Financial Datasets
Stock market infrastructure for AI agents providing real time SEC filings, financial statements, and institutional data via REST API and MCP server integration.
About Financial Datasets
FinancialDatasets.ai delivers specialized market data infrastructure engineered specifically for artificial intelligence agents and modern financial applications. The platform ingests SEC filings within seconds of publication and normalizes complex regulatory documents into machine readable JSON structures. Covering approximately seventeen thousand active and delisted United States tickers with over three decades of historical data, the service enables developers to build autonomous trading systems without maintaining expensive data pipelines.
The API distinguishes itself through native Model Context Protocol support, allowing Claude, Cursor, and other AI assistants to access income statements, balance sheets, and insider trading data directly through conversational interfaces. Unlike traditional financial data providers that prioritize human readable presentations, FinancialDatasets.ai optimizes every endpoint for large language model consumption with consistent field naming and section level access to filing text. This architecture proves essential for teams developing quantitative research platforms, portfolio management systems, and event driven trading infrastructure.
Key Features
- Real Time SEC Ingestion: Captures 10K, 10Q, 8K filings and Form four insider trades within seconds of publication with normalized JSON output.
- Section Level Access: Retrieves specific filing sections such as Item one A risk factors or Item seven management discussion without downloading complete documents.
- MCP Server Integration: Provides native Model Context Protocol compatibility enabling Claude Desktop and other AI agents to query financial data conversationally.
- Comprehensive Coverage: Includes financial statements, business segment breakdowns, geographic revenue splits, institutional ownership via thirteen F forms, and crypto price data.
- Thirty Plus Year History: Maintains extensive historical datasets spanning delisted securities and merged entities for backtesting strategies.
- High Throughput Design: Developer tier supports one thousand requests per minute with Pro and Enterprise levels offering unlimited access and redistribution licenses.
Pricing
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Developer: $200 per month Individual license with one thousand requests per minute, thirty plus years historical data, one hundred percent market coverage, and all core endpoints.
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Pro: $2,000 per month Includes data redistribution license, unlimited API requests, crypto data access, and full endpoint availability for commercial applications.
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Enterprise: Custom pricing Offers dedicated compute resources, personalized support channels, early access to new datasets, and custom data processing solutions.
Pricing last updated: February 27, 2026 at 7:40 AM
Use Cases
- AI financial agent development
- Quantitative trading strategy backtesting
- Portfolio management platform data layer
- SEC filing event driven trading systems
- Fintech application financial data infrastructure
Pros & Cons
Pros:
- Native MCP server support for AI assistant integration
- Section level SEC filing access reduces processing overhead
- Real time ingestion pipeline delivers data within seconds
Cons:
- Limited international market coverage focused on US equities
- Relatively new entrant with shorter track record than established providers
Integrations
Claude Desktop, Cursor, Windsurf, Model Context Protocol, Python, REST API, JSON
FAQ
Last edited
February 27, 2026 at 7:40 AM by Venkatraman C
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