didit-kyc-onboarding

End-to-end KYC (Know Your Customer) identity verification for onboarding real users. Use when someone needs to perform KYC, onboard users with identity verification, verify a person's identity with ID scan and selfie, run a full KYC flow, create a verification session for a user, set up ID + liveness + face match verification, or implement user onboarding with document and biometric checks. Creates a KYC workflow, generates a verification URL, and retrieves the decision.

Safety Notice

This listing is imported from skills.sh public index metadata. Review upstream SKILL.md and repository scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "didit-kyc-onboarding" with this command: npx skills add didit-protocol/skills/didit-protocol-skills-didit-kyc-onboarding

Running KYC with Didit

End-to-end Know Your Customer (KYC) verification. This skill creates a KYC workflow, generates a session URL where a real user completes ID scan + selfie + face match, and retrieves the verification decision.

What the user experiences:

  1. Receives a verification link
  2. Scans their ID document (passport, ID card, driver's license)
  3. Takes a live selfie
  4. System auto-matches selfie to document photo
  5. Gets approved, declined, or flagged for review

API Reference:


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:

  1. Register: POST https://apx.didit.me/auth/v2/programmatic/register/ with {"email": "you@gmail.com", "password": "MyStr0ng!Pass"}
  2. Check email for a 6-character OTP code
  3. Verify: POST https://apx.didit.me/auth/v2/programmatic/verify-email/ with {"email": "you@gmail.com", "code": "A3K9F2"} → response includes api_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).


Quick Start — KYC in 3 API Calls

import requests, time

API_KEY = "your_api_key"
headers = {"x-api-key": API_KEY, "Content-Type": "application/json"}
BASE = "https://verification.didit.me/v3"

# 1. Create a KYC workflow (one-time setup — reuse the workflow_id for all users)
workflow = requests.post(f"{BASE}/workflows/", headers=headers, json={
    "workflow_label": "KYC Onboarding",
    "workflow_type": "kyc",
    "is_liveness_enabled": True,
    "is_face_match_enabled": True,
    "face_match_score_decline_threshold": 50,
    "max_retry_attempts": 3,
}).json()
workflow_id = workflow["uuid"]

# 2. Create a session for a specific user
session = requests.post(f"{BASE}/session/", headers=headers, json={
    "workflow_id": workflow_id,
    "vendor_data": "user-abc-123",
    "callback": "https://yourapp.com/verification-done",
    "language": "en",
}).json()

print(f"Send user to: {session['url']}")
# User opens this URL → scans ID → takes selfie → done

# 3. Poll for the decision (or use webhooks)
while True:
    decision = requests.get(
        f"{BASE}/session/{session['session_id']}/decision/",
        headers={"x-api-key": API_KEY},
    ).json()
    status = decision["status"]
    if status in ("Approved", "Declined", "In Review"):
        break
    time.sleep(10)

print(f"Result: {status}")
if status == "Approved":
    id_data = decision["id_verifications"][0]
    print(f"Name: {id_data['first_name']} {id_data['last_name']}")
    print(f"DOB: {id_data['date_of_birth']}")
    print(f"Document: {id_data['document_type']} ({id_data['issuing_country']})")

Step 1: Create a KYC Workflow

A workflow defines what checks run. Create one per use case and reuse it for all users.

POST https://verification.didit.me/v3/workflows/

API Reference: https://docs.didit.me/management-api/workflows/create

Recommended KYC Configuration

ParameterValueWhy
workflow_type"kyc"Full KYC template with ID + selfie
is_liveness_enabledtruePrevents spoofing (printed photos, screens)
is_face_match_enabledtrueCompares selfie to document photo
face_match_score_decline_threshold50Match below 50% → auto-decline
is_aml_enabledfalseSet true for sanctions/PEP screening (+cost)
max_retry_attempts3User can retry 3 times on failure

Response

{
  "uuid": "d8d2fa2d-c69c-471c-b7bc-bc71512b43ef",
  "workflow_label": "KYC Onboarding",
  "workflow_type": "kyc",
  "features": ["ocr", "liveness", "face_match"],
  "total_price": "0.10",
  "workflow_url": "https://verify.didit.me/..."
}

Save uuid as your workflow_id.


Step 2: Create a Session for Each User

Each user gets their own session. The session generates a unique URL where they complete verification.

POST https://verification.didit.me/v3/session/

API Reference: https://docs.didit.me/sessions-api/create-session

Key Parameters

ParameterTypeRequiredDescription
workflow_iduuidYesFrom Step 1
vendor_datastringRecommendedYour user ID — links the session to your system
callbackurlRecommendedRedirect URL after verification. Didit appends ?verificationSessionId=...&status=...
languagestringNoUI language (ISO 639-1). Auto-detected if omitted
contact_details.emailstringNoPre-fill email for notification
expected_details.first_namestringNoTriggers mismatch warning if document name differs
expected_details.date_of_birthstringNoYYYY-MM-DD format
metadataJSON stringNoCustom data stored with session

Response

{
  "session_id": "11111111-2222-3333-4444-555555555555",
  "session_token": "abcdef123456",
  "url": "https://verify.didit.me/session/abcdef123456",
  "status": "Not Started",
  "workflow_id": "d8d2fa2d-..."
}

Send the user to url — this is where they complete verification (web or mobile).


Step 3: Get the Decision

After the user completes verification, retrieve the results.

GET https://verification.didit.me/v3/session/{sessionId}/decision/

API Reference: https://docs.didit.me/sessions-api/retrieve-session

Two Ways to Know When It's Ready

Option A: Webhooks (recommended for production) Configure a webhook URL in Business Console → API & Webhooks. Didit sends a POST with session_id and status when the decision is ready.

Option B: Polling Poll GET /v3/session/{id}/decision/ every 10–30 seconds. Check status — stop when it's Approved, Declined, or In Review.

Decision Response Fields

{
  "session_id": "...",
  "status": "Approved",
  "features": ["ID_VERIFICATION", "LIVENESS", "FACE_MATCH"],
  "id_verifications": [{
    "status": "Approved",
    "document_type": "PASSPORT",
    "issuing_country": "USA",
    "first_name": "John",
    "last_name": "Doe",
    "date_of_birth": "1990-01-15",
    "document_number": "ABC123456",
    "expiry_date": "2030-06-01",
    "gender": "M",
    "nationality": "USA",
    "mrz": "P<USADOE<<JOHN<<<<<<<<<..."
  }],
  "liveness_checks": [{
    "status": "Approved",
    "method": "PASSIVE",
    "score": 92.5
  }],
  "face_matches": [{
    "status": "Approved",
    "score": 97.3
  }],
  "aml_screenings": [],
  "warnings": []
}

Key Decision Statuses

StatusMeaningAction
ApprovedAll checks passedUser is verified
DeclinedOne or more checks failedCheck warnings for details
In ReviewBorderline resultManual review needed, or auto-decide via API
Not StartedUser hasn't opened the link yetWait or remind user
In ProgressUser is completing verificationWait
ExpiredSession expired (default: 7 days)Create a new session

Optional: Post-Decision Actions

Approve or Decline Manually

PATCH https://verification.didit.me/v3/session/{sessionId}/update-status/

API Reference: https://docs.didit.me/sessions-api/update-status

requests.patch(f"{BASE}/session/{session_id}/update-status/",
    headers=headers,
    json={"new_status": "Approved", "comment": "Manual review passed"})

Request Resubmission

If the ID photo was blurry, ask the user to redo just that step:

requests.patch(f"{BASE}/session/{session_id}/update-status/",
    headers=headers,
    json={
        "new_status": "Resubmitted",
        "nodes_to_resubmit": [{"node_id": "feature_ocr", "feature": "OCR"}],
        "send_email": True,
        "email_address": "user@example.com",
    })

Block Fraudulent Users

requests.post(f"{BASE}/blocklist/add/",
    headers=headers,
    json={"session_id": session_id, "blocklist_face": True, "blocklist_document": True})

API Reference: https://docs.didit.me/sessions-api/blocklist/add

Generate PDF Report

response = requests.get(f"{BASE}/session/{session_id}/generate-pdf",
    headers={"x-api-key": API_KEY})

API Reference: https://docs.didit.me/sessions-api/generate-pdf


KYC Workflow Variants

KYC + AML Screening

Add sanctions/PEP screening to catch high-risk individuals:

requests.post(f"{BASE}/workflows/", headers=headers, json={
    "workflow_type": "kyc",
    "is_liveness_enabled": True,
    "is_face_match_enabled": True,
    "is_aml_enabled": True,
    "aml_decline_threshold": 80,
})

KYC + Phone + Email

Add contact verification to the flow:

requests.post(f"{BASE}/workflows/", headers=headers, json={
    "workflow_type": "kyc",
    "is_liveness_enabled": True,
    "is_face_match_enabled": True,
    "is_phone_verification_enabled": True,
    "is_email_verification_enabled": True,
})

KYC + NFC (Chip Reading)

For passports with NFC chips — highest assurance:

requests.post(f"{BASE}/workflows/", headers=headers, json={
    "workflow_type": "kyc",
    "is_liveness_enabled": True,
    "is_face_match_enabled": True,
    "is_nfc_enabled": True,
})

Utility Scripts

run_kyc.py — Full KYC setup from the command line

# Requires: pip install requests
export DIDIT_API_KEY="your_api_key"

# Create a KYC workflow (one-time)
python scripts/run_kyc.py setup --label "My KYC" --liveness --face-match

# Create a session for a user
python scripts/run_kyc.py session --workflow-id <uuid> --vendor-data user-123

# Get the decision
python scripts/run_kyc.py decision <session_id>

# Full flow: create workflow + session in one command
python scripts/run_kyc.py full --vendor-data user-123 --callback https://myapp.com/done

Can also be imported:

from scripts.run_kyc import setup_kyc_workflow, create_kyc_session, get_decision

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

General

didit-face-match

No summary provided by upstream source.

Repository SourceNeeds Review
General

didit-database-validation

No summary provided by upstream source.

Repository SourceNeeds Review
General

didit-id-document-verification

No summary provided by upstream source.

Repository SourceNeeds Review
General

didit-biometric-age-estimation

No summary provided by upstream source.

Repository SourceNeeds Review