Building with the verification API
How you store a verification result determines how easily you can audit it, reuse it, and delete it later. A schema that ages well.
One token, full access, checked into a repo three years ago. Here is how to avoid that, and what to do the day it happens.
A verification API layers several rate limits. Understanding how they interact stops you designing a job that works in testing and throttles in production.
You should never test an identity integration against real data or your live balance. Mock mode gives you deterministic responses for free.
Most verification checks are synchronous, but some are not. When a result lands later, a webhook beats a polling loop.
When each call costs money, a careless retry loop can double your bill and corrupt your data. The patterns that keep retries safe.
The three status codes you will actually hit in production, what each means, and the right client behaviour for each.
Identity checks belong in your funnel without being a wall. Async patterns, optimistic UI and the right failure handling keep conversion up.