Edgar
Provides a Model Context Protocol (MCP) server for deep financial document analysis and content extraction from the SEC EDGAR database.
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The Edgar service acts as a powerful Model Context Protocol (MCP) server designed to interact with the SEC EDGAR database, facilitating comprehensive financial document analysis and content extraction. It offers universal company search capabilities, enabling users to find any public company by name, ticker, or partial match without relying on hardcoded lists. Beyond basic search, it allows for deep document analysis, extracting critical information such as business descriptions, risk factors, financial statements, and management discussions, while also supporting full-text search within SEC filings. The service is built to be AI-ready, providing structured responses suitable for integration with AI query engines and financial analysis applications.
Características Principales
- AI-ready API endpoints for structured data extraction
- Deep Document Analysis for business descriptions, risk factors, financial statements, and MD&A
- Advanced Filing Search with date, form type, and content filtering
- Full-text search within any SEC filing
- Universal Company Search by name, ticker, or partial match
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Casos de Uso
- Monitoring compliance by extracting specific company disclosures
- Conducting investment research with deep access to public company data
- Building financial analysis tools and platforms
- Developing AI applications that require SEC filing data
