StockFit API

StockFit API is a specialized financial data platform engineered specifically for developers, quantitative analysts, and research platforms that 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 pulling financial data directly from SEC XBRL filings, eliminating any derived middle layer that can introduce errors or inconsistencies. Every single number provided by StockFit API is traceable back to its original filing, giving users complete confidence that their models are built on accurate and auditable data. The platform covers an extensive range of financial information including fundamentals, ownership data, ETF and mutual fund exposure, insider transactions, and all types of SEC filings. StockFit API handles complex data scenarios that other APIs often ignore, such as amended filings, non-December fiscal years, and Q4 reconstructions derived from 10-K and 10-Q data. Beyond raw numerical data, the platform 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 specifically, StockFit API 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 API is built to support serious financial analysis, valuation work, and backtesting operations.

Direct SEC XBRL Data Sourcing

StockFit API eliminates the problem of inaccurate or incomplete data by pulling financial information directly from SEC XBRL filings. There is no derived middle layer that can introduce errors or approximations. Every single data point provided by the platform is traceable back to its original SEC filing, giving users complete auditability and confidence in the accuracy of their models. This direct sourcing approach ensures that what you are modeling is based on verified, regulatory-grade data.

Comprehensive Financial Coverage

The platform covers an extensive range of financial data including fundamentals, ownership information, ETF and mutual fund exposure, insider transactions, and all types of SEC filings. StockFit API handles complex scenarios that other APIs ignore, such as amended filings, companies with non-December fiscal years, and Q4 reconstructions from 10-K and 10-Q data. This comprehensive coverage ensures users have access to the full picture needed for thorough financial analysis.

Economic Modeling Capabilities

Beyond raw numbers, StockFit API provides rich economic models per company including detailed analysis of offerings, peer comparisons, operating levers, competitive advantages, flywheels, strategic initiatives, and failure modes. For ETF and mutual fund exposure specifically, the platform models mandate, portfolio construction, costs, sensitivities, and use cases in an AI-friendly format. These models are designed to be immediately useful for LLM workflows and advanced quantitative analysis.

Standardized and Model-Ready Data

StockFit API delivers financial data that is standardized, sector-aware, and free from taxonomy drift. The platform provides model-ready data structures that include standardized financials, sector-aware metrics, and source-cited economic models. Data is returned with clear source references linking each fact back to its original filing document, making it easy for users to verify and audit the information. The API supports multiple fiscal periods and provides consistent data formatting across all companies and time periods.

Quantitative Backtesting and Model Development

Quantitative analysts and developers can use StockFit API to build and backtest financial models with confidence, knowing that every data point is directly sourced from SEC filings and fully auditable. The platform provides standardized financial statements, sector-aware metrics, and consistent data formatting that eliminates the need for extensive data cleaning and normalization. Users can pull historical financial data for thousands of companies, run complex backtests, and build valuation models using reliable, traceable data.

Investment Research and Fundamental Analysis

Research platforms and investment professionals can leverage StockFit API to conduct deep fundamental analysis on public companies. The platform provides access to income statements, balance sheets, cash flow statements, and key financial ratios for any SEC-filing company. Users can analyze revenue trends, profit margins, operating expenses, and other critical financial metrics with the assurance that the data is accurate and sourced directly from regulatory filings. The economic models further enhance analysis by providing insights into competitive advantages and strategic initiatives.

ETF and Mutual Fund Exposure Analysis

Asset managers and financial analysts can use StockFit API to model ETF and mutual fund exposure in detail. The platform provides comprehensive data on portfolio construction, costs, sensitivities, and use cases for funds. This information is presented in an AI-friendly format that is ideal for integration into larger analytical workflows. Users can analyze fund mandates, understand portfolio construction methodologies, and evaluate cost structures to make more informed investment decisions.

LLM and AI-Powered Financial Applications

Developers building AI-powered financial applications can integrate StockFit API to provide their models with high-quality, structured financial data. The platform's economic models are specifically designed for LLM workflows, offering ready-to-use data on company offerings, peers, operating levers, competitive advantages, and failure modes. This enables the creation of sophisticated financial chatbots, research assistants, and analysis tools that can provide accurate, source-cited financial insights to end users.

How does StockFit API ensure data accuracy and reliability?

StockFit API pulls financial data directly from SEC XBRL filings, eliminating any derived middle layer that could introduce errors. Every single data point is traceable back to its original filing, and the platform provides source citations for all facts. This direct sourcing approach ensures that users are working with verified, regulatory-grade data that can be fully audited and validated.

What types of financial data does StockFit API cover?

The platform covers an extensive range of financial information including fundamentals, ownership data, ETF and mutual fund exposure, insider transactions, and all types of SEC filings. StockFit API handles complex scenarios such as amended filings, non-December fiscal years, and Q4 reconstructions from 10-K and 10-Q data. The platform currently contains over 250 million facts and 5 million filings.

How often is the data updated?

StockFit API is updated daily with new filings and financial data. This ensures that users always have access to the most current information available from SEC filings. The platform processes new filings as they become available, providing timely updates for all covered companies and funds.

What makes StockFit API different from other financial data providers?

StockFit API differentiates itself by providing direct access to SEC XBRL data without any derived middle layer, ensuring complete accuracy and auditability. The platform also offers 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 provides detailed modeling of mandate, portfolio construction, costs, sensitivities, and use cases in an AI-friendly format optimized for LLM workflows.