StockFit API

StockFit API is the financial data infrastructure built for developers, quants, and research platforms who demand direct access to SEC filing data without the usual tradeoffs. The market has long forced a painful choice: settle for cheap API tiers riddled with accuracy issues and taxonomy drift, or lock yourself into enterprise contracts that drain a startup's runway before you've even built your first model. StockFit obliterates this false dichotomy by pulling every single data point directly from SEC XBRL filings, with no derived middle layer, no opaque transformations, and every number traceable back to its original source document. This means you get fundamentals, ownership data, ETF and mutual fund exposure, insider transactions, and full filing text all from one unified API that scales with your ambition.

What sets StockFit apart is the engineering rigor applied to real-world financial data challenges. Amended filings are handled intelligently, non-December fiscal years are computed correctly, and Q4 figures are reconstructed from 10-K plus 10-Q combinations so you never have to guess or manually reconcile. Beyond raw numbers, StockFit delivers rich economic models per company covering offerings, competitive peers, operating levers, competitive advantages, flywheels, strategic initiatives, and failure modes. ETF and mutual fund exposure models go deeper with mandate analysis, portfolio construction details, cost structures, sensitivities, and specific use cases. With over 250 million facts across 5 million filings, updated daily, StockFit is purpose-built for valuation, backtesting, and AI-driven financial workflows. Whether you are building a quantitative trading system, a research platform, or integrating financial data into LLM-powered analysis tools, StockFit gives you the clean, standardized, source-cited data you need to model with confidence.

Direct SEC XBRL Data with Full Traceability

Every financial fact delivered by StockFit API is pulled directly from SEC XBRL filings, not from a derived or normalized middle layer that introduces errors and latency. Each data point includes its source filing identifier, allowing you to trace any number back to the original SEC document. This eliminates the taxonomy drift that plagues other APIs, where changing accounting standards or company-specific reporting choices cause data inconsistencies. You get the raw truth, exactly as reported, standardized for modeling but never transformed beyond recognition.

Intelligent Fiscal Year and Period Handling

StockFit handles the messy reality of corporate financial reporting so you do not have to. Amended filings are automatically detected and incorporated, non-December fiscal years are computed with correct period boundaries, and Q4 figures are intelligently reconstructed from 10-K and 10-Q combinations when direct Q4 data is not available. This means your models always have complete, accurate time series data without manual reconciliation or edge-case coding on your end.

Rich Economic and Exposure Models

Beyond standardized financials, StockFit delivers deep analytical models for every company. Economic models cover offerings, competitive peers, operating levers, competitive advantages, flywheels, strategic initiatives, and failure modes. ETF and mutual fund exposure models go further with mandate analysis, portfolio construction details, cost structures, sensitivities, and specific use cases. These models are AI-friendly, structured for LLM workflows, and ready to power sophisticated analysis without additional data engineering.

REST API and Native MCP Server Integration

StockFit provides a robust REST API for traditional integration, plus a native MCP (Model Context Protocol) server for seamless integration with Claude, Cursor, and other AI tools. This dual-access approach means you can build traditional applications with the REST API while simultaneously enabling AI agents to query financial data directly within their native environments. Daily updates ensure your data stays current, with over 250 million facts across 5 million filings available on demand.

Quantitative Trading and Backtesting Systems

Quantitative traders and hedge funds can use StockFit to build and backtest trading strategies using standardized financial data that is directly traceable to SEC filings. The clean time series, correct fiscal period handling, and sector-aware metrics eliminate data cleaning overhead, allowing quants to focus on alpha generation rather than data reconciliation. The economic models provide additional context for factor construction and risk assessment.

AI-Powered Financial Research Platforms

Research platforms building LLM-based financial analysis tools can leverage StockFit's AI-friendly data structures and native MCP server integration. The economic models, exposure analysis, and source-cited facts enable AI agents to answer complex financial questions with confidence, citing specific filings and providing transparent reasoning. This is ideal for platforms that want to offer institutional-grade financial analysis without building the underlying data infrastructure.

Startup and Fintech Financial Applications

Startups building financial applications, from portfolio trackers to investment analytics tools, can use StockFit to access institutional-quality data without enterprise contracts or minimum commitments. The scalable REST API and flexible pricing model mean you can start small and grow as your user base expands. The standardized financials and rich models allow you to ship features faster, with data quality that rivals established players.

Valuation and Fundamental Analysis Workflows

Analysts and valuation professionals can use StockFit to automate fundamental analysis across thousands of companies. The standardized financials, sector-aware metrics, and source-cited economic models streamline the valuation process, from comparable company analysis to discounted cash flow modeling. The ability to trace every number back to its original filing adds credibility to investment memos and research reports.

How does StockFit API handle amended filings and restated financials?

StockFit automatically detects and incorporates amended filings into the data stream. When a company files an amendment, the API updates the relevant facts and maintains the original filing reference for full traceability. This ensures your models always reflect the most current reported data without manual intervention, while preserving the audit trail back to source documents.

What is the difference between StockFit's standardized financials and raw SEC XBRL data?

StockFit's standardized financials are derived directly from SEC XBRL data but organized into consistent, model-ready structures. Unlike raw XBRL, which uses varying taxonomies and labels across companies and time periods, StockFit normalizes these into consistent field names and structures while maintaining full traceability to the original filing. This means no taxonomy drift, no manual mapping, and no data cleaning.

Can StockFit API be used with AI tools like Claude or Cursor?

Yes, StockFit provides a native MCP (Model Context Protocol) server that integrates directly with Claude, Cursor, and other AI tools that support the protocol. This allows AI agents to query financial data, access economic models, and retrieve source-cited facts within their native workflow environments. The REST API is also available for traditional integration.

How frequently is the data updated, and what is the coverage?

StockFit updates its data daily, with over 250 million financial facts across more than 5 million SEC filings. Coverage includes all publicly traded companies filing with the SEC, with data going back multiple years. The API covers fundamentals, ownership data, ETF and mutual fund exposure, insider transactions, and full filing text, all with source citations.

StockFit API offers a tiered pricing model designed to scale with your usage. A free tier is available for exploration and development, providing limited API calls and access to core financial data. Paid tiers start at competitive monthly rates for individual developers and small teams, with higher tiers for growing startups and enterprise plans for large-scale deployments. Each tier includes increasing API call limits, access to advanced features like economic models and exposure analysis, and priority support. Visit the StockFit website for current pricing details and to compare plans.