Before integrating a card issuing API, define the business operations you need and the evidence that will prove they work. An endpoint that creates a card is only one part of the system. Your team also needs reliable balances, controlled access, transaction reconciliation and a way to handle failures without duplicating financial operations.
This is a design checklist, not AIHUB API documentation. AIHUB's public documentation describes its REST API as a private beta and labels endpoints as a preview. Confirm current access and supported operations before planning delivery around them. AIHUB documentation.
Start with a small operational contract
Write down who can issue, view, freeze and manage cards. Identify which operations require approval and what happens when a user leaves the organization. Decide how your internal customer or team identifiers map to provider records without exposing card credentials in ordinary logs.
Ask for the authentication method, permission scopes, test environment, rate limits, versioning policy and error model. Separate “documented,” “available in our environment” and “tested by our team.” These are three different milestones.
Make retries safe
Network timeouts create ambiguity: a request may have succeeded even if your application did not receive the response. Repeating an operation blindly can create duplicates.
Ask whether the provider supports idempotency keys, which operations they cover and how long they remain effective. Keep the same operation identifier when retrying the same intended action; do not assume another provider's semantics apply. Stripe documents idempotent requests as one example of this pattern. Idempotent request reference.
Acceptance test: simulate a timeout around a creation request and confirm that the eventual state contains exactly one intended object, or that your documented recovery process resolves ambiguity before another attempt.
Treat webhooks as events to verify and reconcile
Request the provider's rules for signature verification, replay protection, retries, ordering and event identifiers. Design processing so a duplicate event does not repeat a business action. Do not assume events always arrive in chronological order.
Stripe's webhook guidance discusses signature checks, duplicate deliveries and ordering. These are useful questions to bring to any provider, not proof of AIHUB's behavior. Webhook guidance.
Acceptance test: deliver the same event twice and an older event after a newer one. Your system should retain a correct state and a traceable processing record. Also test how it recovers after being unavailable.
Define the financial source of truth
Distinguish available funds, authorizations, settled purchases, reversals, refunds and fees according to the provider's actual model. Reconcile your records against its transaction export or authoritative API. Do not infer that a card is funded solely because your application's “top-up requested” action succeeded.
Keep sensitive payment data out of analytics and general application logs. Prefer provider-hosted handling of card details where available, and have the responsible security specialist determine the integration's obligations before storing or processing credentials yourself.
Explain readiness to an owner in plain language
A useful status update might be: “Card creation works in the test environment. Repeated requests do not create duplicates. Freeze and access removal are tested. We have not yet confirmed recovery after missed notifications, so production rollout is pending.”
This communicates what works, what remains unproven and why it matters without pasting implementation files into a report.
Agree the launch boundary
Before production, document operational ownership, monitoring, incident contacts, spending exposure, rollback behavior and how to disable new operations safely. Launch only the confirmed scope. Future SDKs, bulk operations or roadmap promises should not become dependencies until they are available and tested for your account.
Check current product conditions before paying. Illustrative examples are not AIHUB tariffs.