StockFit API

StockFit API is a financial data platform built specifically for developers, quants, and research platforms who need direct, reliable access to SEC filing data without the usual compromises. If you have ever tried to build a financial model, run a backtest, or analyze company fundamentals using existing APIs, you have likely run into a frustrating choice: pay for cheap tiers that deliver inaccurate or incomplete data, or sign expensive enterprise contracts that drain your startup budget. StockFit fills that gap completely. The platform pulls financial data directly from SEC XBRL filings, meaning there is no derived middle layer and every single number is traceable back to its original filing. This gives you confidence that what you are modeling is accurate and auditable. StockFit covers fundamentals, ownership data, ETF and mutual fund exposure, insider transactions, and all types of filings. It handles complexities that other APIs ignore, such as amended filings, non-December fiscal years, and Q4 reconstructions from 10-K and 10-Q data. Beyond raw numbers, StockFit 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, the platform models mandate, portfolio construction, costs, sensitivities, and use cases in an AI-friendly format perfect for LLM workflows. With over 250 million facts, 5 million filings, and daily updates, StockFit is built for serious financial analysis. The API delivers standardized financials that are sector-aware and source-cited, making them immediately usable for valuation work and backtesting without requiring extensive data cleaning or normalization.

Direct SEC XBRL Data Extraction

StockFit pulls financial data directly from SEC XBRL filings, eliminating any derived or interpolated middle layer. Every single data point in the API response includes source references linking back to the original filing document. This traceability ensures that your models are built on auditable, verifiable information that regulators and auditors would accept. You can always confirm exactly where a number came from and which filing it belongs to.

Standardized and Model-Ready Financials

The API delivers financial statements that are standardized across all companies, removing taxonomy drift and inconsistent naming conventions. Income statements, balance sheets, and cash flow statements are presented with consistent field names and structures. This standardization means you can write your modeling code once and run it against any company in the database without custom mapping or data cleaning steps. The output is already structured for immediate use in valuation models and backtesting engines.

Complex Filing Handling

StockFit handles the complexities that other financial APIs ignore entirely. This includes proper treatment of amended filings, accurate reconstruction of Q4 data from 10-K and 10-Q filings, correct handling of companies with non-December fiscal year ends, and management of restated financials. These edge cases are common in real-world financial analysis and can break naive data pipelines. StockFit ensures your models remain accurate regardless of the filing quirks a company may have.

Rich Economic Models and AI-Ready Data

Beyond raw financial numbers, StockFit provides curated economic models for each company. These include offerings, peer comparisons, operating levers, competitive advantages, business flywheels, strategic initiatives, and failure modes. For ETF and mutual fund exposure, the platform models mandate details, portfolio construction methodology, cost structures, sensitivities, and use cases. All this data is formatted in an AI-friendly structure optimized for LLM workflows and automated analysis.

Quantitative Backtesting and Strategy Development

Quantitative analysts and algorithmic traders can use StockFit to build and backtest financial models with confidence. The standardized financials eliminate data cleaning overhead, while the source-cited data ensures every backtest result is built on accurate fundamentals. The API handles fiscal year complexities and amended filings, so your backtests reflect real-world financial reporting rather than simplified assumptions. This allows you to develop more robust trading strategies that perform reliably across different market conditions.

Fundamental Equity Research and Valuation

Equity researchers and analysts 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 ratios without requiring manual data extraction from SEC EDGAR. The economic models layer adds qualitative context including competitive advantages and strategic initiatives, enabling more comprehensive valuation reports. The API supports both individual company deep dives and broad market screening.

Portfolio and ETF Exposure Analysis

Asset managers and investment advisors can use StockFit to analyze ETF and mutual fund exposure in detail. The platform models fund mandates, portfolio construction methodologies, cost structures, and sensitivities to various market factors. This enables precise analysis of how different funds allocate capital, what their underlying exposures are, and how they might perform under different scenarios. The AI-friendly format makes it easy to integrate this data into automated portfolio management systems.

AI-Powered Financial Analysis and LLM Integration

Developers building AI-powered financial tools can use StockFit as a reliable data source for large language model workflows. The structured, standardized data with source citations is ideal for feeding into LLMs that need to generate financial analysis, answer investor questions, or produce research reports. The economic models provide rich context that helps AI systems understand business fundamentals beyond just the numbers. The API response format is designed to be immediately consumable by modern AI pipelines.

How does StockFit ensure the accuracy of its financial data?

StockFit pulls financial data directly from SEC XBRL filings, which are the official structured data submissions that companies file with the Securities and Exchange Commission. There is no derived middle layer or data interpolation. Every single data point in the API response includes a source reference linking back to the specific filing document and accession number. This means you can always trace any number back to its original source and verify it independently, giving you complete confidence in the accuracy of your models.

What types of filings and 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 currently contains over 250 million individual facts extracted from more than 5 million filings. Data is updated daily to ensure you always have access to the most recent financial information. The platform also handles complex filing types like amendments and restatements.

Can StockFit handle companies with non-standard fiscal years?

Yes, StockFit is specifically designed to handle companies with non-December fiscal year ends, which is a common challenge with other financial APIs. The platform correctly maps fiscal periods to the appropriate reporting calendar and ensures that Q4 data is properly reconstructed from 10-K and 10-Q filings. This means you can analyze companies like Apple (September fiscal year end) or Costco (August fiscal year end) without any data mapping errors or incorrect period assignments.

What is the pricing model for StockFit API?

StockFit offers a free API key that allows you to get started immediately with testing and development. The platform provides a playground environment where you can experiment with API calls and see sample responses before committing to a paid plan. For detailed pricing information including specific tiers, rate limits, and data volume allowances, you should visit the pricing page on the StockFit website or contact their sales team for enterprise options tailored to your specific use case and data needs.