curl -X POST "https://verification.didit.me/v3/database-validation/" \
-H "x-api-key: YOUR_API_KEY" \
-F "issuing_state=BRA" \
-F "services=bra_residential" \
-F "vendor_data=user-1234" \
-F "first_name=John" \
-F "last_name=Doe" \
-F "date_of_birth=1990-01-01" \
-F 'address={"street_1":"123 Sample Street","street_2":"Unit 4","city":"Sample City","region":"Sample State","postal_code":"10001","country":"US"}' \
-F "tax_number=11111111111"
{
"request_id": "req_01H…",
"status": "Approved",
"issuing_state": "BRA",
"match_type": "full_match",
"validations": [
{
"outcome_code": "MATCH",
"service_id": "bra_residential",
"service_name": "Brazil Residential",
"source_data": {
"address": "123 Sample Street",
"date_of_birth": "1990-01-01",
"first_name": "John",
"identification_number": "SAMPLE-ID-12345",
"last_name": "Doe"
},
"validation": {
"address": "full_match",
"date_of_birth": "full_match",
"full_name": "full_match",
"identification_number": "full_match"
}
}
]
}
{
"request_id": "req_01H…",
"status": "In Review",
"issuing_state": "BRA",
"match_type": "partial_match",
"validations": [
{
"outcome_code": "PARTIAL_MATCH",
"service_id": "bra_residential",
"service_name": "Brazil Residential",
"source_data": {
"address": "123 Sample Street",
"date_of_birth": "1990-01-01",
"first_name": "John",
"identification_number": "SAMPLE-ID-12345",
"last_name": "Doe"
},
"validation": {
"address": "full_match",
"date_of_birth": "full_match",
"full_name": "no_match",
"identification_number": "full_match"
}
}
]
}
{
"request_id": "req_01H…",
"status": "Declined",
"issuing_state": "BRA",
"match_type": "no_match",
"validations": [
{
"outcome_code": "NO_MATCH",
"service_id": "bra_residential",
"service_name": "Brazil Residential",
"source_data": {
"address": "NO_MATCH",
"date_of_birth": "NO_MATCH",
"full_name": "NO_MATCH",
"identification_number": "NO_MATCH"
},
"validation": {
"address": "no_match",
"date_of_birth": "no_match",
"full_name": "no_match",
"identification_number": "no_match"
}
}
]
}
🇧🇷 Brazil
Brazil Residential
Verifies against a combined database of electoral registrations. Authoritative real-time identity lookup for Brazil. Real-time lookup, pay-per-call.
POST
/
v3
/
database-validation
/
curl -X POST "https://verification.didit.me/v3/database-validation/" \
-H "x-api-key: YOUR_API_KEY" \
-F "issuing_state=BRA" \
-F "services=bra_residential" \
-F "vendor_data=user-1234" \
-F "first_name=John" \
-F "last_name=Doe" \
-F "date_of_birth=1990-01-01" \
-F 'address={"street_1":"123 Sample Street","street_2":"Unit 4","city":"Sample City","region":"Sample State","postal_code":"10001","country":"US"}' \
-F "tax_number=11111111111"
{
"request_id": "req_01H…",
"status": "Approved",
"issuing_state": "BRA",
"match_type": "full_match",
"validations": [
{
"outcome_code": "MATCH",
"service_id": "bra_residential",
"service_name": "Brazil Residential",
"source_data": {
"address": "123 Sample Street",
"date_of_birth": "1990-01-01",
"first_name": "John",
"identification_number": "SAMPLE-ID-12345",
"last_name": "Doe"
},
"validation": {
"address": "full_match",
"date_of_birth": "full_match",
"full_name": "full_match",
"identification_number": "full_match"
}
}
]
}
{
"request_id": "req_01H…",
"status": "In Review",
"issuing_state": "BRA",
"match_type": "partial_match",
"validations": [
{
"outcome_code": "PARTIAL_MATCH",
"service_id": "bra_residential",
"service_name": "Brazil Residential",
"source_data": {
"address": "123 Sample Street",
"date_of_birth": "1990-01-01",
"first_name": "John",
"identification_number": "SAMPLE-ID-12345",
"last_name": "Doe"
},
"validation": {
"address": "full_match",
"date_of_birth": "full_match",
"full_name": "no_match",
"identification_number": "full_match"
}
}
]
}
{
"request_id": "req_01H…",
"status": "Declined",
"issuing_state": "BRA",
"match_type": "no_match",
"validations": [
{
"outcome_code": "NO_MATCH",
"service_id": "bra_residential",
"service_name": "Brazil Residential",
"source_data": {
"address": "NO_MATCH",
"date_of_birth": "NO_MATCH",
"full_name": "NO_MATCH",
"identification_number": "NO_MATCH"
},
"validation": {
"address": "no_match",
"date_of_birth": "no_match",
"full_name": "no_match",
"identification_number": "no_match"
}
}
]
}
Verifies against a combined database of electoral registrations. 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: ~ 95%
- Country: Brazil
- Service ID:
bra_residential - Data domain: Address
- Category: Residential
Inputs
| Field | Required | Example |
|---|---|---|
first_name | Yes | John |
last_name | Yes | Doe |
date_of_birth | Yes | 1990-01-01 |
address.street_1 | Yes | 123 Sample Street |
address.postal_code | Yes | 10001 |
tax_number | Yes | 11111111111 |
address.street_2 | No | Unit 4 |
address.city | No | Sample City |
address.region | No | Sample State |
vendor_data | No | user-1234 |
- Required inputs:
first_name,last_name,date_of_birth,address.street_1,address.postal_code,tax_number - Optional inputs:
address.street_2,address.city,address.region,vendor_data - Consent: Not required
- Workflow availability: Available in workflow
- Coverage: ~ 95%
- Price: $0.35 per successful query
Body parameters
string
default:"BRA"
required
ISO 3166-1 alpha-3 country code for this database service.Example:
BRAstring
default:"bra_residential"
required
Array containing this service ID. Pinning the service keeps the request scoped to this exact database.Example:
bra_residentialstring
default:"John"
required
Given name to validate.Example:
Johnstring
default:"Doe"
required
Family name to validate.Example:
Doestring
default:"1990-01-01"
required
Date of birth in
YYYY-MM-DD format.Example: 1990-01-01object
required
Structured residential address object. Use
street_1, street_2, city, region, postal_code, and country. A complete legacy address string is still accepted but not recommended.Example: {"street_1":"123 Sample Street","street_2":"Unit 4","city":"Sample City","region":"Sample State","postal_code":"10001","country":"US"}string
default:"11111111111"
required
Tax or fiscal identification number.Example:
11111111111string
default:"user-1234"
Your stable user reference for this person, such as your internal user ID. Didit uses it to link standalone checks to the same end user and reduce duplicate-detection noise.Example:
user-1234Input rules & validation notes
- Brazilian CPF (exactly 11 digits)
tax_numbermust contain digits only; remove spaces, hyphens, and punctuation before sending the request.tax_numbermust be exactly 11 characters long.- For address services, send structured address fields instead of a single
addressstring when possible. address.street_1is the street address, including street number and street type.address.street_2is apartment, unit, building, floor, or extra address line. Send it only when you have it.address.cityis city, suburb, district, locality, or neighborhood.address.regionis state, province, region, or town.address.postal_codeis postcode or postal code.- Address-based database services require at least street address and postal code; requests rejected before source lookup are not charged.
How to call it
curl -X POST "https://verification.didit.me/v3/database-validation/" \
-H "x-api-key: YOUR_API_KEY" \
-F "issuing_state=BRA" \
-F "services=bra_residential" \
-F "vendor_data=user-1234" \
-F "first_name=John" \
-F "last_name=Doe" \
-F "date_of_birth=1990-01-01" \
-F 'address={"street_1":"123 Sample Street","street_2":"Unit 4","city":"Sample City","region":"Sample State","postal_code":"10001","country":"US"}' \
-F "tax_number=11111111111"
Every successful call returns HTTP 200. The outcome_code field tells you what actually happened — distinguishing, for example, a real biometric mismatch (BIOMETRIC_NO_MATCH) from a selfie that could not be read (BIOMETRIC_IMAGE_UNUSABLE). The status shown is the default feature status; your configured Partial Match / No Match actions can override it.MATCH — The registry confirmed the identity and every checked field matched.{
"request_id": "req_01H…",
"status": "Approved",
"issuing_state": "BRA",
"match_type": "full_match",
"validations": [
{
"outcome_code": "MATCH",
"service_id": "bra_residential",
"service_name": "Brazil Residential",
"source_data": {
"address": "123 Sample Street",
"date_of_birth": "1990-01-01",
"first_name": "John",
"identification_number": "SAMPLE-ID-12345",
"last_name": "Doe"
},
"validation": {
"address": "full_match",
"date_of_birth": "full_match",
"full_name": "full_match",
"identification_number": "full_match"
}
}
]
}
PARTIAL_MATCH — The identification number was found but one or more personal fields (usually name or date of birth) did not fully match.{
"request_id": "req_01H…",
"status": "In Review",
"issuing_state": "BRA",
"match_type": "partial_match",
"validations": [
{
"outcome_code": "PARTIAL_MATCH",
"service_id": "bra_residential",
"service_name": "Brazil Residential",
"source_data": {
"address": "123 Sample Street",
"date_of_birth": "1990-01-01",
"first_name": "John",
"identification_number": "SAMPLE-ID-12345",
"last_name": "Doe"
},
"validation": {
"address": "full_match",
"date_of_birth": "full_match",
"full_name": "no_match",
"identification_number": "full_match"
}
}
]
}
NO_MATCH — The registry returned no match for the submitted data.{
"request_id": "req_01H…",
"status": "Declined",
"issuing_state": "BRA",
"match_type": "no_match",
"validations": [
{
"outcome_code": "NO_MATCH",
"service_id": "bra_residential",
"service_name": "Brazil Residential",
"source_data": {
"address": "NO_MATCH",
"date_of_birth": "NO_MATCH",
"full_name": "NO_MATCH",
"identification_number": "NO_MATCH"
},
"validation": {
"address": "no_match",
"date_of_birth": "no_match",
"full_name": "no_match",
"identification_number": "no_match"
}
}
]
}
Returned data
The exact fields surfaced insource_data depend on what the registry returns. The generated example for bra_residential currently documents this normalized shape:
addressdate_of_birthfirst_nameidentification_numberlast_name
Pricing & SLAs
Brazil Residential queries are billed only when Didit receives a conclusive result from the validation source.- Per-call price: $0.35 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.