Structured SEC data for investors, quants, and research tools. Financials, ownership, ETFs

StockFit API is a developer-focused platform that provides a structured SEC data API designed for investors, quantitative developers, and financial research platforms. Its core purpose is to transform raw financial data from official SEC filings into clean, structured, and easily accessible information that can be integrated directly into applications, models, or analytical workflows. Unlike many financial data providers that rely on adjusted or estimated metrics, StockFit emphasizes accuracy and transparency by delivering data exactly as it appears in SEC XBRL filings, ensuring that every data point is fully traceable back to its original source.

One of the main strengths of StockFit is its comprehensive coverage of U.S. equities and ETFs. The platform aggregates a wide range of financial and corporate data, including income statements, balance sheets, cash flow statements, and growth metrics. This data is presented in a structured format that is ready for immediate use, whether for building dashboards, conducting financial analysis, or training machine learning models. By removing the complexity of parsing raw filings, StockFit allows developers to focus on building products rather than cleaning and organizing data.

Another key feature of the platform is its focus on ownership and investment insights. StockFit provides detailed information on institutional holdings and insider activity, including data from 13F filings, beneficial ownership reports, and insider transactions such as Forms 3, 4, and 5. This enables users to analyze how major investors and company executives are interacting with specific stocks, offering valuable signals for investment strategies and market research. Additionally, the platform includes ETF exposure data, allowing users to explore portfolio compositions, fund flows, and overlaps between different funds.

StockFit also incorporates advanced capabilities powered by artificial intelligence. For example, it offers AI-classified business models that analyze a company’s economic structure, competitive advantages, and operational dynamics. This helps users quickly understand how a company generates value and how it compares to its peers. The platform further enhances this with features like filing intelligence, which organizes SEC filings into meaningful events and timelines, and earnings data that includes historical performance, margin trends, and predicted reporting dates.

A notable aspect of StockFit is its seamless integration with modern development and AI tools. Through MCP (Model Context Protocol), users can connect the API directly to environments such as Claude, Cursor, or Visual Studio Code, effectively turning their API key into an AI-powered tool. This makes it easier to query financial data using natural language or integrate it into AI-driven workflows. The platform also provides a playground where developers can test endpoints in real time without needing to sign up, lowering the barrier to entry and encouraging experimentation.

From a usability standpoint, StockFit is built with a “developer-first” philosophy. It offers a simple REST API with clear JSON responses, making it easy to integrate into various applications. Features like symbol lookup, batch queries, and stock screeners further enhance its flexibility. The data is updated daily from the SEC EDGAR system, ensuring that users always have access to the most recent information.

Overall, StockFit stands out as a powerful and transparent solution for accessing structured financial data. By combining reliable sourcing, AI-driven insights, and seamless developer integration, it enables users to build sophisticated financial tools, conduct in-depth research, and leverage high-quality data without the usual complexity associated with SEC filings.