Identity & Credential Claim Verification

AI public record analysis combined with specialist expert review to verify claimed identities, roles, and credentials.

The Identity & Credential Claim Verification pipeline is designed for organisations that need to verify whether a named person actually holds the role, credentials, or affiliations they claim. It combines AI public record analysis with specialist expert review — two independent identity verification experts must agree before a verdict is issued. Use cases include hiring background checks, source verification in investigative journalism, and regulatory due diligence.

No file upload is required. All inputs are provided as context keys describing the person and the claims to be assessed. The pipeline runs two crowd experts in parallel and synthesises their assessments alongside the AI findings into a final verdict — a process that typically takes around 60 minutes.

Pipeline Details

Property	Value
Pipeline ID	`verify-identity-claim`
Tier	3
Estimated Duration	~60 min
Credit Cost	3,500 credits per run
Crowd Stages	Yes (2 `identity_verification` experts, 100% consensus)
Files Required	No files required

Required Inputs

Files

No files required.

Context Keys

Key	Required	Description
`person_name`	Required	Full name of the individual whose identity or credentials are being verified.
`claimed_role`	Optional	Claimed professional role or title.
`claimed_organization`	Optional	Organisation the person claims to be affiliated with.
`claimed_country`	Optional	Country of operation or nationality.
`claimed_credentials`	Optional	Degrees, certifications, or qualifications claimed.

Stages

Public Record Analysis (AI)

Searches public records, professional databases, academic registries, and open-source intelligence sources to corroborate or contradict the claimed identity, role, and credentials. The AI cross-references the supplied context keys against discoverable information — for example, checking whether the claimed organisation has a publicly listed employee matching the name and role, or whether the stated academic credentials appear in verifiable registries.

Expert Assessment (Expert Crowd)

Two workers with the identity_verification specialisation tag independently assess the AI findings and conduct their own checks. Both experts must reach the same verdict for the pipeline to return a definitive result — 100% consensus is required. If they disagree, the verdict will be inconclusive.

Verdict Synthesis (AI)

Aggregates the AI public record analysis and both expert assessments into a single final verdict with a confidence score and explanation. The synthesis stage weights the expert consensus heavily, as human specialists have access to verification channels and institutional knowledge not available to the AI.

Starting a Run

curl -X POST https://api.crowdee.ai/v2/projects/{projectId}/verification-runs \
  -H "X-API-Key: crw_YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "pipeline_id": "verify-identity-claim",
    "context": {
      "person_name": "Dr. Anna Weber",
      "claimed_role": "Chief Medical Officer",
      "claimed_organization": "Berlin University Hospital",
      "claimed_country": "DE",
      "claimed_credentials": "MD, PhD Epidemiology"
    }
  }'

Example Response

{
  "id": "run_01j9x...",
  "status": "completed",
  "verdict": "authentic",
  "confidence": 91,
  "pipeline_id": "verify-identity-claim",
  "scorecard": {
    "public_record_match": "pass",
    "expert_consensus": "pass",
    "credentials_verifiable": "pass"
  },
  "explanation": "Public records and institutional databases confirm the named individual holds the stated role and credentials at the specified organisation. Both identity verification experts reached the same conclusion independently."
}

This pipeline involves specialist expert workers and takes approximately 60 minutes. The 100% expert consensus requirement means both experts must agree — if they disagree, the verdict will be inconclusive.

No files are required. All inputs are provided as context keys. The more context you provide (role, organisation, country, credentials), the higher-quality the analysis.

Identity verification involves personal data. Ensure your use of this pipeline complies with applicable data protection law (GDPR Article 9 for special category data). See GDPR.