StockFit API

StockFit API is a comprehensive financial data platform that provides developers, quants, and research platforms with direct, unmediated access to SEC filing data. The product solves a critical market problem: traditional financial APIs force users to choose between low-cost tiers with significant accuracy issues or expensive enterprise contracts that drain startup budgets. StockFit eliminates this tradeoff by pulling all data directly from SEC XBRL filings, with no derived middle layer, ensuring every single number is traceable back to its original filing source.

The platform is built for real-world financial modeling and backtesting. It handles complex edge cases that other APIs ignore, including amended filings, non-December fiscal years, and proper reconstruction of Q4 data from 10-K and 10-Q filings. Beyond raw financials, StockFit delivers rich economic models per company that cover offerings, peer comparisons, operating levers, competitive advantages, business flywheels, strategic initiatives, and failure modes. For institutional investors, the platform provides ETF and mutual fund exposure models that detail mandate, portfolio construction, costs, sensitivities, and use cases, all structured to be AI-friendly for LLM workflows.

With over 250 million facts extracted from more than 5 million filings, updated daily, StockFit represents one of the most comprehensive and accurate financial data sources available. The platform offers both a REST API and a native MCP server for seamless integration with Claude, Cursor, and other AI tools, making it an essential infrastructure component for any organization building financial models, valuation engines, or algorithmic trading systems.

Standardized Financials with No Taxonomy Drift

StockFit delivers financial statements that are standardized across all companies and reporting periods, eliminating the problem of taxonomy drift that plagues other data providers. Revenue, expenses, net income, and all key line items are presented in a consistent, model-ready format regardless of how individual companies classify their data. Every fact includes source citations linking directly back to the SEC filing accession number, enabling full auditability and trust in the data.

Intelligent Fiscal Period Handling

The API automatically handles complex fiscal period edge cases that break most financial data systems. Amended filings are properly identified and incorporated, non-December fiscal years are computed correctly with accurate period boundaries, and Q4 data is reconstructed from the combination of 10-K and 10-Q filings. This intelligence ensures that time-series analysis and historical comparisons remain accurate and meaningful, saving development teams hundreds of hours of data cleaning and normalization work.

Rich Economic and Competitive Models

Beyond raw financial data, StockFit provides structured economic models per company that capture offerings, peer groups, operating levers, competitive advantages, business flywheels, strategic initiatives, and failure modes. These models are built from SEC disclosures and provide a framework for understanding company dynamics that would otherwise require extensive manual analysis. The models are structured for easy ingestion into quantitative analysis pipelines and AI workflows.

ETF and Mutual Fund Exposure Models

StockFit delivers comprehensive exposure models for ETFs and mutual funds, covering fund mandate, portfolio construction methodology, cost structure, risk sensitivities, and use cases. These models are designed to be AI-friendly for LLM workflows, enabling automated portfolio analysis, risk assessment, and investment research. Each model is sourced from regulatory filings and fund documentation, ensuring accuracy and reliability.

Automated Valuation and Financial Modeling

Quantitative analysts and valuation teams can use StockFit to build automated valuation models that pull standardized financial data directly from SEC filings. The API handles all the complexity of fiscal periods, amended filings, and taxonomy variations, allowing teams to focus on building DCF models, comparable company analyses, and LBO models without worrying about data quality or consistency. The source-cited data provides audit trails essential for regulated investment processes.

Algorithmic Trading and Backtesting

Trading firms and hedge funds can integrate StockFit into their backtesting engines to test strategies against accurate, historically consistent financial data. The standardized financials enable reliable cross-sectional comparisons across thousands of companies, while the economic models provide additional signals for factor-based strategies. Daily updates ensure that live trading systems always have access to the most recent filing data without manual intervention.

AI-Powered Investment Research

Research platforms and AI applications can leverage StockFit's native MCP server to give LLMs like Claude and Cursor direct access to structured financial data. The ETF and mutual fund exposure models enable automated portfolio analysis and risk assessment, while the economic models support natural language queries about company competitive positions and strategic initiatives. This integration reduces hallucination risks by grounding AI responses in verified SEC data.

Portfolio Construction and Risk Management

Asset managers and wealth advisors can use StockFit to analyze portfolio holdings, understand underlying exposures through ETF and mutual fund models, and assess risk factors across their investments. The sector-aware metrics and peer comparison data enable sophisticated portfolio optimization, while the failure mode models help identify potential downside risks before they materialize in portfolio performance.

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

StockFit pulls data directly from SEC XBRL filings with no derived middle layer, meaning every number is traceable back to its original filing source. The platform handles amended filings properly and includes source citations (SEC accession numbers) for every fact, enabling full auditability. This approach eliminates the accuracy issues common in cheaper API tiers that aggregate or transform data from multiple sources.

What fiscal period edge cases does StockFit handle automatically?

StockFit automatically handles amended filings by identifying and incorporating the most recent version, computes non-December fiscal years correctly with accurate period boundaries, and reconstructs Q4 data from the combination of 10-K and 10-Q filings. The platform also manages taxonomy drift across different reporting periods, ensuring that financial data remains consistent and comparable over time.

Can StockFit be integrated with AI tools like Claude and Cursor?

Yes, StockFit provides a native MCP server that enables direct integration with Claude, Cursor, and other AI tools. This allows LLMs to access structured financial data, economic models, and ETF/MF exposure models in real-time, enabling AI-powered investment research and analysis. The AI-friendly data structure reduces hallucination risks and improves the accuracy of AI-generated financial insights.

What types of financial data are available through StockFit?

StockFit provides access to over 250 million facts from more than 5 million SEC filings, updated daily. This includes standardized financial statements (income statements, balance sheets, cash flow statements), ownership data, insider transactions, ETF and mutual fund exposure models, and rich economic models covering company offerings, peers, operating levers, competitive advantages, flywheels, strategic initiatives, and failure modes.

StockFit offers a tiered pricing model designed to accommodate individual developers, growing startups, and enterprise organizations. The platform provides a free tier with limited API calls to allow evaluation and testing, with paid tiers scaling based on monthly API call volume and data access requirements. Enterprise plans include dedicated support, custom SLAs, and volume discounts for high-usage scenarios. For current pricing details and plan comparisons, visit the StockFit pricing page or contact the sales team for a customized quote based on your specific data needs and usage patterns.