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.

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:

• Workflows: https://docs.didit.me/management-api/workflows/create
• Sessions: https://docs.didit.me/sessions-api/create-session
• Decisions: https://docs.didit.me/sessions-api/retrieve-session
• Programmatic Registration: https://docs.didit.me/integration/programmatic-registration
• Full API Overview: https://docs.didit.me/sessions-api/management-api

---

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": "[e-mail]", "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": "[e-mail]", "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).

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Quick Start — KYC in 3 API Calls

python

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.

text

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

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

Recommended KYC Configuration

Parameter	Value	Why
workflow_type	"kyc"	Full KYC template with ID + selfie
is_liveness_enabled	true	Prevents spoofing (printed photos, screens)
is_face_match_enabled	true	Compares selfie to document photo
face_match_score_decline_threshold	50	Match below 50% → auto-decline
is_aml_enabled	false	Set true for sanctions/PEP screening (+cost)
max_retry_attempts	3	User can retry 3 times on failure

Response

json

{
  "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.

text

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

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

Key Parameters

Parameter	Type	Required	Description
workflow_id	uuid	Yes	From Step 1
vendor_data	string	Recommended	Your user ID — links the session to your system
callback	url	Recommended	Redirect URL after verification. Didit appends ?verificationSessionId=...&status=...
language	string	No	UI language (ISO 639-1). Auto-detected if omitted
contact_details.email	string	No	Pre-fill email for notification
expected_details.first_name	string	No	Triggers mismatch warning if document name differs
expected_details.date_of_birth	string	No	YYYY-MM-DD format
metadata	JSON string	No	Custom data stored with session

Response

json

{
  "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.

text

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

json

{
  "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

Status	Meaning	Action
Approved	All checks passed	User is verified
Declined	One or more checks failed	Check warnings for details
In Review	Borderline result	Manual review needed, or auto-decide via API
Not Started	User hasn't opened the link yet	Wait or remind user
In Progress	User is completing verification	Wait
Expired	Session expired (default: 7 days)	Create a new session

---

Optional: Post-Decision Actions

Approve or Decline Manually

text

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

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

python

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:

python

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": "[e-mail]",
    })

Block Fraudulent Users

python

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

python

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:

python

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:

python

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:

python

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

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Utility Scripts

run_kyc.py — Full KYC setup from the command line

bash

# 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:

python

from scripts.run_kyc import setup_kyc_workflow, create_kyc_session, get_decision