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

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.
Pro: $2,000 per month Includes data redistribution license, unlimited API requests, crypto data access, and full endpoint availability for commercial applications.
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

What is the Model Context Protocol and how does FinancialDatasets.ai use it?

The Model Context Protocol is an open standard that enables AI assistants to connect directly to data sources. FinancialDatasets.ai provides an official MCP server that allows Claude, Cursor, and other compatible AI agents to query stock prices, financial statements, and SEC filings through natural language commands rather than manual API calls.

How quickly are SEC filings available through the API?

Filings are typically ingested and normalized within seconds of publication on the SEC EDGAR system. The platform monitors EDGAR continuously and structures the data into machine readable JSON format immediately upon release.

Does the API provide access to full text of filings or just structured data?

Both. The API offers structured numerical data from financial statements as well as section level access to the underlying text of filings. You can retrieve specific sections like Item one A Risk Factors or Item seven Management Discussion without downloading the entire filing document.

What is the difference between the Developer and Pro plans?

The Developer plan costs $200 per month and includes an individual license with one thousand requests per minute and access to core endpoints. The Pro plan costs $2,000 per month and adds unlimited API requests, a data redistribution license for commercial use, and access to cryptocurrency data endpoints.

Which programming languages are supported?

The REST API uses standard HTTPS and JSON, making it compatible with any programming language. The MCP server requires Python three point ten or higher and uses the uv package manager for installation.

Categories:

API Directory Financial APIs