fairquery-edgar
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Alternatives to fairquery-edgar
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Related Servers
- AlicenseAqualityBmaintenanceQuery SEC EDGAR for company filings, financial data, and executive disclosures. Search by company name or ticker, retrieve 10-K/10-Q/8-K filings, and extract structured financials — backed by the official SEC EDGAR API, built for AI agents.4MIT
- -licenseNot gradedqualityNot gradedmaintenanceEnables deep analysis of SEC EDGAR filings through universal company search, document content extraction, and advanced filing search capabilities. Provides AI-ready access to business descriptions, risk factors, financial statements, and full-text search across any public company's SEC documents.-
- AlicenseNot gradedqualityCmaintenanceEnables searching SEC EDGAR for companies, retrieving recent filings (e.g., 10-K, 10-Q), and accessing structured XBRL financial facts.180 npmMIT
- FlicenseNot gradedqualityCmaintenanceEnables AI applications to search SEC company profiles by ticker, name, or CIK through a single MCP endpoint, returning structured identity, industry, exchange, filing-count data, official source links, and retrieval timestamps.-
- AlicenseAqualityBmaintenanceEnables AI agents to query US public company financial data from SEC filings, with tools for resolving tickers, listing filings, retrieving financial concepts, comparing companies, extracting filing sections, and full-text search. It surfaces data ambiguities like tag variations, restatements, and fiscal-year misalignment rather than hiding them.6MIT
- AlicenseAqualityBmaintenanceEnables AI agents to research US public company filings, financials, and insider transactions using SEC EDGAR data, with no API keys required. Provides tools for company lookup, recent filings, full-text search, financial facts, and insider activity.51MIT
TDQS
Scored across 7 tools
Each tool has a clearly distinct resource+action: identifier resolution, filing listing, filing index, document text, single-company facts, cross-company concept frames, and bulk export. The only near-overlap (edgar_get_company_facts vs edgar_get_concept_across_companies) is explicitly scoped as single-company time series vs cross-company single concept, with detailed WHEN NOT TO USE notes, so misselection is unlikely.
All seven tools use the same edgar_ snake_case prefix followed by a verb_noun phrase (resolve_company, list_filings, get_filing_index, get_company_facts, get_concept_across_companies, get_filing_document, batch_export). The pattern is predictable and readable throughout, with only the minor verb variation of batch_export.
Seven tools is well-scoped for a read-only SEC EDGAR data server, with each tool covering a distinct retrieval mode. No redundant or filler tools are present, and the free/paid split is handled by a single dedicated export tool rather than duplicated endpoints.
Core workflows are covered end to end: resolve identifiers, list filings, inspect filing indexes, read document text, and pull XBRL facts for one or many companies with a bulk paid option. Notable gaps remain, such as EDGAR full-text search across filings and free multi-company filing retrieval, but agents can largely work around these.