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StockFit API

StockFit API delivers structured, model-ready SEC data with sector-aware metrics for precise financial analysis and backtesting.

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About StockFit API

Welcome to the future of financial data access with StockFit API, where developers, quants, and research platforms can dive deep into SEC filing data without the usual headaches. Forget the cookie-cutter financial APIs that make you pick between low-cost tiers riddled with inaccuracies and those enterprise contracts that feel like a budget black hole. StockFit API is here to bridge that gap with seamless access to fundamentals, ownership insights, ETF/MF exposure, insider transactions, and direct filings—all sourced straight from SEC XBRL. Every number is traceable back to its original filing, giving you peace of mind and reliability. Designed for serious analysts, it even handles amended filings, non-December fiscal years, and reconstructs Q4 data from 10-K and 10-Q reports. With over 250 million facts and more than 5 million filings updated daily, your data needs are not just met—they're exceeded. Get ready for a powerful API that transforms raw financial data into structured, model-ready information.

Features of StockFit API

Direct Access to SEC Filings

No more middle layers or derived data. StockFit API pulls raw numbers directly from the SEC, ensuring every fact you work with is pure and traceable. This level of transparency is crucial for serious financial modeling and analysis.

Comprehensive Economic Models

Our rich economic models provide a 360-degree view per company, covering everything from strategic initiatives to competitive advantages. Whether you're analyzing offerings or assessing failure modes, StockFit equips you with the insights you need.

AI-Friendly Structures

StockFit API is designed with AI in mind. Its data structures are optimized for Large Language Model (LLM) workflows, making it a breeze to integrate with AI tools like Claude and Cursor, enhancing your analytics and modeling capabilities.

Standardized Financials

Say goodbye to taxonomy drift and hello to standardized financials that are model-ready. With our API, you can access income statements, balance sheets, and cash flow statements in a consistent format that makes financial analysis straightforward and reliable.

Use Cases of StockFit API

Quantitative Analysis

Quants can leverage StockFit API to access accurate and timely SEC data, enabling them to build sophisticated models and backtest investment strategies with confidence. The rich data set allows for comprehensive quantitative research.

Financial Reporting

For researchers and analysts, StockFit API offers streamlined access to the information needed for financial reporting. The direct links to source data ensure that every report is built on solid ground, minimizing the risk of errors.

Portfolio Management

Investment firms can utilize StockFit API to gain insights into ETF and mutual fund exposures, allowing for smarter portfolio construction and management. Understanding costs and sensitivities helps optimize investment strategies.

Academic Research

Academics studying financial markets can benefit immensely from the comprehensive data StockFit provides. The standardized financials and detailed economic models make it easier to conduct empirical research and publish findings that stand up to scrutiny.

Frequently Asked Questions

How often is the data updated?

StockFit API updates its data daily, ensuring that you have access to the most current and relevant information for your financial analyses.

What types of filings does StockFit API provide access to?

The API provides access to a wide range of SEC filings, including 10-Ks, 10-Qs, and insider transaction reports, giving you a holistic view of company performance.

Is there support for non-December fiscal years?

Absolutely! StockFit API is built to handle various fiscal year-end dates, ensuring that all data is computed correctly regardless of the company's reporting schedule.

Can I integrate StockFit API with AI tools?

Yes! StockFit API is designed to be AI-friendly, making it easy to integrate with popular AI tools like Claude and Cursor for advanced analytics and machine learning workflows.

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