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Integrate through predictable resource contracts and explicit failure semantics.

Super Commerce APIs expose commerce capabilities through consistent authentication, pagination, filtering, idempotency, errors, rate limits, and correlation behavior. Consumers should depend on documented contracts—not internal service topology.

Implementation guide

Design for the successful path, the failure path, and production ownership.

01

Request conventions

Build clients that behave consistently across resources.

  • JSON request and response bodies with explicit content type
  • Cursor pagination for collections that change during traversal
  • UTC timestamps using ISO 8601
  • Idempotency keys for supported mutation operations
02

Error handling

Use machine-readable evidence without exposing sensitive internals.

  • Stable error code, human-readable message, and request identifier
  • Field-level details for validation failures
  • Retry guidance for rate limits and temporary unavailability
  • No blind retry for validation or authorization failures
03

Client resilience

Protect customer journeys and downstream systems.

  • Bounded exponential backoff with jitter
  • Connection pooling and explicit timeouts
  • Circuit breaking for non-critical dependencies
  • Reconciliation after ambiguous mutation outcomes

Technical example

Error response shape

Use the pattern as a starting point and align URLs, schemas, scopes, timeouts, and error handling with the contract for your environment.

json
{
  "error": {
    "code": "inventory_conflict",
    "message": "Requested quantity is no longer available.",
    "request_id": "req_01J...",
    "details": [{ "field": "items[0].quantity", "reason": "available_quantity_exceeded" }]
  }
}

Production readiness

The integration is not complete until the team can operate it.

  1. 01

    Generate or centralize client behavior instead of duplicating fetch logic

  2. 02

    Log request identifiers with the business operation

  3. 03

    Test rate-limit and ambiguous-timeout behavior

  4. 04

    Pin and review contract versions in release governance

Technical evaluation

Prove the risky workflows before production commitment.

Bring the target architecture, representative contracts, volume profile, security requirements, failure cases, and operating responsibilities. We’ll define the smallest useful proof.

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