curl -X POST "https://verification.didit.me/v3/database-validation/" \
-H "x-api-key: YOUR_API_KEY" \
-F "issuing_state=ZAF" \
-F "services=zaf_criminal_face_screening" \
-F "vendor_data=user-1234" \
-F "consent=true" \
-F "selfie=@./selfie.jpg"
from didit import Didit
# Reads DIDIT_API_KEY.
client = Didit()
result = client.database_validation.validate(
issuing_state="ZAF",
services=["zaf_criminal_face_screening"],
consent=True,
vendor_data="user-1234",
selfie=open("selfie.jpg", "rb"),
)
print(result)
import Didit, { fileFromPath } from "@didit-protocol/sdk-node";
// Reads DIDIT_API_KEY.
const didit = new Didit();
const result = await didit.databaseValidation.validate({
issuing_state: "ZAF",
services: ["zaf_criminal_face_screening"],
consent: true,
vendor_data: "user-1234",
selfie: await fileFromPath("selfie.jpg"),
});
console.log(result);
ctx := context.Background()
// Reads DIDIT_API_KEY.
client := didit.NewClient()
result, err := client.DatabaseValidation.Validate(ctx, didit.DatabaseValidationValidateParams{
IssuingState: "ZAF",
Services: didit.Some([]string{"zaf_criminal_face_screening"}),
Consent: didit.Bool(true),
VendorData: didit.String("user-1234"),
Selfie: didit.Some(didit.FileFromPath("selfie.jpg")),
})
if err != nil {
log.Fatal(err)
}
fmt.Printf("%+v\n", result)
import java.nio.file.Path;
import java.util.List;
import me.didit.Didit;
import me.didit.types.DatabaseValidationValidateParams;
// Reads DIDIT_API_KEY.
Didit client = new Didit();
var result = client.databaseValidation().validate(DatabaseValidationValidateParams.builder()
.issuingState("ZAF")
.services(List.of("zaf_criminal_face_screening"))
.consent(true)
.vendorData("user-1234")
.selfie(Path.of("selfie.jpg"))
.build());
System.out.println(result);
<?php
require 'vendor/autoload.php';
use Didit\DiditClient;
use Didit\File;
// Reads DIDIT_API_KEY.
$didit = new DiditClient();
$result = $didit->databaseValidation->validate([
'issuing_state' => 'ZAF',
'services' => ['zaf_criminal_face_screening'],
'consent' => true,
'vendor_data' => 'user-1234',
'selfie' => File::fromPath('selfie.jpg'),
]);
print_r($result->toArray());
require "didit"
# Reads DIDIT_API_KEY.
didit = Didit::Client.new
result = didit.database_validation.validate(
issuing_state: "ZAF",
services: ["zaf_criminal_face_screening"],
consent: true,
vendor_data: "user-1234",
selfie: Pathname("selfie.jpg")
)
puts result.to_h
using System;
using System.Text.Json;
using Didit;
// Reads DIDIT_API_KEY.
using var client = new DiditClient();
var result = await client.DatabaseValidation.ValidateAsync(new DatabaseValidationValidateParams
{
IssuingState = "ZAF",
Services = new string[] { "zaf_criminal_face_screening" },
Consent = true,
VendorData = "user-1234",
Selfie = FileUpload.FromPath("selfie.jpg"),
});
Console.WriteLine(JsonSerializer.Serialize(result));
{
"request_id": "req_01H…",
"status": "Approved",
"issuing_state": "ZAF",
"match_type": "full_match",
"validations": [
{
"outcome_code": "MATCH",
"service_id": "zaf_criminal_face_screening",
"service_name": "South Africa - Criminal Screening by Face",
"source_data": {
"criminal_matches": "sample_value",
"face_quality": "sample_value",
"request_id": "SAMPLE-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_criminal_face_screening",
"service_name": "South Africa - Criminal Screening by Face",
"source_data": {
"identification_number": "NO_MATCH"
},
"validation": {
"identification_number": "no_match"
}
}
]
}
{
"request_id": "req_01H…",
"status": "Declined",
"issuing_state": "ZAF",
"match_type": "no_match",
"validations": [
{
"outcome_code": "BIOMETRIC_NO_MATCH",
"service_id": "zaf_criminal_face_screening",
"service_name": "South Africa - Criminal Screening by Face",
"source_data": {
"identification_number": "NO_MATCH"
},
"validation": {
"identification_number": "no_match"
}
}
]
}
{
"request_id": "req_01H…",
"status": "In Review",
"issuing_state": "ZAF",
"match_type": "no_match",
"validations": [
{
"outcome_code": "BIOMETRIC_IMAGE_UNUSABLE",
"service_id": "zaf_criminal_face_screening",
"service_name": "South Africa - Criminal Screening by Face",
"source_data": {
"identification_number": "NO_MATCH"
},
"validation": {
"identification_number": "no_match"
}
}
]
}
🇿🇦 Sud-àfrica
Cribratge criminal per cara a Sud-àfrica
Cribratge criminal per cara a Sud-àfrica amb Didit: consulta de bases de dades oficials des de $8.00 per crida, sense contractes ni mínims.
POST
/
v3
/
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_criminal_face_screening" \
-F "vendor_data=user-1234" \
-F "consent=true" \
-F "selfie=@./selfie.jpg"
from didit import Didit
# Reads DIDIT_API_KEY.
client = Didit()
result = client.database_validation.validate(
issuing_state="ZAF",
services=["zaf_criminal_face_screening"],
consent=True,
vendor_data="user-1234",
selfie=open("selfie.jpg", "rb"),
)
print(result)
import Didit, { fileFromPath } from "@didit-protocol/sdk-node";
// Reads DIDIT_API_KEY.
const didit = new Didit();
const result = await didit.databaseValidation.validate({
issuing_state: "ZAF",
services: ["zaf_criminal_face_screening"],
consent: true,
vendor_data: "user-1234",
selfie: await fileFromPath("selfie.jpg"),
});
console.log(result);
ctx := context.Background()
// Reads DIDIT_API_KEY.
client := didit.NewClient()
result, err := client.DatabaseValidation.Validate(ctx, didit.DatabaseValidationValidateParams{
IssuingState: "ZAF",
Services: didit.Some([]string{"zaf_criminal_face_screening"}),
Consent: didit.Bool(true),
VendorData: didit.String("user-1234"),
Selfie: didit.Some(didit.FileFromPath("selfie.jpg")),
})
if err != nil {
log.Fatal(err)
}
fmt.Printf("%+v\n", result)
import java.nio.file.Path;
import java.util.List;
import me.didit.Didit;
import me.didit.types.DatabaseValidationValidateParams;
// Reads DIDIT_API_KEY.
Didit client = new Didit();
var result = client.databaseValidation().validate(DatabaseValidationValidateParams.builder()
.issuingState("ZAF")
.services(List.of("zaf_criminal_face_screening"))
.consent(true)
.vendorData("user-1234")
.selfie(Path.of("selfie.jpg"))
.build());
System.out.println(result);
<?php
require 'vendor/autoload.php';
use Didit\DiditClient;
use Didit\File;
// Reads DIDIT_API_KEY.
$didit = new DiditClient();
$result = $didit->databaseValidation->validate([
'issuing_state' => 'ZAF',
'services' => ['zaf_criminal_face_screening'],
'consent' => true,
'vendor_data' => 'user-1234',
'selfie' => File::fromPath('selfie.jpg'),
]);
print_r($result->toArray());
require "didit"
# Reads DIDIT_API_KEY.
didit = Didit::Client.new
result = didit.database_validation.validate(
issuing_state: "ZAF",
services: ["zaf_criminal_face_screening"],
consent: true,
vendor_data: "user-1234",
selfie: Pathname("selfie.jpg")
)
puts result.to_h
using System;
using System.Text.Json;
using Didit;
// Reads DIDIT_API_KEY.
using var client = new DiditClient();
var result = await client.DatabaseValidation.ValidateAsync(new DatabaseValidationValidateParams
{
IssuingState = "ZAF",
Services = new string[] { "zaf_criminal_face_screening" },
Consent = true,
VendorData = "user-1234",
Selfie = FileUpload.FromPath("selfie.jpg"),
});
Console.WriteLine(JsonSerializer.Serialize(result));
{
"request_id": "req_01H…",
"status": "Approved",
"issuing_state": "ZAF",
"match_type": "full_match",
"validations": [
{
"outcome_code": "MATCH",
"service_id": "zaf_criminal_face_screening",
"service_name": "South Africa - Criminal Screening by Face",
"source_data": {
"criminal_matches": "sample_value",
"face_quality": "sample_value",
"request_id": "SAMPLE-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_criminal_face_screening",
"service_name": "South Africa - Criminal Screening by Face",
"source_data": {
"identification_number": "NO_MATCH"
},
"validation": {
"identification_number": "no_match"
}
}
]
}
{
"request_id": "req_01H…",
"status": "Declined",
"issuing_state": "ZAF",
"match_type": "no_match",
"validations": [
{
"outcome_code": "BIOMETRIC_NO_MATCH",
"service_id": "zaf_criminal_face_screening",
"service_name": "South Africa - Criminal Screening by Face",
"source_data": {
"identification_number": "NO_MATCH"
},
"validation": {
"identification_number": "no_match"
}
}
]
}
{
"request_id": "req_01H…",
"status": "In Review",
"issuing_state": "ZAF",
"match_type": "no_match",
"validations": [
{
"outcome_code": "BIOMETRIC_IMAGE_UNUSABLE",
"service_id": "zaf_criminal_face_screening",
"service_name": "South Africa - Criminal Screening by Face",
"source_data": {
"identification_number": "NO_MATCH"
},
"validation": {
"identification_number": "no_match"
}
}
]
}
Cribra una imatge facial contra conjunts de dades publicats de registres criminals per detectar possibles coincidències. Didit ofereix aquest servei a través de
POST /v3/database-validation/ perquè puguis verificar les dades enviades contra la font autoritzada i rebre resultats de coincidència normalitzats.
Cobertura
- Cobertura: —
- País: Sud-àfrica
- ID del servei:
zaf_criminal_face_screening - Àmbit de dades: Criminal
- Categoria: Criminal
Entrades
| Camp | Obligatori | Exemple |
|---|---|---|
selfie | Sí | @./selfie.jpg |
score_level | No | standard |
max_matches | No | 10 |
vendor_data | No | user-1234 |
- Entrades obligatòries:
selfie - Entrades opcionals:
score_level,max_matches,vendor_data - Consentiment: Obligatori
- Disponibilitat al flux de treball: Disponible al flux de treball
- Cobertura: —
- Preu: $8.00 per consulta satisfactòria
Paràmetres del cos
string
predeterminat:"ZAF"
requerit
Codi de país ISO 3166-1 alpha-3 per a aquest servei de base de dades.Exemple:
ZAFstring
predeterminat:"zaf_criminal_face_screening"
requerit
Matriu que conté aquest ID de servei. Fixar el servei limita la sol·licitud a aquesta base de dades exacta.Exemple:
zaf_criminal_face_screeningboolean
predeterminat:"true"
requerit
Consentiment explícit de l’usuari final per a aquest servei.Exemple:
truefile
requerit
Fitxer d’imatge de selfie que cal carregar per a la validació biomètrica en bases de dades. Formats acceptats: JPEG, PNG o WebP.Exemple:
@./selfie.jpgstring
Valor de
score_level requerit per aquest servei de base de dades.Exemple: standardstring
Valor de
max_matches requerit per aquest servei de base de dades.Exemple: 10string
predeterminat:"user-1234"
La teva referència estable d’usuari per a aquesta persona, com ara el teu ID intern d’usuari. Didit l’utilitza per vincular les comprovacions independents al mateix usuari final i reduir el soroll de detecció de duplicats.Exemple:
user-1234Regles d’entrada i notes de validació
- Envia els camps indicats més amunt exactament tal com s’han capturat de l’usuari o del document.
- Didit valida els camps obligatoris abans de consultar la base de dades. Les sol·licituds rebutjades abans de la consulta a la font no es facturen.
Com fer la crida
curl -X POST "https://verification.didit.me/v3/database-validation/" \
-H "x-api-key: YOUR_API_KEY" \
-F "issuing_state=ZAF" \
-F "services=zaf_criminal_face_screening" \
-F "vendor_data=user-1234" \
-F "consent=true" \
-F "selfie=@./selfie.jpg"
from didit import Didit
# Reads DIDIT_API_KEY.
client = Didit()
result = client.database_validation.validate(
issuing_state="ZAF",
services=["zaf_criminal_face_screening"],
consent=True,
vendor_data="user-1234",
selfie=open("selfie.jpg", "rb"),
)
print(result)
import Didit, { fileFromPath } from "@didit-protocol/sdk-node";
// Reads DIDIT_API_KEY.
const didit = new Didit();
const result = await didit.databaseValidation.validate({
issuing_state: "ZAF",
services: ["zaf_criminal_face_screening"],
consent: true,
vendor_data: "user-1234",
selfie: await fileFromPath("selfie.jpg"),
});
console.log(result);
ctx := context.Background()
// Reads DIDIT_API_KEY.
client := didit.NewClient()
result, err := client.DatabaseValidation.Validate(ctx, didit.DatabaseValidationValidateParams{
IssuingState: "ZAF",
Services: didit.Some([]string{"zaf_criminal_face_screening"}),
Consent: didit.Bool(true),
VendorData: didit.String("user-1234"),
Selfie: didit.Some(didit.FileFromPath("selfie.jpg")),
})
if err != nil {
log.Fatal(err)
}
fmt.Printf("%+v\n", result)
import java.nio.file.Path;
import java.util.List;
import me.didit.Didit;
import me.didit.types.DatabaseValidationValidateParams;
// Reads DIDIT_API_KEY.
Didit client = new Didit();
var result = client.databaseValidation().validate(DatabaseValidationValidateParams.builder()
.issuingState("ZAF")
.services(List.of("zaf_criminal_face_screening"))
.consent(true)
.vendorData("user-1234")
.selfie(Path.of("selfie.jpg"))
.build());
System.out.println(result);
<?php
require 'vendor/autoload.php';
use Didit\DiditClient;
use Didit\File;
// Reads DIDIT_API_KEY.
$didit = new DiditClient();
$result = $didit->databaseValidation->validate([
'issuing_state' => 'ZAF',
'services' => ['zaf_criminal_face_screening'],
'consent' => true,
'vendor_data' => 'user-1234',
'selfie' => File::fromPath('selfie.jpg'),
]);
print_r($result->toArray());
require "didit"
# Reads DIDIT_API_KEY.
didit = Didit::Client.new
result = didit.database_validation.validate(
issuing_state: "ZAF",
services: ["zaf_criminal_face_screening"],
consent: true,
vendor_data: "user-1234",
selfie: Pathname("selfie.jpg")
)
puts result.to_h
using System;
using System.Text.Json;
using Didit;
// Reads DIDIT_API_KEY.
using var client = new DiditClient();
var result = await client.DatabaseValidation.ValidateAsync(new DatabaseValidationValidateParams
{
IssuingState = "ZAF",
Services = new string[] { "zaf_criminal_face_screening" },
Consent = true,
VendorData = "user-1234",
Selfie = FileUpload.FromPath("selfie.jpg"),
});
Console.WriteLine(JsonSerializer.Serialize(result));
Cada crida satisfactòria retorna HTTP
200. El camp outcome_code indica què ha passat realment: distingeix, per exemple, una no-coincidència biomètrica real (BIOMETRIC_NO_MATCH) d’una selfie que no s’ha pogut llegir (BIOMETRIC_IMAGE_UNUSABLE). L’status mostrat és l’estat predeterminat de la funcionalitat; les accions de coincidència parcial / sense coincidència que hagis configurat poden substituir-lo.MATCH: El registre ha confirmat la identitat i tots els camps verificats coincideixen.{
"request_id": "req_01H…",
"status": "Approved",
"issuing_state": "ZAF",
"match_type": "full_match",
"validations": [
{
"outcome_code": "MATCH",
"service_id": "zaf_criminal_face_screening",
"service_name": "South Africa - Criminal Screening by Face",
"source_data": {
"criminal_matches": "sample_value",
"face_quality": "sample_value",
"request_id": "SAMPLE-12345"
},
"validation": {
"identification_number": "full_match"
}
}
]
}
NO_MATCH: El registre no ha retornat cap coincidència per a les dades enviades.{
"request_id": "req_01H…",
"status": "Declined",
"issuing_state": "ZAF",
"match_type": "no_match",
"validations": [
{
"outcome_code": "NO_MATCH",
"service_id": "zaf_criminal_face_screening",
"service_name": "South Africa - Criminal Screening by Face",
"source_data": {
"identification_number": "NO_MATCH"
},
"validation": {
"identification_number": "no_match"
}
}
]
}
BIOMETRIC_NO_MATCH: La puntuació de coincidència facial és inferior al llindar d’acceptació: la selfie no correspon a la mateixa persona que la fotografia del registre.{
"request_id": "req_01H…",
"status": "Declined",
"issuing_state": "ZAF",
"match_type": "no_match",
"validations": [
{
"outcome_code": "BIOMETRIC_NO_MATCH",
"service_id": "zaf_criminal_face_screening",
"service_name": "South Africa - Criminal Screening by Face",
"source_data": {
"identification_number": "NO_MATCH"
},
"validation": {
"identification_number": "no_match"
}
}
]
}
BIOMETRIC_IMAGE_UNUSABLE: La selfie no s’ha pogut processar (buida, sense cara, de baixa qualitat, o el registre no l’ha pogut llegir). Demana a l’usuari que torni a fer la selfie.{
"request_id": "req_01H…",
"status": "In Review",
"issuing_state": "ZAF",
"match_type": "no_match",
"validations": [
{
"outcome_code": "BIOMETRIC_IMAGE_UNUSABLE",
"service_id": "zaf_criminal_face_screening",
"service_name": "South Africa - Criminal Screening by Face",
"source_data": {
"identification_number": "NO_MATCH"
},
"validation": {
"identification_number": "no_match"
}
}
]
}
Dades retornades
Els camps exactes exposats asource_data depenen del que retorni el registre. L’exemple generat per a zaf_criminal_face_screening documenta actualment aquesta estructura normalitzada:
criminal_matchesface_qualityrequest_id
Preus i SLA
Les consultes de cribratge facial de registres criminals de Sud-àfrica només es facturen quan Didit rep un resultat concloent de la font de validació.- Preu per crida: $8.00 USD.
- Facturació: per consulta satisfactòria. No se’t factura quan el registre és inaccessible, quan falten camps obligatoris o quan la sol·licitud es rebutja abans d’arribar a la font.
- Latència: p95 típic < 2 s.
- Disponibilitat: 99.9% per trimestre per part de Didit; la disponibilitat de les fonts subjacents varia segons el país i el conjunt de dades.
Continua llegint
Darrera modificació el 7 de novembre del 2026