fda_suggest_subsidiaries

shallow

io.github.medley/fda-data · Verify this server

Discover subsidiary and related company names using FDA datasets first, then supplement with external corporate hierarchy sources (SEC EDGAR Exhibit 21 and GLEIF) when available. Costs 2 credits. Returns FDA name candidates, evidence-backed company-record suggestions, EDGAR subsidiaries, GLEIF subsidiaries, existing aliases, and facility coverage stats. The coverage.unlinked_feis count indicates how many facilities may be missing from the current alias set. The workflow is conservative and explainable: it validates candidates against FDA company records instead of auto-linking them. Note: EDGAR and GLEIF may lag recent acquisitions or divestitures, so missing external results do not rule out FDA-visible subsidiaries. Recommended workflow: 1. fda_suggest_subsidiaries, 2. fda_link_subsidiaries for distinct child companies or fda_save_aliases for true same-company variants, 3. fda_manufacturing_risk_summary or fda_search_family_facilities. Related: fda_link_subsidiaries (persist explicit family links), fda_save_aliases (persist same-entity names), fda_manufacturing_risk_summary (family-aware company rollup), fda_search_family_facilities (family-aware FEI search).

100.0/100

1 trials · measured 8 days ago

fda_suggest_subsidiaries scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.medley/fda-data, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote
Credential class
self-provisionable
Category
Communication
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-08-25100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: fda_suggest_subsidiaries
[![Vouch score](https://vouch.tools/api/tools/1c0c12bf-515c-42c1-b7ad-720a6347f980/badge.svg)](https://vouch.tools/tools/1c0c12bf-515c-42c1-b7ad-720a6347f980)
fda_suggest_subsidiaries — Vouch