Broader search coverage
Use several focused search paths and pages for each subject, with clear coverage status in every response.
AdverseSearch turns a person screening request into a structured, source-backed response for business systems. No manual review queue.
screening_result.jsonCOMPLETED{
"id": "0194d6b4-b7d0-7ce4-a9c8-6f2b3c24a281",
"status": "completed",
"outcome": "potential_match",
"failureCode": null,
"coverage": {
"complete": true,
"searchesCompleted": 6,
"sourcesReviewed": 11
},
"findings": [{
"category": "regulatory",
"eventStage": "enforcement",
"severity": "high",
"title": "Reported regulatory enforcement",
"summary": "A cited source reports an enforcement event for the screened name.",
"eventDate": null,
"identity": {
"confidence": "high",
"matchedAttributes": [
"dateOfBirth", "country"
],
"conflictingAttributes": []
},
"adverseRelevance": "high",
"sources": [{
"title": "Regulatory notice",
"url": "https://news.example/notice",
"domain": "news.example",
"publishedAt": null,
"excerpt": "Example source evidence."
}]
}]
}Adverse media is rarely a simple yes or no. The response keeps source coverage, identity support, event stage, and uncertainty visible.
Use several focused search paths and pages for each subject, with clear coverage status in every response.
See which details support a match and which details conflict, instead of receiving an unexplained score.
Every accepted finding includes links and short supporting excerpts from the pages that were reviewed.
Create asynchronous checks, poll a stable status resource, use idempotency keys, and track workspace usage.
Start with the identifiers you have. Optional fields help distinguish people with the same name.
Read the developer guideFirst and last name are required. Add DOB, location, phone, email, or other optional identifiers when available.
The service discovers candidate pages, reviews source content, and separates identity evidence from adverse relevance.
Use a stable outcome, findings, coverage, limitations, and source evidence in your own review workflow.
The API uses outcomes that preserve uncertainty: potential match, no verified matches, inconclusive, or search incomplete. A missing result is never presented as proof that a person is safe.
Use fictional or authorized test data in the public playground.