aggregators or adjusted metrics. Audit-grade precision emphasized.

Accessibility

Developer tools and web docs are usable. No specific a11y mentions for screen readers or keyboard navigation. Strong on data accessibility for developers via free tier and clear docs.

Growth

Recent Show HN launch, active development, daily updates, expanding AI features, MCP integration targeting modern AI workflows. Free tier drives adoption among indie devs and small teams.

Improvement areas

Limited to US equities and ETFs only
No real-time market price or quote data (fundamentals focus)
Advanced features like insider transactions and ETF analytics require paid plans

Design & Usability

StockFit API nails the developer experience. The site features interactive demos where you can run real endpoints directly from the browser, complete with curl examples and live JSON output. Swagger documentation is thorough with individual pages for every endpoint, including financials, filings, ownership, ETF holdings, and AI-classified business models. The MCP integration is a standout — connect your API key to Claude Desktop, Cursor, or VS Code and query SEC data conversationally. Free tier requires no credit card and covers core financial statements and filings. It's clearly built by someone who's suffered through bad financial data APIs before. Usability is excellent for quantitative developers and fintech teams who need reliable, structured data without the usual headaches of XBRL parsing.

Speed & Security

Data is updated daily with new filings available within hours of SEC submission, striking a good balance for fundamental analysis. Responses are clean JSON over standard REST calls. The real strength is security and trust: every metric is parsed directly from official XBRL without adjustments or third-party aggregation, making it fully traceable to the source filing. This 'as-reported' approach is rare and valuable for serious research, hedge funds, or AI training where data provenance matters. No real-time price data, which is intentional — this is a fundamentals and regulatory filings powerhouse, not a trading feed. Authentication is straightforward Bearer token.

Accessibility & Growth

The platform makes institutional-grade data accessible to independent developers and smaller teams through a generous free tier and transparent pricing without enterprise minimums. Comprehensive coverage of US equities, ETFs, insider transactions, institutional ownership, and AI-classified screeners lowers the barrier significantly compared to fragmented or expensive alternatives. Growth looks promising with MCP support positioning it perfectly for the AI agent wave. Documentation and daily updates build trust. While not perfect for global data or real-time needs, it excels at solving the specific pain of turning raw SEC filings into reliable, structured, AI-ready data. Strong option for quant developers, research platforms, and fintech builders.

Conclusion

If you're tired of wrestling with raw XBRL, unreliable adjusted numbers, or stitching together multiple expensive providers, StockFit is the bridge you've been looking for. The MCP integration feels like the future. Worth testing the free tier immediately.

Suggestions for improvement

Publish detailed rate limits for the free tier and add usage dashboards in the developer portal.
Expand coverage to include more international filings or key non-US markets.
Add benchmarking data for API response times and throughput under load.
Create more example notebooks and starter repos for common use cases like building AI screeners or DCF models.

How we score

Alternatives comparison

Named competitors, point by point. Nobody paid to appear here or to be left out.

	StockFit API	Alpha Vantage	Polygon.io	SEC EDGAR API
Structured SEC Filings & Traceable XBRL Data	Excellent - Pre-parsed, fully traceable, as-reported, no adjustments	Limited - Basic fundamentals, less depth on raw filings	Moderate - Good market data, weaker on deep SEC/XBRL parsing	Raw only - Requires heavy manual parsing and structuring
ETF Holdings & Exposure Analysis	Strong - NPORT-P based holdings, overlap, AI exposure models	Weak - Limited or no dedicated ETF exposure tools	Moderate - Some holdings data but requires extra work	Raw NPORT-P only - No analysis or structuring
AI Integration & Developer Experience	Outstanding - MCP for Claude/Cursor/VS Code, excellent Swagger + interactive demos	Basic - Standard REST, popular but dated docs	Strong - Developer-focused with good docs and WebSockets	Poor - Official but very low-level, no AI tools
Free Tier Accessibility	Generous - Core financials & filings, no credit card needed	Restricted - Very low daily call limits	Limited - Strict rate limits on free plan	Free but raw - No structured data or easy tier