Install
$ agentstack add skill-didit-protocol-skills-didit-id-document-verification ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ● Network access Used
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Didit ID Verification API
Overview
Verifies identity documents by submitting images of the front and back sides. Performs OCR extraction, MRZ parsing, authenticity checks, and document liveness detection.
Key constraints:
- Supported formats: JPEG, PNG, WebP, TIFF
- Maximum file size: 5MB per image
- All document corners must be visible, full-color, no glare/shadows
- Original real-time photos only (no screenshots, scans, or digital copies)
Coverage: 4,000+ document types, 220+ countries, 130+ languages. Supports passports, national ID cards, driver's licenses, and residence permits.
Processing pipeline:
- Intelligent capture & document type detection
- OCR text extraction + MRZ/barcode parsing
- Template matching, security feature validation, tamper detection
- Document liveness (detects screen captures, printed copies, portrait manipulation)
API Reference: https://docs.didit.me/standalone-apis/id-verification Feature Guide: https://docs.didit.me/core-technology/id-verification/overview Supported Documents: https://docs.didit.me/core-technology/id-verification/supported-documents-id-verification
Authentication
All requests require x-api-key header. Get your key from Didit Business Console → API & Webhooks, or via programmatic registration (see below).
Getting Started (No Account Yet?)
If you don't have a Didit API key, create one in 2 API calls:
- Register:
POST https://apx.didit.me/auth/v2/programmatic/register/with{"email": "you@gmail.com", "password": "MyStr0ng!Pass"} - Check email for a 6-character OTP code
- Verify:
POST https://apx.didit.me/auth/v2/programmatic/verify-email/with{"email": "you@gmail.com", "code": "A3K9F2"}→ response includesapi_key
To add credits: GET /v3/billing/balance/ to check, POST /v3/billing/top-up/ with {"amount_in_dollars": 50} for a Stripe checkout link.
See the didit-verification-management skill for full platform management (workflows, sessions, users, billing).
Endpoint
POST https://verification.didit.me/v3/id-verification/
Headers
| Header | Value | Required | |---|---|---| | x-api-key | Your API key | Yes | | Content-Type | multipart/form-data | Yes |
Request Parameters (multipart/form-data)
| Parameter | Type | Required | Default | Constraints | Description | |---|---|---|---|---|---| | front_image | file | Yes | — | JPEG/PNG/WebP/TIFF, max 5MB | Front image of ID document | | back_image | file | No | — | Same as above | Back image (when applicable) | | save_api_request | boolean | No | true | — | Save in Business Console Manual Checks | | vendor_data | string | No | — | — | Your identifier for session tracking |
Example
import requests
response = requests.post(
"https://verification.didit.me/v3/id-verification/",
headers={"x-api-key": "YOUR_API_KEY"},
files={
"front_image": ("front.jpg", open("front.jpg", "rb"), "image/jpeg"),
"back_image": ("back.jpg", open("back.jpg", "rb"), "image/jpeg"),
},
data={"vendor_data": "user-123"},
)
const formData = new FormData();
formData.append("front_image", frontImageFile);
formData.append("back_image", backImageFile);
formData.append("vendor_data", "user-123");
const response = await fetch("https://verification.didit.me/v3/id-verification/", {
method: "POST",
headers: { "x-api-key": "YOUR_API_KEY" },
body: formData,
});
Response (200 OK)
{
"request_id": "a1b2c3d4-...",
"id_verification": {
"status": "Approved",
"document_type": "Identity Card",
"document_number": "YZA123456",
"personal_number": "X9876543L",
"first_name": "Elena",
"last_name": "Martínez Sánchez",
"full_name": "Elena Martínez Sánchez",
"date_of_birth": "1985-03-15",
"age": 40,
"gender": "F",
"nationality": "ESP",
"issuing_state": "ESP",
"issuing_state_name": "Spain",
"expiration_date": "2030-08-21",
"date_of_issue": "2020-08-21",
"address": "Calle Mayor 10, Madrid",
"formatted_address": "Calle Mayor 10, 28013 Madrid, Spain",
"place_of_birth": "Valencia",
"portrait_image": "",
"front_document_image": "",
"back_document_image": "",
"mrz": {
"surname": "MARTINEZ SANCHEZ",
"given_name": "ELENA",
"document_type": "I",
"document_number": "YZA123456",
"country": "ESP",
"nationality": "ESP",
"birth_date": "850315",
"expiry_date": "300821",
"sex": "F"
},
"parsed_address": {"city": "Madrid", "region": "...", "postal_code": "28013", "country": "ES"},
"warnings": []
},
"created_at": "2025-05-01T13:11:07.977806Z"
}
Status Values
| Status | Meaning | |---|---| | "Approved" | Document verified successfully | | "Declined" | Verification failed (see warnings) | | "In Review" | Requires manual review |
Error Responses
| Code | Meaning | Action | |---|---|---| | 400 | Invalid request | Check file format, size, parameters | | 401 | Invalid API key | Verify x-api-key header | | 403 | Insufficient credits | Top up at business.didit.me |
Response Field Reference
| Field | Type | Description | |---|---|---| | status | string | "Approved", "Declined", "In Review" | | document_type | string | "Passport", "Identity Card", "Driver's License", "Residence Permit" | | document_number | string | Document ID number | | personal_number | string | Personal/national ID number | | first_name, last_name, full_name | string | Extracted name fields | | date_of_birth | string | YYYY-MM-DD | | age | integer | Calculated age | | gender | string | "M", "F", "U" | | nationality, issuing_state | string | ISO 3166-1 alpha-3 | | expiration_date, date_of_issue | string | YYYY-MM-DD | | portrait_image | string | Base64-encoded portrait from document | | mrz | object | Machine Readable Zone data | | parsed_address | object | Geocoded address: {city, region, postal_code, country, street_1} | | warnings | array | {risk, log_type, short_description, long_description} |
Warning Tags
Auto-Decline (always)
| Tag | Description | |---|---| | ID_DOCUMENT_IN_BLOCKLIST | Document in blocklist (previously flagged) | | PORTRAIT_IMAGE_NOT_DETECTED | No portrait found on document | | DOCUMENT_EXPIRED | Document expiration date has passed | | DOCUMENT_NOT_SUPPORTED_FOR_APPLICATION | Document type not accepted |
Configurable (Decline / Review / Approve)
| Category | Tags | |---|---| | Document liveness | SCREEN_CAPTURE_DETECTED, PRINTED_COPY_DETECTED, PORTRAIT_MANIPULATION_DETECTED | | MRZ issues | MRZ_NOT_DETECTED, MRZ_VALIDATION_FAILED, MRZ_AND_DATA_EXTRACTED_FROM_OCR_NOT_SAME | | Data issues | NAME_NOT_DETECTED, DATE_OF_BIRTH_NOT_DETECTED, DOCUMENT_NUMBER_NOT_DETECTED, DATA_INCONSISTENT | | Duplicates | POSSIBLE_DUPLICATED_USER | | Expected mismatch | FULL_NAME_MISMATCH_WITH_PROVIDED, DOB_MISMATCH_WITH_PROVIDED, GENDER_MISMATCH_WITH_PROVIDED | | Geolocation | DOCUMENT_COUNTRY_MISMATCH |
Common Workflows
Basic ID Verification
1. POST /v3/id-verification/ → front_image (+ back_image if applicable)
2. If "Approved" → extract first_name, last_name, date_of_birth, document_number
If "Declined" → check warnings:
DOCUMENT_EXPIRED → ask for valid document
SCREEN_CAPTURE_DETECTED → ask for real photo of physical document
MRZ_VALIDATION_FAILED → ask for clearer image
Full Identity Verification Pipeline
1. POST /v3/id-verification/ → verify document
2. POST /v3/passive-liveness/ → verify real person
3. POST /v3/face-match/ → compare selfie to document portrait
4. POST /v3/aml/ → screen extracted name/DOB/nationality
5. All Approved → fully verified identity
Utility Scripts
export DIDIT_API_KEY="your_api_key"
python scripts/verify_id.py front.jpg
python scripts/verify_id.py front.jpg back.jpg --vendor-data user-123
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: didit-protocol
- Source: didit-protocol/skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.