Developer Integration Path
A pragmatic path for engineers integrating identity verification, AML screening, fraud signals, and decision workflows.
Who this is for
- Platform and integration engineers.
- Backend and mobile builders.
- Tech leads preparing for production launch.
Lessons
1. Get oriented
Read the public documentation, choose your SDK, set up a sandbox tenant, and run a hello-world verification end to end.
2. Auth and credentials
- Use API keys for service-to-service.
- Use OAuth where customer-context is required.
- Rotate, scope, and audit credentials.
3. Idempotency and retries
Network failures happen. Use idempotency keys for create-style endpoints. Treat retries as a first-class concern.
4. Webhooks
Webhooks deliver async outcomes. Verify signatures, implement replay protection, and design idempotent handlers.
5. Errors and observability
- Read structured error codes and reasons.
- Log decisions and correlation identifiers.
- Build dashboards for verification rate, decline reasons, and latency.
6. Production readiness
- Rate limits and quota management.
- Secrets and environment isolation.
- Privacy and retention controls.
- Incident playbooks.
Applied scenarios
- Add identity verification to an onboarding screen.
- Wire AML screening into a backend pipeline.
- Receive a fraud webhook and route it to your case system.
Review checkpoint
You should be able to:
- Stand up a sandbox integration end to end.
- Build a webhook handler that is signature-verified and idempotent.
- Identify the production-readiness gaps in your integration.