StockFit API

StockFit API is a powerful financial data platform designed specifically for developers, quantitative analysts, and research platforms who need direct, reliable access to SEC filing data without the usual compromises. The traditional financial data landscape forces users into a difficult choice: either accept cheap tiers plagued by accuracy issues or commit to expensive enterprise contracts that drain a startup's budget. StockFit API fills this critical gap by providing fundamentals, ownership data, ETF and mutual fund exposure, insider transactions, and filings, all pulled directly from SEC XBRL data with no derived middle layer. Every single number is traceable back to its original filing, ensuring complete transparency and auditability. The platform is built for real-world use cases, handling complex scenarios like amended filings, correctly computing non-December fiscal years, and reconstructing Q4 data from 10-K and 10-Q filings. Beyond standard financials, StockFit offers rich economic models per company covering offerings, peers, operating levers, competitive advantages, flywheels, strategic initiatives, and failure modes. ETF and mutual fund exposure models include mandate details, portfolio construction, costs, sensitivities, and use cases, all designed to be AI-friendly for LLM workflows. With over 250 million facts, 5 million filings, and daily updates, StockFit API delivers both a traditional REST API and a native MCP server for seamless integration with Claude, Cursor, and other AI tools, making it the definitive solution for anyone serious about financial modeling and backtesting.

Direct SEC XBRL Data Access

StockFit API eliminates the middle layer that typically introduces errors and latency in financial data. Every data point is extracted directly from SEC XBRL filings, meaning you get the raw, unmodified numbers exactly as companies reported them. Each fact is traceable to its specific source filing, enabling full audit trails and confidence in your models. This direct access ensures no taxonomy drift or interpretation errors corrupt your analysis.

Intelligent Fiscal Period Handling

The platform intelligently handles complex fiscal scenarios that break most financial APIs. Amended filings are automatically detected and incorporated, non-December fiscal years are computed correctly without manual intervention, and Q4 data is accurately reconstructed by combining 10-K and 10-Q filings. This automation saves countless hours of manual data cleaning and ensures your models always use the most accurate period data available.

Rich Economic and Exposure Models

Beyond standard financial statements, StockFit provides sophisticated economic models per company that cover offerings, peer comparisons, operating levers, competitive advantages, flywheels, strategic initiatives, and failure modes. ETF and mutual fund exposure models include mandate details, portfolio construction methodologies, cost analysis, sensitivity metrics, and specific use cases. These models are structured to be AI-friendly, making them ideal for integration with LLM workflows and automated analysis pipelines.

Dual API Access with MCP Server

StockFit offers both a traditional REST API for standard integration and a native MCP (Model Context Protocol) server for direct use with AI tools like Claude and Cursor. This dual access means developers can choose their preferred integration method, while AI-powered workflows can leverage the MCP server for seamless, context-aware data retrieval. The platform updates daily with over 250 million facts from 5 million filings, ensuring you always have the latest data.

Automated Valuation Modeling

Quantitative analysts and valuation professionals can use StockFit API to build fully automated valuation models that pull standardized financials, sector-aware metrics, and economic models directly from SEC filings. The platform handles all the complexity of fiscal periods and amended filings, allowing users to focus on building DCF models, comparable company analyses, and precedent transactions without worrying about data quality or consistency issues.

Backtesting and Quantitative Research

Researchers and quants can integrate StockFit API directly into their backtesting frameworks to access clean, standardized historical financial data. The platform's support for non-December fiscal years and accurate Q4 reconstruction ensures that backtests use correct period boundaries. The rich economic models provide additional features for factor research, while the ETF and mutual fund exposure data enables sophisticated portfolio construction and risk analysis.

LLM-Powered Financial Analysis

AI developers and data scientists can leverage StockFit's MCP server to give large language models direct access to verified financial data. The AI-friendly structure of economic models and exposure data allows LLMs to perform complex financial analysis, generate investment memos, answer questions about company fundamentals, and provide context-aware insights without hallucination risks, as every fact is traceable to its source filing.

Insider and Ownership Tracking

Compliance teams, journalists, and market researchers can use StockFit API to track insider transactions, institutional ownership changes, and ETF and mutual fund exposure in real time. The platform's daily updates ensure users always have the latest information on who is buying, selling, or holding positions. The ability to trace every fact back to its original SEC filing provides the transparency needed for regulatory reporting and investigative analysis.

How does StockFit API ensure data accuracy compared to other financial APIs?

StockFit API eliminates the derived middle layer that introduces errors in other platforms. Every data point is extracted directly from SEC XBRL filings, meaning you get exactly what companies reported with no interpretation or transformation. Each fact includes its source filing identifier, allowing you to trace any number back to the original document for complete auditability. This direct approach prevents taxonomy drift and ensures consistency across all data points.

Can StockFit API handle companies with non-December fiscal years?

Yes, StockFit API is built specifically to handle non-December fiscal years correctly. Many financial APIs struggle with companies that have fiscal years ending in months other than December, often misaligning periods or requiring manual correction. StockFit automatically computes fiscal periods based on each company's actual fiscal year end, ensuring that all data is correctly periodized for accurate modeling and backtesting.

How does the MCP server integration work with AI tools?

StockFit provides a native MCP (Model Context Protocol) server that works directly with AI tools like Claude and Cursor. Instead of writing traditional API calls, you can connect the MCP server to your AI tool, allowing it to query financial data contextually as part of your workflow. The server handles authentication, data retrieval, and formatting automatically, making it simple to incorporate verified financial data into AI-powered analysis, report generation, and research tasks.

What types of economic models are available beyond standard financials?

StockFit provides rich economic models for each company that go far beyond standard financial statements. These include analysis of offerings and product lines, peer comparisons with sector-aware metrics, operating levers and key drivers, competitive advantages and moats, flywheel dynamics, strategic initiatives, and potential failure modes. For ETFs and mutual funds, models cover mandate details, portfolio construction methodology, cost analysis, sensitivity metrics, and specific use cases. All models are structured to be AI-friendly for LLM workflows.

StockFit API offers flexible pricing designed to fit the needs of individual developers, growing startups, and enterprise research platforms. The platform provides a free tier to get started with basic access, allowing you to explore the data and test integration before committing to a paid plan. Paid tiers scale with your usage, offering increased request limits, access to premium economic models, and priority support. For detailed pricing information including specific plan features, rate limits, and enterprise options, please visit the StockFit API pricing page on the official website.