1. What Are API Mocks? #

API Mocks simulate real API behavior without calling the actual backend service. They allow teams to develop, test, and validate workflows even when real APIs are unavailable, unstable, or still under development.

Mocks help teams shift left, enabling early validation and reducing dependency on backend readiness.

2. Who Should Use Mocks? #

Mocks are useful for:

  • QA Teams – Test flows when backend APIs are incomplete
  • Frontend Teams – Develop UI before APIs are ready
  • Automation Engineers – Test negative and edge scenarios
  • DevOps Teams – Simulate services in CI/CD pipelines

3. How to Use API Mocks #

3.1 Step 1 – Select a Project #

Choose a project to manage its mock configurations.
Mocks are project-scoped to ensure environment-specific and API-specific control.

3.2 Step 2 – Create Mocks #

You can define mock responses for endpoints in two ways:

  • Static Responses → Fixed JSON output
  • Dynamic Responses → Templates using variables and logic

Mocks can be linked to existing endpoints or created as independent simulated services.

3.3 Step 3 – Test & Use #

Once created, you can:

  • Send sample requests to validate the mock response
  • Use mocks during automated test execution
  • Run mocks as a standalone server for external systems
4. Mock Features Overview #
4.1 Static & Dynamic Responses #
  • Return fixed JSON data
  • Use variables and templates for dynamic values (timestamps, IDs, etc.)
4.2 Standalone Mock Server #

Mocks can run independently, allowing external applications to consume simulated APIs.

4.3 Test Execution Integration #

During test runs, the system can automatically substitute real endpoints with mocks.

4.4 Condition-Based Responses #

Return different responses based on:

  • Query parameters
  • Headers
  • Request body values

This helps simulate:

  • Success scenarios
  • Failures
  • Edge cases
4.5 Endpoint Linking #
  • Attach mocks to real endpoints
  • Or create fully independent mock services
4.6 Easy Mock Testing #

Before deployment, test mock responses using built-in request simulation.

5. Where Mocks Are Used #

Mocks are commonly used in:

  • Early-stage feature development
  • Regression testing without environment dependencies
  • Testing failure and error conditions
  • Performance and load simulations
6. Best Practices for Using Mocks #
  • Use mocks when backend services are unstable
  • Keep mock data realistic
  • Test both success and failure scenarios
  • Remove or disable mocks when moving to production validation
7. What You Can Expect from Mocks #

With API Mocks, teams can:

Start testing earlier
Reduce dependency on backend readiness
Simulate complex real-world scenarios
Improve automation coverage
Deliver faster with fewer integration delays