StockFit API

StockFit API is a specialized financial data platform engineered for developers, quantitative analysts, and research platforms who require direct and reliable access to SEC filing data without the compromises typically associated with other data providers. The platform addresses a critical gap in the financial data market by pulling data directly from SEC XBRL filings, eliminating any derived middle layer and ensuring every single number is traceable back to its original filing. This architecture provides users with complete confidence that their modeling inputs are accurate and fully auditable. StockFit covers a comprehensive range of financial data including fundamentals, ownership data, ETF and mutual fund exposure, insider transactions, and all types of SEC filings. The platform intelligently handles complex data 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. Beyond providing raw numerical data, StockFit delivers rich economic models per company including offerings, peers, operating levers, competitive advantages, flywheels, strategic initiatives, and failure modes. For ETF and mutual fund exposure analysis, 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 API is purpose-built for serious financial analysis, valuation work, and backtesting operations.

Direct SEC XBRL Data 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 filing, providing complete auditability and confidence. This approach ensures that the data you model with is as accurate and reliable as the information companies file with regulators, making it ideal for building financial models, running backtests, and analyzing company fundamentals.

Standardized and Model-Ready Financials

The platform delivers standardized financials that are sector-aware and formatted for immediate use in modeling and backtesting workflows. StockFit handles complex data normalization tasks automatically, including standardization across different accounting treatments, taxonomy drift prevention, and consistent metric naming. The API returns data in a model-ready JSON format with standardized field names, fiscal period alignments, and source citations, eliminating the need for extensive data cleaning and transformation before analysis.

Comprehensive Economic Models

Beyond raw financial numbers, StockFit provides rich economic models per company that include offerings, peer comparisons, operating levers, competitive advantages, flywheels, strategic initiatives, and failure modes. These models are structured in an AI-friendly format perfect for LLM workflows and advanced analytical applications. For ETF and mutual fund exposure, the platform models mandate, portfolio construction, costs, sensitivities, and use cases, providing a complete picture of investment vehicles and their underlying holdings.

Advanced Filing Complexity Handling

StockFit intelligently manages the complexities of SEC filings that other APIs typically ignore or mishandle. The platform correctly processes amended filings, companies with non-December fiscal years, and Q4 reconstructions from 10-K and 10-Q data. This ensures that financial time series are accurate and consistent across different reporting periods and company structures. The API also handles multiple share classes, stock splits, and other corporate actions that can distort financial data if not properly accounted for.

Quantitative Backtesting and Strategy Development

Quantitative analysts and algorithmic traders can use StockFit to build and backtest financial models with auditable, source-cited data. The standardized financials and comprehensive coverage of over 250 million facts enable robust strategy development across multiple asset classes and time periods. The API's handling of complex filing scenarios ensures that backtests are not contaminated by data errors or inconsistencies, leading to more reliable strategy evaluation and risk assessment.

Fundamental Analysis and Valuation

Equity researchers and valuation professionals can leverage StockFit to perform deep fundamental analysis on thousands of companies. The platform provides direct access to income statements, balance sheets, cash flow statements, and key financial metrics with full source traceability. The rich economic models, including competitive advantages, operating levers, and failure modes, enable analysts to build comprehensive valuation frameworks that go beyond simple financial ratios.

AI and Machine Learning Financial Models

Developers building AI-powered financial applications can use StockFit's AI-friendly data formats to train and deploy machine learning models. The platform's structured economic models, standardized financials, and comprehensive metadata are optimized for LLM workflows and natural language processing applications. The source-cited data ensures that AI models can provide explainable and auditable outputs, which is critical for regulated financial applications.

Portfolio and Exposure Analysis

Investment professionals can use StockFit to analyze ETF and mutual fund exposures, including mandate, portfolio construction, costs, sensitivities, and use cases. The platform enables detailed analysis of fund holdings, sector exposures, and factor tilts, helping portfolio managers understand their risk exposures and make informed rebalancing decisions. The insider transactions and ownership data further enhance the ability to monitor portfolio companies and detect potential changes in corporate governance.

StockFit API offers flexible pricing designed to accommodate different usage levels and organizational needs. The platform provides a free API key for developers to get started and test the functionality. For detailed pricing information including specific plan tiers, usage limits, and enterprise options, please visit the StockFit website pricing page or contact the sales team for a customized quote based on your specific data requirements and usage patterns.

How does StockFit ensure data accuracy and auditability?

StockFit pulls financial data directly from SEC XBRL filings, meaning there is no derived middle layer that could introduce errors or approximations. Every single number returned by the API is traceable back to its original filing through source identifiers included in the response. This approach ensures complete auditability and gives users confidence that what they are modeling is accurate and can be verified against official regulatory filings.

What types of financial data does StockFit cover?

StockFit covers a comprehensive range of financial data including fundamentals (income statements, balance sheets, cash flow statements), 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 offerings, peers, operating levers, competitive advantages, flywheels, strategic initiatives, and failure modes. With over 250 million facts and 5 million filings, the coverage is extensive and updated daily.

How does StockFit handle complex filing scenarios?

StockFit intelligently manages complex filing scenarios that other APIs typically ignore, including amended filings, companies with non-December fiscal years, and Q4 reconstructions from 10-K and 10-Q data. The platform standardizes financial data across different accounting treatments, prevents taxonomy drift, and ensures consistent metric naming. This handling ensures that financial time series are accurate and consistent across different reporting periods and company structures.

Can StockFit be used for real-time financial analysis?

StockFit provides daily updates to its database of over 250 million facts and 5 million filings, ensuring that users have access to the most current financial data available. While the platform is primarily focused on SEC filing data rather than real-time market data, the daily update frequency is sufficient for most fundamental analysis, backtesting, and valuation workflows. The API is designed for serious financial analysis and provides the data freshness needed for timely investment research.