StockFit API

StockFit API is a specialized financial data platform engineered for developers, quantitative analysts, and research platforms who require direct, reliable access to SEC filing data without the compromises typically associated with financial data providers. The platform addresses a critical gap in the market by offering financial data that is not only accurate but also fully auditable, with every number traceable back to its original SEC XBRL filing. Unlike many competitors that provide derived or estimated data, StockFit pulls information directly from official filings, eliminating the middle layer that often introduces inaccuracies. This makes it an ideal solution for anyone building financial models, running backtests, or analyzing company fundamentals. The platform covers a comprehensive range of data types, including fundamentals, ownership data, ETF and mutual fund exposure, insider transactions, and all types of SEC filings. StockFit also handles complex scenarios that other APIs frequently overlook, such as amended filings, companies with non-December fiscal years, and proper Q4 reconstructions from 10-K and 10-Q data. Beyond raw numbers, StockFit enriches its offerings with detailed economic models per company, including information on offerings, peers, operating levers, competitive advantages, flywheels, strategic initiatives, and failure modes. For ETF and mutual fund exposure, the platform models mandate, portfolio construction, costs, sensitivities, and use cases in an AI-friendly format optimized for LLM workflows. With over 250 million facts, 5 million filings, and daily updates, StockFit is built for serious financial analysis that demands both depth and reliability.

Direct SEC XBRL Data Access

StockFit pulls financial data directly from SEC XBRL filings, ensuring that every data point is traceable back to its original source. This eliminates the derived middle layer that often introduces inaccuracies in financial models. Users can trust that the numbers they are working with are not estimates or averages but actual reported figures from official company filings. This feature is critical for developers and quants who need auditable data for rigorous backtesting and financial modeling.

Comprehensive Data Coverage

The platform covers a vast array of financial data types, including fundamentals, ownership data, ETF and mutual fund exposure, insider transactions, and all types of SEC filings. With over 250 million facts and 5 million filings, StockFit provides an unparalleled depth of information. This comprehensive coverage allows users to analyze companies from multiple angles, from core financial statements to complex ownership structures and market exposure.

Handling of Complex Filing Scenarios

StockFit expertly manages complex filing scenarios that other APIs often ignore or mishandle. This includes proper handling of amended filings, companies with non-December fiscal years, and accurate Q4 reconstructions from 10-K and 10-Q data. This feature ensures that users working with companies that have irregular reporting cycles or restated financials get accurate, consistent data without manual corrections.

AI-Friendly Economic Models

Beyond raw financial data, StockFit provides rich economic models per company, including information on offerings, peers, operating levers, competitive advantages, flywheels, strategic initiatives, and failure modes. For ETF and mutual fund exposure, the platform models mandate, portfolio construction, costs, sensitivities, and use cases in an AI-friendly format. This structured, contextual data is optimized for LLM workflows, making it easy to integrate into AI-driven analysis and research applications.

Quantitative Backtesting and Model Development

Quantitative analysts and algorithmic traders can use StockFit to build and backtest financial models with confidence. The direct SEC data ensures that historical financials are accurate and auditable, which is essential for validating trading strategies and risk models. The platform's handling of complex filing scenarios, such as amended filings and non-December fiscal years, prevents data inconsistencies that could skew backtesting results.

Fundamental Analysis and Valuation

Financial analysts and investors can leverage StockFit to perform deep fundamental analysis on public companies. The platform provides standardized, model-ready financial statements that are sector-aware and free from taxonomy drift. This allows analysts to quickly compare companies across industries, calculate valuation metrics, and build discounted cash flow models using reliable, traceable data.

AI and LLM-Powered Financial Research

Researchers and developers building AI-driven financial tools can use StockFit's AI-friendly economic models and structured data to train and enhance large language models. The platform provides contextual information about company strategies, competitive advantages, and failure modes, enabling AI systems to generate more nuanced and accurate financial analysis. The ETF and mutual fund exposure data is also formatted for easy integration into LLM workflows.

Insider Trading and Ownership Analysis

Compliance officers, risk managers, and market researchers can use StockFit to track insider transactions and ownership data. The platform provides direct access to this information from SEC filings, allowing users to monitor changes in insider positions, identify potential red flags, and analyze ownership trends. This data is crucial for understanding corporate governance and market sentiment.

What makes StockFit different from other financial data APIs?

StockFit differentiates itself by pulling data directly from SEC XBRL filings, ensuring that every number is traceable back to its original source. Unlike competitors that use derived or estimated data, StockFit eliminates the middle layer, providing auditable and accurate information. Additionally, the platform handles complex scenarios like amended filings and non-December fiscal years, which many APIs ignore.

What types of data does StockFit cover?

StockFit covers a comprehensive range of data types, including financial fundamentals (income statements, balance sheets, cash flows), ownership data, ETF and mutual fund exposure, insider transactions, and all types of SEC filings. The platform also provides rich economic models per company, including information on competitive advantages, operating levers, and strategic initiatives. In total, it offers over 250 million facts from 5 million filings.

Is the data from StockFit suitable for backtesting?

Yes, StockFit is specifically built for valuation and backtesting. The data is standardized, model-ready, and free from taxonomy drift, making it ideal for quantitative analysis. The platform's ability to handle complex filing scenarios, such as Q4 reconstructions from 10-K and 10-Q data, ensures that historical financials are accurate and consistent for rigorous backtesting.

How often is the data updated?

StockFit is updated daily with new filings and data points. This ensures that users have access to the most current financial information available. With over 250 million facts and 5 million filings, the platform provides a massive, continuously growing dataset that supports both historical analysis and real-time research.

StockFit API offers flexible pricing designed to accommodate a range of users, from individual developers to large research platforms. For detailed pricing information, including available tiers, rate limits, and data access levels, please visit the official StockFit website or contact the sales team. A free API key is available for initial testing and exploration, allowing users to evaluate the platform's capabilities before committing to a paid plan.