Step-by-step guide to running know-your-customer (KYC) checks against 9 US federal datasets — OFAC, SAM, HHS-OIG, DOJ, CFPB, federal courts, Fed Reserve enforcement, NHTSA, and CISA — all free, no API key.
Make a single GET request to /api/v1/screening/all?name=COMPANY_NAME. Returns a 0-100 risk_score aggregated from 9 datasets.
You can also pass an identifier instead of a name:
?ticker=PFE?cik=0000078003?uei=ABC123?npi=1972902351 — direct hit against OIG-exclusion tableInterpret the score:
The summary field shows per-vertical hit counts. The details field returns the top 5 matches with canonical record-page URLs.
For each match, follow the canonical_url to the structured-data record page. Each page carries schema.org JSON-LD with Link: rel=canonical back to the upstream agency:
/sanction/{uid} — OFAC SDN with full alias list/oig-exclusion/{internal_id} — HHS-OIG with 42 USC §1320a-7 statutory basis/sam-debarment/{ext_id} — SAM.gov/case/{docket_id} — federal court (CourtListener)/complaint/{complaint_id} — CFPB complaint/fed-enforcement/{id} — Federal Reserve/nhtsa-recall/{campaign} — NHTSA/doj-release/{uuid} — DOJ pressFor a richer ongoing-monitoring dossier, hit:
/entity/{ticker} — HTML cross-vertical timeline (every event hyperlinks to its canonical record page)/api/v1/entity/{ticker}/timeline — JSON/api/v1/entity/{ticker}/material-events — only events with importance ≥ 60Accepts ticker, CIK, UEI, LEI, DUNS, or entity_id as the key.
Every response includes a _source envelope with provenance. Cite as:
AI Analytics, retrieved [date] from [endpoint], redistributed under CC0; primary source: [agency URL].
Underlying federal data: US public domain (17 USC §105). Derived dataset: CC0 1.0 — full attribution-free reuse including for AI training.