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POST
/
v3
/
database-validation
curl -X POST "https://verification.didit.me/v3/database-validation/" \
  -H "x-api-key: YOUR_API_KEY" \
  -F "issuing_state=IND" \
  -F "services=ind_aadhaar" \
  -F "consent=true" \
  -F "full_name=John Doe" \
  -F "date_of_birth=1990-01-01" \
  -F "personal_number=111111111111" \
  -F "pan=ABCDE1234F"
{
  "request_id": "req_01H…",
  "status": "Approved",
  "issuing_state": "IND",
  "match_type": "full_match",
  "validations": [
    {
      "outcome_code": "MATCH",
      "service_id": "ind_aadhaar",
      "service_name": "India Aadhaar (UIDAI)",
      "source_data": {
        "date_of_birth": "1990-01-01",
        "full_name": "John Doe",
        "identification_number": "SAMPLE-ID-12345"
      },
      "validation": {
        "date_of_birth": "full_match",
        "full_name": "full_match",
        "identification_number": "full_match"
      }
    }
  ]
}

Documentation Index

Fetch the complete documentation index at: https://docs.didit.me/llms.txt

Use this file to discover all available pages before exploring further.

Verifies the input Aadhaar number against UIDAI identity records. Didit exposes this service through POST /v3/database-validation/ so you can verify the submitted data against the authoritative source and receive normalized match results.

Coverage

  • Coverage: ~ 100%
  • Country: India
  • Service ID: ind_aadhaar
  • Data domain: Identity
  • Category: NationalIDRegistry

Inputs

FieldRequiredExample
full_nameYesJohn Doe
date_of_birthYes1990-01-01
personal_numberYes111111111111
panYesABCDE1234F
  • Required inputs: full_name, date_of_birth, personal_number, pan
  • Optional inputs:
  • Consent: Required
  • Workflow availability: Available in workflow
  • Coverage: ~ 100%
  • Price: $0.11 per successful query

Body parameters

issuing_state
string
required
ISO 3166-1 alpha-3 country code for this database service.Example: IND
services
string
required
Array containing this service ID. Pinning the service keeps the request scoped to this exact database.Example: ind_aadhaar
Explicit end-user consent for this service.Example: true
full_name
string
required
Full legal name to validate.Example: John Doe
date_of_birth
string
required
Date of birth in YYYY-MM-DD format.Example: 1990-01-01
personal_number
string
required
Country-specific personal identity number.Example: 111111111111
pan
string
required
Permanent Account Number.Example: ABCDE1234F

Input rules & validation notes

  • pan must use uppercase letters.
  • pan must match [A-Z]{5}\d{4}[A-Z].
  • personal_number must contain digits only; remove spaces, hyphens, and punctuation before sending the request.
  • personal_number must be exactly 12 characters long.

How to call it

curl -X POST "https://verification.didit.me/v3/database-validation/" \
  -H "x-api-key: YOUR_API_KEY" \
  -F "issuing_state=IND" \
  -F "services=ind_aadhaar" \
  -F "consent=true" \
  -F "full_name=John Doe" \
  -F "date_of_birth=1990-01-01" \
  -F "personal_number=111111111111" \
  -F "pan=ABCDE1234F"
{
  "request_id": "req_01H…",
  "status": "Approved",
  "issuing_state": "IND",
  "match_type": "full_match",
  "validations": [
    {
      "outcome_code": "MATCH",
      "service_id": "ind_aadhaar",
      "service_name": "India Aadhaar (UIDAI)",
      "source_data": {
        "date_of_birth": "1990-01-01",
        "full_name": "John Doe",
        "identification_number": "SAMPLE-ID-12345"
      },
      "validation": {
        "date_of_birth": "full_match",
        "full_name": "full_match",
        "identification_number": "full_match"
      }
    }
  ]
}

Returned data

The exact fields surfaced in source_data depend on what the registry returns. The generated example for ind_aadhaar currently documents this normalized shape:
  • date_of_birth
  • full_name
  • identification_number

Pricing & SLAs

India Aadhaar (UIDAI) queries are billed only when Didit receives a conclusive result from the validation source.
  • Per-call price: $0.11 USD.
  • Billing: per successful query. You are not charged when the registry is unreachable, when required fields are missing, or when the request is rejected before reaching the source.
  • Latency: typical p95 < 2 s.
  • Availability: 99.9% per quarter on Didit’s side; downstream source availability varies by country and dataset.

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