StockFit API

StockFit API is a financial data platform built specifically for developers, quants, and research platforms who require direct, reliable access to SEC filing data without the usual compromises. The platform pulls financial data directly from SEC XBRL filings, which means there is no derived middle layer and every single number is traceable back to its original filing. This architecture gives users confidence that their modeling is accurate and auditable. StockFit covers a comprehensive range of data categories including fundamentals, ownership data, ETF and mutual fund exposure, insider transactions, and all types of filings. The platform handles complexities that other APIs ignore, such as amended filings, non-December fiscal years, and Q4 reconstructions from 10-K and 10-Q data. Beyond raw numbers, StockFit provides rich economic models per company including 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 perfect for LLM workflows. With over 250 million facts, 5 million filings, and daily updates, StockFit is built for serious financial analysis. The platform delivers standardized financials, sector-aware metrics, and source-cited economic models that are structured specifically for valuation and backtesting workflows.

Direct SEC XBRL Sourcing

StockFit pulls financial data directly from SEC XBRL filings, eliminating any derived middle layer that could introduce errors or inaccuracies. Every single number returned by the API is traceable back to its original SEC filing, giving users complete confidence in the auditability and accuracy of their financial models. This direct sourcing approach ensures that developers and quants are working with the exact same data reported by public companies, without any intermediary modifications or assumptions.

Comprehensive Data Coverage

The platform covers over 250 million facts across 5 million filings with daily updates, providing an extensive and current dataset for financial analysis. StockFit includes fundamentals, ownership data, ETF and mutual fund exposure, insider transactions, and all types of SEC filings. This breadth of coverage allows users to access a wide range of financial information from a single API, simplifying their data infrastructure and reducing the need to aggregate data from multiple sources.

Complex Filing Handling

StockFit handles complex filing scenarios that other APIs typically ignore, including amended filings, non-December fiscal years, and Q4 reconstructions from 10-K and 10-Q data. This capability ensures that users get accurate and complete financial data regardless of a company's reporting structure or filing history. The platform intelligently reconstructs quarterly data from annual reports when necessary, providing a consistent and reliable dataset for time-series analysis and backtesting.

AI-Ready Economic Models

Beyond raw financial numbers, StockFit provides rich economic models per company including 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. This feature enables advanced analysis and natural language processing applications that go far beyond simple financial data retrieval.

Quantitative Backtesting and Model Development

Quantitative analysts and developers can use StockFit to build and backtest financial models with confidence, knowing that every data point is directly sourced from SEC filings and fully auditable. The standardized financials and sector-aware metrics eliminate the common problems of taxonomy drift and inconsistent data formatting that plague other financial APIs. Users can run historical backtests across multiple companies and fiscal periods, accessing clean, model-ready data that includes critical adjustments for amended filings and non-standard fiscal years.

Automated Fundamental Analysis for Research Platforms

Research platforms can integrate StockFit to provide their users with accurate, up-to-date fundamental data for thousands of publicly traded companies. The API delivers standardized income statements, balance sheets, and cash flow statements that are ready for immediate analysis without additional cleaning or normalization. Research platforms can leverage StockFit's source-cited data to offer audit trails and transparency to their users, enhancing trust and credibility in their analytical outputs.

LLM-Powered Financial Analysis and Insights

Developers building AI-powered financial tools can use StockFit's AI-friendly economic models to create sophisticated analysis applications. The platform provides rich contextual data including competitive advantages, operating levers, and strategic initiatives that can be fed directly into large language models for natural language querying and insight generation. ETF and mutual fund exposure data is structured specifically for LLM workflows, enabling advanced portfolio analysis and investment research applications.

Insider Trading and Ownership Tracking

Investors and compliance professionals can use StockFit to monitor insider transactions and ownership data across thousands of companies. The platform provides direct access to all types of filings, including beneficial ownership reports and insider transaction disclosures. Users can track changes in ownership patterns, identify significant insider buying or selling activity, and analyze ownership concentration data for informed investment decisions and regulatory compliance monitoring.

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

StockFit pulls financial data directly from SEC XBRL filings without any derived middle layer, meaning every number is traceable back to its original SEC filing. This eliminates the common problem of data degradation that occurs when APIs aggregate or transform data from multiple sources. Users can verify any data point by referencing the source filing identifier provided in every API response, ensuring complete auditability and accuracy.

What types of filing complexities does StockFit handle?

StockFit handles amended filings, non-December fiscal years, and Q4 reconstructions from 10-K and 10-Q data. Many financial APIs struggle with these scenarios, often returning incomplete or inaccurate data for companies with non-standard fiscal years or amended filings. StockFit intelligently processes these complexities to provide a consistent and reliable dataset for time-series analysis and backtesting.

Can StockFit be used for real-time financial analysis?

StockFit updates its database daily with new filings, providing users with access to the latest financial data as it becomes available from the SEC. While not providing real-time stock prices or market data, the platform excels at delivering timely fundamental data for companies that have recently filed their financial reports. This daily update cadence is ideal for users who need current financial data for ongoing analysis and research.

What is the format of the economic models provided by StockFit?

StockFit provides economic models in an AI-friendly format optimized for LLM workflows. These models include structured data on company offerings, peers, operating levers, competitive advantages, flywheels, strategic initiatives, and failure modes. For ETFs and mutual funds, the models cover mandate, portfolio construction, costs, sensitivities, and use cases. The data is designed to be easily consumed by machine learning models and natural language processing applications.