Screen any name against the world's watchlists — on an engine you actually own.

Every hit is evidenced

Not a naked link. Each hit carries the headline, publisher, date, a FATF-style category (financial crime, cyber, regulatory, high-risk) and the person entity that matched — so an analyst can triage without clicking out, and an auditor can resolve it after the link rots.

“We didn't check” ≠ “we found nothing”

Every response carries an explicit status. No evidence for a subject yet? You get Unavailable, never a clean pass. A control that silently reports “no adverse media” when it never looked is 100% false negatives dressed as coverage — we refuse to ship that.

A common name can't clear the bar alone

Names bind as an ordered, adjacent span — never a bag of tokens that merges two people into one. Above that sits a rarity gate from our own 490,072-name corpus: on a high-collision surname, a name match alone is never accepted as identification. Precision lever and fairness control at once — a matcher that floods on common names discriminates by surname.

No sentiment gate — and here's why

Scoring “how negative” an article sounds is the obvious move; we measured it failing. A tone gate discards 44% of genuinely AML-relevant articles — laundering indictments read in neutral prose, while a live sample's most negative stories were a prison riot, a depression feature and a celebrity death. Zero predicate offences. We capture tone for display, never for a decision.

Measured, with its caveats

On subjects we've already fetched, at the shipped threshold (0.7): 38.9% recall (14 of 36 positives) and 100% precision on common names (15 of 15). Reading the entities GDELT already extracted — not the headline alone — more than doubled recall, from 16.7% (6 of 36) to 38.9%, while holding common-name precision at 100%: better evidence, not a lower bar.

That recall is the matcher's quality on evidence we hold — not the coverage you get on an arbitrary name today. Coverage is still building as the prefetch fills; a fresh subject returns Unavailable until then, never a false clean. The set is small (36 positives, 15 common-name negatives) — indicative, not a number to tune a compliance control on. Rare names: 1 of 2 (n=2). We publish the curve, not a slogan.

Zero commercial data feeds

No World-Check, LexisNexis, Dow Jones or ComplyAdvantage. Adverse media is open GDELT; sanctions and PEP come direct from the primary publishers (UN, OFAC, EU, UK, Wikidata). That's exactly why we can let you self-host the whole thing and price it in the open — no per-lookup licence rides behind our API.