datavidence-financials
OfficialRelated Servers
Alternatives to datavidence-financials
No user-submitted related servers found.
Related Servers
AlicenseNot gradedqualityCmaintenanceStandardizes 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- AlicenseAqualityBmaintenanceProvides 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.6MIT
- AlicenseNot gradedqualityBmaintenanceGive 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
- AlicenseAqualityCmaintenanceEnables 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
- FlicenseNot gradedqualityCmaintenanceProvides AI assistants direct access to SEC EDGAR filing data — financials, filings, and filing text — with no API key required.-
- 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
TDQS
Scored across 4 tools
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.
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.
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.
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.