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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=PER" \
  -F "services=per_dni" \
  -F "personal_number=11111111"

{
  "request_id": "req_01H…",
  "status": "Approved",
  "issuing_state": "PER",
  "match_type": "full_match",
  "validations": [
    {
      "outcome_code": "MATCH",
      "service_id": "per_dni",
      "service_name": "Peru - DNI verification",
      "source_data": {
        "first_name": "John",
        "identification_number": "SAMPLE-ID-12345",
        "last_name": "Doe",
        "maternal_name": "Doe Maternal",
        "paternal_name": "Doe Paternal",
        "verification_letter": "G",
        "verification_number": 2
      },
      "validation": {
        "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 Peruvian DNI against the RENIEC civil registry. 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: —
  • Country: Peru
  • Service ID: per_dni
  • Data domain: Identity
  • Category: NationalIDRegistry

​
Inputs

FieldRequiredExample
personal_numberYes11111111
first_nameNoJohn
last_nameNoDoe
  • Required inputs: personal_number
  • Optional inputs: first_name, last_name
  • Consent: Not required
  • Workflow availability: Available in workflow
  • Coverage: —
  • Price: $0.20 per successful query

​
Body parameters

​
issuing_state
string
required
ISO 3166-1 alpha-3 country code for this database service.Example: PER
​
services
string
required
Array containing this service ID. Pinning the service keeps the request scoped to this exact database.Example: per_dni
​
personal_number
string
required
Country-specific personal identity number.Example: 11111111
​
first_name
string
Given name to validate.Example: John
​
last_name
string
Family name to validate.Example: Doe

​
Input rules & validation notes

  • Peruvian DNI (exactly 8 digits)
  • personal_number must contain digits only; remove spaces, hyphens, and punctuation before sending the request.
  • personal_number must be exactly 8 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=PER" \
  -F "services=per_dni" \
  -F "personal_number=11111111"

{
  "request_id": "req_01H…",
  "status": "Approved",
  "issuing_state": "PER",
  "match_type": "full_match",
  "validations": [
    {
      "outcome_code": "MATCH",
      "service_id": "per_dni",
      "service_name": "Peru - DNI verification",
      "source_data": {
        "first_name": "John",
        "identification_number": "SAMPLE-ID-12345",
        "last_name": "Doe",
        "maternal_name": "Doe Maternal",
        "paternal_name": "Doe Paternal",
        "verification_letter": "G",
        "verification_number": 2
      },
      "validation": {
        "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 per_dni currently documents this normalized shape:
  • first_name
  • identification_number
  • last_name
  • maternal_name
  • paternal_name
  • verification_letter
  • verification_number

​
Pricing & SLAs

Peru - DNI verification queries are billed only when Didit receives a conclusive result from the validation source.
  • Per-call price: $0.20 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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