StockFit API

StockFit API is a groundbreaking financial data platform that gives developers, quants, and research platforms direct access to SEC filing data without the usual painful tradeoffs! Most financial APIs force you to choose between cheap tiers with accuracy issues or enterprise contracts that drain a startup's budget. StockFit fills that gap perfectly by delivering fundamentals, ownership data, ETF/MF exposure, insider transactions, and filings all pulled directly from SEC XBRL with no derived middle layer. Every single number is traceable back to the original filing, giving you complete confidence in your data!

This API is built for real-world use with sophisticated handling of complex financial scenarios. Amended filings are handled automatically, non-December fiscal years are computed correctly, and Q4 data is reconstructed from 10-K plus 10-Q filings. But StockFit goes way beyond basic financial data! It includes rich economic models per company covering offerings, peers, operating levers, competitive advantages, flywheels, strategic initiatives, and failure modes. The ETF/MF exposure models cover mandate, portfolio construction, costs, sensitivities, and use cases, all designed to be AI-friendly for LLM workflows.

With over 250 million facts from 5 million filings, updated daily, StockFit API delivers the massive scale and freshness you need. Access it through a standard REST API or through the native MCP server for Claude, Cursor, and other AI tools. Whether you are building a valuation model, running backtests, or powering an AI-driven research platform, StockFit API gives you financial data you can actually model with!

Standardized Financials with No Taxonomy Drift

Say goodbye to messy, inconsistent financial data! StockFit API delivers standardized financials that are model-ready right out of the box. Revenue, expenses, net income, and all key metrics are presented in a clean, consistent format across every company and every period. The data is standardized to eliminate taxonomy drift, meaning you never have to worry about changing accounting labels or inconsistent field names. Every financial statement fact is normalized so your models just work, period after period, company after company!

Source-Cited Data Traceability

Every single data point in StockFit API comes with complete source traceability back to the original SEC filing! When you pull revenue or net income, the response includes the exact filing accession number where that fact originated. This is a game-changer for compliance, audit trails, and research validation. You can instantly verify any number against the source document, giving you and your users complete confidence in the data. No more black box financial data that you have to trust blindly!

Advanced Fiscal Period Handling

StockFit API handles the most complex fiscal scenarios automatically so you do not have to! Amended filings are detected and processed correctly, non-December fiscal year companies have their periods computed accurately, and Q4 data is intelligently reconstructed from 10-K plus 10-Q filings. This means you get clean, complete fiscal periods for every company regardless of how weird their reporting schedule is. Your backtests and valuation models will thank you when they work perfectly with companies like Apple, Microsoft, or any international firm with a non-standard fiscal year!

AI-Native MCP Server Integration

StockFit API is built for the AI era with native MCP server support for Claude, Cursor, and other AI tools! This means you can connect your AI workflows directly to SEC data without any complex middleware or custom connectors. The data is structured and formatted to be AI-friendly, making it perfect for LLM-powered research, automated analysis, and AI-driven investment platforms. Just plug in and let your AI agents access 250 million financial facts instantly!

Quantitative Backtesting and Strategy Development

Quantitative analysts and hedge fund researchers can use StockFit API to power their backtesting engines with clean, standardized financial data! Pull 10+ years of income statements, balance sheets, and cash flow data for thousands of companies with a single API call. The standardized format means your backtesting code does not need complex data cleaning or normalization steps. Build factor models, test trading strategies, and validate investment hypotheses with data you can actually trust. The source-cited traceability also makes it easy to verify specific data points when your models flag interesting anomalies!

AI-Powered Financial Research Platforms

Build the next generation of AI financial research tools with StockFit API as your data backbone! The MCP server integration makes it trivial to connect Claude, Cursor, or custom LLM agents directly to SEC filings data. Your AI can analyze company fundamentals, compare peer groups, evaluate competitive advantages, and even model failure modes using the rich economic models included in the API. Create research assistants that can answer complex financial questions, generate detailed company analyses, and surface insights that would take human analysts hours to uncover!

Valuation and Investment Analysis

Equity researchers and investment analysts can supercharge their valuation workflows with StockFit API! Pull standardized financials for any public company and feed them directly into DCF models, comparable company analysis, or LBO models. The sector-aware metrics help you compare companies within their proper context, while the economic models provide deep insights into competitive advantages, operating levers, and strategic initiatives. With data updated daily, you always have the latest filings for your most time-sensitive investment decisions!

ETF and Mutual Fund Exposure Analysis

Portfolio managers and risk analysts can use StockFit API to build comprehensive ETF and mutual fund exposure models! The API provides detailed models covering fund mandate, portfolio construction, costs, sensitivities, and use cases. Understand exactly which stocks your funds are holding, how concentrated their positions are, and what risks they are exposed to. This is invaluable for portfolio construction, risk management, and competitive analysis in the asset management space!

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

StockFit API pulls data directly from SEC XBRL filings with no derived middle layer, meaning every number is exactly what companies reported to the SEC! Most other APIs apply transformations or use third-party data providers that can introduce errors or inconsistencies. StockFit also handles amended filings correctly, detects restatements, and provides complete source traceability so you can always verify any fact against the original filing document. This direct-from-source approach eliminates the accuracy issues that plague cheap API tiers while avoiding the enterprise markups of traditional providers!

What companies and data types are covered by StockFit API?

StockFit API covers all public companies that file with the SEC, including US-listed companies and foreign private issuers that file through the EDGAR system! The API provides comprehensive financial statement data including income statements, balance sheets, and cash flow statements. Beyond fundamentals, you get ownership data, insider transactions, ETF and mutual fund exposure models, and rich economic models covering company offerings, peer groups, operating levers, competitive advantages, flywheels, strategic initiatives, and failure modes. With over 250 million facts from 5 million filings, the coverage is incredibly deep!

How does the MCP server integration work with AI tools?

StockFit API provides a native MCP (Model Context Protocol) server that connects directly to Claude, Cursor, and other AI tools! This means you can configure your AI assistant to access StockFit data without writing any custom integration code. The AI tool communicates with the MCP server using a standard protocol, and StockFit returns financial data in a format optimized for LLM consumption. Your AI agents can then query company financials, analyze trends, compare peer groups, and even run economic model analysis using natural language prompts!

How frequently is the data updated and what about historical data?

StockFit API data is updated daily to ensure you have access to the latest SEC filings as soon as they become available! The API provides extensive historical data going back years for most companies, allowing you to build comprehensive time series for backtesting and trend analysis. New filings are processed and available within hours of being published to EDGAR. The historical data is also reprocessed as needed to handle amended filings and restatements, ensuring your historical analysis always reflects the most accurate and up-to-date information!