Use first-party API jobs and clear validation outcomes to detect malformed or low-quality phone/email input around onboarding, without presenting the signal as identity proof or OTP authentication.
Keep the decision narrow and explainable.
Normalize the input before sending it to verification.
Reject impossible or malformed values with a user-correctable message.
Use returned validation signals as one data-quality input.
Allow a review or fallback path when a signal is unavailable.
The current verification platform is not an OTP delivery product. A positive data-quality signal does not prove the registrant controls the contact method.
Use your authentication provider for OTP or possession checks when needed.
Keep verification and authentication decisions separate in your data model.
Log the reason for a signup decision without storing unnecessary sensitive raw data.
Choose the pattern based on latency and business risk.
Normalize and catch obvious errors instantly in your own form.
Create a verification job and use the result before enabling a downstream workflow.
Accept the signup, then queue a review if the verification step can be asynchronous.
Recheck legacy signup data in bulk when migrating or improving CRM quality.
Show actionable messages such as “check country code” or “use a valid email format” instead of generic “verification failed” where the underlying reason is safe to expose.
No. This solution is about contact-data quality signals, not proof of possession.
Not automatically. Design a fallback based on your business risk and the meaning of the specific signal.
Yes. Asynchronous review is often appropriate when the result is not required to create the account.
Use the documented idempotency mechanism and the platform preflight/cache rules where applicable.
Use descriptive internal links so users and search engines can understand how these topics connect.
Start with a preflight, review duplicates, cache eligibility, fresh checks, and the frozen maximum quote.