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You can keep frontend development moving by mocking only the API calls that are missing or unreliable, while leaving ready services connected to their real endpoints. Treat the mock as a temporary development dependency—not proof that the production API behaves as expected. Agree the contract first, route only the blocked calls to a mock, and test against the real service when it is available.

What partial API virtualization means

Here, “partial” describes a workflow, not a separate product or formal standard: simulate selected API dependencies while continuing to use real services for calls that are ready. A mock server returns controlled responses in place of an upstream service, letting client work proceed without waiting for every backend endpoint to be complete.

WireMock describes service virtualization as replacing real upstream services with controlled simulations so teams can develop and test without being blocked by availability, cost, or instability. Stoplight likewise says its Prism mock server lets frontend developers build against an API before the backend is complete. These are vendor descriptions of the approach, not quantified evidence of productivity gains.

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Start with the calls blocking a user flow

Choose the screen, interaction, or UI state the team needs to build next. Trace the API calls it depends on, then identify which are genuinely unavailable or unstable. Mock those calls; keep ready and useful services real. This avoids making the whole application depend on a mock when only one part of the flow needs a substitute.

Agree the API contract before creating responses

For each selected call, agree on the HTTP method and route, expected request fields, response shape, relevant status codes, and representative examples. An OpenAPI description can hold these details as a shared reference. Prism can generate responses from examples or schema and validate incoming requests; its documentation notes that the quality of the API description affects the usefulness of generated behavior. Read Prism’s HTTP mocking guide.

Decide what the frontend needs to handle, not just what makes the happy path render. Include validation errors, empty results, alternate status codes, and timeouts or latency when they affect the interface. For a flow that changes state across several requests, define the expected sequence and responses as part of the contract.

Choose a mock approach for the behavior you need

Need Approach What the documentation establishes
Generate responses from an OpenAPI description and validate requests Prism Open-source HTTP mock and proxy; can use examples or schema for responses and validate requests. The repository describes local CLI use and CI workflows. Prism repository
Use a hosted mock without operating a local server Stoplight hosted mocks Stoplight describes hosted mock servers. Check the current product plan and limits before relying on a particular availability or feature. Stoplight’s Prism page
Author custom stubs, record and replay, or simulate state and failures WireMock OSS Documentation covers JSON or Java stubs, recording, templated responses, basic scenarios, and fault simulation, with JAR, Docker, and Kubernetes deployment approaches. WireMock service virtualization
Share hosted mock endpoints across a team or CI WireMock Cloud WireMock describes shared APIs and workspaces, OpenAPI integration, drift detection, statefulness, a chaos module, governance, and a hybrid Runner. See the WireMock service-virtualization documentation for its account of these capabilities.

There is no universal best choice established by these product documents. Compare tools against your workflow: contract integration, how examples and schemas shape responses, request and response validation, custom state and failure behavior, local versus hosted operation, sharing across developers and CI, and how you will detect differences from the real service.

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Route only the selected calls to the mock

  1. Make the call selection explicit. List the endpoint or endpoints the UI flow cannot yet use. Avoid switching unrelated traffic just because the mock server is available.
  2. Start the mock. For an OpenAPI-first workflow, Prism can create a mock HTTP server from the API description. For manually authored responses, recording and replay, or state and fault scenarios, WireMock documents those options. Use the relevant tool’s current setup instructions for your environment.
  3. Configure the frontend’s development environment. Point the selected calls to the mock and leave other ready calls directed at their real services. Keep the distinction visible in configuration so developers can tell which dependency is simulated.
  4. Exercise the UI states the contract covers. Check that the client sends the expected request and renders both successful and relevant non-happy-path responses.

How you route calls depends on the application and development setup; the cited tool documentation establishes mock capabilities, not a single frontend configuration path that applies to every project.

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Replace the mock with real integration checks

A successful mock-driven UI flow shows that the frontend can work with the response the mock provides. It does not establish that the production service returns that response, accepts the same request, or handles the same edge cases. When the endpoint is ready, run integration checks against the real service and compare its behavior with the agreed API description. Prism’s repository documents a validation proxy for finding discrepancies between an API description and traffic. See Prism’s repository documentation.

Keep the mock useful as a development and CI dependency, but treat mismatches as contract or implementation issues to resolve—not as evidence that the real integration already works.

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