API Mock

Overview

API Mock is a simulated API implementation that returns controlled responses without invoking the real backend. It is used to support early development, deterministic tests, demonstrations, and failure simulation. It differs from an API sandbox, which is usually a provider-operated test environment with more real workflow behavior.

A typical implementation works as follows: The mock reads a contract or configured rules, matches incoming requests, and returns example, generated, or scripted responses for selected scenarios. Coverage reporting for API Mock should identify unsupported production behaviors rather than presenting sandbox success as complete readiness.

Common risks include unrealistic latency and permissive validation. Important failure modes include unrealistic latency, permissive validation, missing side effects, stale schemas, and hard-coded happy paths. These failures can hide production defects.

Core controls require teams to generate from versioned contracts, validate requests, simulate errors and timing, version scenarios, and complement mocks with sandbox and integration testing. Test data, credentials, endpoints, and callbacks used for API Mock should remain clearly separated from production resources.

Operational evidence should include mock version, contract revision, scenario, request match, generated response, latency, and test result. API Mock should be documented alongside API Testing, API Sandbox, and API Contract. The API Mock plan should include expected results and assertions for both technical responses and the resulting application state.

Scenario data for API Mock should be repeatable, isolated, and safe to reset without affecting live customers or balances. The API Mock evidence should retain environment, scenario, version, request and event IDs, observed result, and reviewer decision.