Skip to main content
Glama
datavidence

datavidence-financials

Official

Related Servers

Alternatives to datavidence-financials

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      D
      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
      50 PyPI
      MIT
    • A
      license
      Not graded
      quality
      C
      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.
      30 PyPI
      MIT
    • A
      license
      A
      quality
      B
      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
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to look up SEC company fundamentals point in time: what a company first reported, what was known on any given date, and which values were later restated, with the filing behind each value. Supports querying history over time, tracing every vintage of a period, and resolving measures such as revenue or EPS across the XBRL tags a company has used.
      216 npm
      MIT

    TDQS

    A4.7/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: company lookup, filing discovery, single financials, batch financials, restatement history, and quota monitoring. The descriptions explicitly disambiguate the most similar tools, such as get_financials versus get_revisions.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun snake_case pattern: get_financials, list_filings, get_financials_batch, get_revisions, search_companies, get_usage. The batch variant is clearly a modifier of get_financials rather than a breaking convention.

    Tool Count5/5

    Six tools is well-scoped for a financial data server. Each tool earns its place: lookup, filing discovery, single retrieval, batch retrieval, revision history, and usage monitoring, with no meaningful redundancy.

    Completeness5/5

    The toolset covers the full natural workflow: resolve identifiers with search_companies, discover available filings with list_filings, retrieve financials individually or in batch, inspect restatements with get_revisions, and track quota with get_usage. No critical dead ends exist within the stated SEC EDGAR normalized-financials domain.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues