South Africa - Fraud Prevention Screening

curl -X POST "https://verification.didit.me/v3/database-validation/" \
  -H "x-api-key: YOUR_API_KEY" \
  -F "issuing_state=ZAF" \
  -F "services=zaf_fraud_prevention" \
  -F "vendor_data=user-1234" \
  -F "consent=true"

{
  "request_id": "req_01H…",
  "status": "Approved",
  "issuing_state": "ZAF",
  "match_type": "full_match",
  "validations": [
    {
      "outcome_code": "MATCH",
      "service_id": "zaf_fraud_prevention",
      "service_name": "South Africa - Fraud Prevention Screening",
      "source_data": {
        "fraud_listings": "sample_value",
        "identification_number": "SAMPLE-ID-12345"
      },
      "validation": {
        "identification_number": "full_match"
      }
    }
  ]
}

{
  "request_id": "req_01H…",
  "status": "Declined",
  "issuing_state": "ZAF",
  "match_type": "no_match",
  "validations": [
    {
      "outcome_code": "NO_MATCH",
      "service_id": "zaf_fraud_prevention",
      "service_name": "South Africa - Fraud Prevention Screening",
      "source_data": {
        "identification_number": "NO_MATCH"
      },
      "validation": {
        "identification_number": "no_match"
      }
    }
  ]
}

POST

database-validation

curl -X POST "https://verification.didit.me/v3/database-validation/" \
  -H "x-api-key: YOUR_API_KEY" \
  -F "issuing_state=ZAF" \
  -F "services=zaf_fraud_prevention" \
  -F "vendor_data=user-1234" \
  -F "consent=true"

{
  "request_id": "req_01H…",
  "status": "Approved",
  "issuing_state": "ZAF",
  "match_type": "full_match",
  "validations": [
    {
      "outcome_code": "MATCH",
      "service_id": "zaf_fraud_prevention",
      "service_name": "South Africa - Fraud Prevention Screening",
      "source_data": {
        "fraud_listings": "sample_value",
        "identification_number": "SAMPLE-ID-12345"
      },
      "validation": {
        "identification_number": "full_match"
      }
    }
  ]
}

{
  "request_id": "req_01H…",
  "status": "Declined",
  "issuing_state": "ZAF",
  "match_type": "no_match",
  "validations": [
    {
      "outcome_code": "NO_MATCH",
      "service_id": "zaf_fraud_prevention",
      "service_name": "South Africa - Fraud Prevention Screening",
      "source_data": {
        "identification_number": "NO_MATCH"
      },
      "validation": {
        "identification_number": "no_match"
      }
    }
  ]
}

Screens an individual against the South African Fraud Prevention Service (SAFPS) watch-list. 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: South Africa
Service ID: zaf_fraud_prevention
Data domain: Background
Category: Background

Inputs

Field	Required	Example
`national_id`	No	`SAMPLE-NID-12345`
`bank_account_number`	No	`1234567890`
`phone_number`	No	`+15550101000`
`email`	No	`john.doe@example.com`
`vendor_data`	No	`user-1234`

Required inputs: —
Optional inputs: national_id, bank_account_number, phone_number, email, vendor_data
Consent: Required
Workflow availability: Available in workflow
Coverage: —
Price: $0.30 per successful query

Body parameters

issuing_state

string

default:"ZAF"

required

ISO 3166-1 alpha-3 country code for this database service.Example: ZAF

services

string

default:"zaf_fraud_prevention"

required

Array containing this service ID. Pinning the service keeps the request scoped to this exact database.Example: zaf_fraud_prevention

Explicit end-user consent for this service.Example: true

national_id

string

default:"SAMPLE-NID-12345"

National identity number for this service.Example: SAMPLE-NID-12345

bank_account_number

string

default:"1234567890"

bank_account_number value required by this database service.Example: 1234567890

phone_number

string

default:"+15550101000"

phone_number value required by this database service.Example: +15550101000

string

default:"john.doe@example.com"

Email address.Example: john.doe@example.com

vendor_data

string

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-1234

Input rules & validation notes

Send the fields listed above exactly as captured from the user or document.
Didit validates required fields before calling the database. 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=ZAF" \
  -F "services=zaf_fraud_prevention" \
  -F "vendor_data=user-1234" \
  -F "consent=true"

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": "ZAF",
  "match_type": "full_match",
  "validations": [
    {
      "outcome_code": "MATCH",
      "service_id": "zaf_fraud_prevention",
      "service_name": "South Africa - Fraud Prevention Screening",
      "source_data": {
        "fraud_listings": "sample_value",
        "identification_number": "SAMPLE-ID-12345"
      },
      "validation": {
        "identification_number": "full_match"
      }
    }
  ]
}

NO_MATCH — The registry returned no match for the submitted data.

{
  "request_id": "req_01H…",
  "status": "Declined",
  "issuing_state": "ZAF",
  "match_type": "no_match",
  "validations": [
    {
      "outcome_code": "NO_MATCH",
      "service_id": "zaf_fraud_prevention",
      "service_name": "South Africa - Fraud Prevention Screening",
      "source_data": {
        "identification_number": "NO_MATCH"
      },
      "validation": {
        "identification_number": "no_match"
      }
    }
  ]
}

Returned data

The exact fields surfaced in source_data depend on what the registry returns. The generated example for zaf_fraud_prevention currently documents this normalized shape:

fraud_listings
identification_number

Pricing & SLAs

South Africa - Fraud Prevention Screening queries are billed only when Didit receives a conclusive result from the validation source.

Per-call price: $0.30 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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South Africa - Fraud Prevention Screening

Coverage

Inputs

Body parameters

Input rules & validation notes

How to call it

Returned data

Pricing & SLAs

Continue reading

​Coverage

​Inputs

​Body parameters

​Input rules & validation notes

​How to call it

​Returned data

​Pricing & SLAs

​Continue reading

Coverage

Inputs

Body parameters

Input rules & validation notes

How to call it

Returned data

Pricing & SLAs

Continue reading