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datavidence

datavidence-financials

Official

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    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Standardizes XBRL financial data from US SEC and European ESEF filings for LLM agents, enabling querying normalized financial facts like revenue and total assets across issuers and taxonomies.
      Apache 2.0
    • A
      license
      A
      quality
      B
      maintenance
      Provides access to SEC EDGAR financial data, enabling AI agents to fetch company filings, financial metrics, and narrative sections. It supports natural-language metric searching and extracts structured data from 10-K, 10-Q, and 8-K reports.
      6
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Give your AI agent live SEC EDGAR data: company financials, insider trades, 8-K events, 13F holdings, and the raw filings stream — all normalized to clean JSON, every number traceable back to its sec.gov source filing.
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables 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.
      6
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Query 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.
      4
      MIT

    TDQS

    A4.4/5.0

    Scored across 4 tools

    Disambiguation4/5

    get_financials and get_financials_batch are related but clearly separated by single-company vs multi-company use; list_filings and get_usage serve distinct purposes. The only potential confusion is batch vs single financials, but the descriptions make the intended use explicit.

    Naming Consistency4/5

    Three tools follow a consistent get_* pattern, while list_filings uses list_ instead of get_. This is a minor deviation, but the naming remains predictable and readable overall.

    Tool Count5/5

    Four tools is well-scoped for a financial data server: usage monitoring, single-company financials, batch financials, and filing discovery each serve a necessary and distinct role. No tool feels redundant or missing as a core primitive.

    Completeness4/5

    The tool set covers the main workflow of discovering filings and retrieving normalized financial statements, plus a batch variant and quota monitoring. Minor gaps exist, such as no explicit company search or multi-year time-series retrieval, but these are workarounds rather than dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues