Didit Database Validation

Didit Database Validation API

Overview

Verifies personal data and identity documents against trusted government and financial databases. Prevents synthetic identity fraud and ensures identity authenticity.

Key constraints:

• Requires at least the national ID/document number for the target country
• Coverage: 18 countries (primarily Latin America + Spain)
• Results: full_match, partial_match, or no_match
• Only charged per successful query — no charge if insufficient data

Matching methods:

API Reference: https://docs.didit.me/reference/database-validation-api

Authentication

All requests require x-api-key header. Get your key from Didit Business Console → API & Webhooks.

Endpoint

POST https://verification.didit.me/v3/database-validation/

Headers

Body (JSON)

The id_number field auto-maps to the correct country-specific field:

Example

import requests

response = requests.post(
    "https://verification.didit.me/v3/database-validation/",
    headers={"x-api-key": "YOUR_API_KEY", "Content-Type": "application/json"},
    json={
        "id_number": "12345678",
        "first_name": "Carlos",
        "last_name": "Garcia",
        "issuing_state": "PER",
    },
)
print(response.json())

const response = await fetch("https://verification.didit.me/v3/database-validation/", {
  method: "POST",
  headers: { "x-api-key": "YOUR_API_KEY", "Content-Type": "application/json" },
  body: JSON.stringify({
    id_number: "12345678",
    first_name: "Carlos",
    last_name: "Garcia",
    issuing_state: "PER",
  }),
});

Response (200 OK)

{
  "request_id": "a1b2c3d4-...",
  "database_validation": {
    "status": "Approved",
    "match_type": "full_match",
    "issuing_state": "PER",
    "validation_type": "1x1",
    "screened_data": {
      "personal_number": "12345678",
      "first_name": "Carlos",
      "last_name": "Garcia"
    },
    "validations": {
      "full_name": "full_match",
      "identification_number": "full_match"
    }
  }
}

Status Values & Handling

Error Responses

Matching Logic

Name Matching

Individual name components use 70% Levenshtein threshold. Example: "Christophel" vs "Christopher" = Full Match; "Chris" vs "Christopher" = No Match.

1x1 Decision

2x2 Decision

Requires matching against 2 independent data sources:

DOB and ID number matching is exact only — no fuzzy matching.

Warning Tags

When COULD_NOT_PERFORM_DATABASE_VALIDATION fires, session goes to "In Review". Validation auto-retriggers once missing data is provided.

Supported Countries