API Testing Overview

Automate REST API testing in ContextQA — request configuration, response validation, API chaining, and hybrid API-plus-UI test flows, all with no code.

Who is this for? Developers and SDETs who need to test REST APIs, validate response contracts, and chain API calls — including hybrid flows that combine API setup with UI verification.

ContextQA provides a built-in API testing layer that lets you write, execute, and validate REST API requests without leaving the platform. API steps live alongside UI steps in the same test case, which means you can build hybrid flows that call an endpoint and then verify the result in a browser — or seed data through an API before a UI workflow begins.

Quick answer

ContextQA API testing lets a team configure REST requests, assert status and response content, capture response values, and reuse those values in later API or UI steps. It is useful for contract validation, fast test-data setup, authentication-token chaining, OpenAPI-derived coverage, and end-to-end workflows that cross backend and frontend boundaries.

Watch the API testing overview.

Interactive demo: API testing overview

Explore the API testing workflow without signing in. The guided tour shows how a tester moves from a service request to response validation, reusable data, execution, and evidence.

What to notice

• Request configuration, response assertions, and reusable variables stay in one governed test definition.
• API tests can validate payload content and structure in addition to HTTP status.
• Results provide repeatable evidence that developers, SDETs, and release owners can review together.

What API testing covers

REST API requests. You can configure any HTTP method (GET, POST, PUT, PATCH, DELETE), set request headers, supply a JSON body, and capture the response in a named variable. All of this is done through the API testing panel inside the test case editor.

Response validation. Two validation modes are available:

• Payload validation — assert that a specific field in the JSON response matches an expected value. You point to the field using a JSON path expression (for example, result.email) and compare it against a string, number, or boolean.
• Structure validation — compare the entire response object against an expected shape. This catches unexpected additions or removals of fields across API versions.

Status code assertions are configured in the same validation section, letting you confirm a 200, 201, 401, or any other expected code in the same step.

Variables and secrets. Store reusable secrets in an approved environment or secret store, then insert them through the step editor's variable picker. Values captured from an earlier API response use ${variable.path} syntax. This keeps credentials out of request definitions and lets tests use fresh runtime tokens.

API chaining. Responses from one API step are stored in named variables and can be read by any later step — API or UI. The canonical pattern is a POST /auth call that captures a short-lived access token, which is then injected into the Authorization header of subsequent requests. Field values extracted from an API response can also be typed into UI form fields, closing the loop between backend and frontend validation.

Swagger / OpenAPI import. ContextQA can use a supported specification to generate candidate API tests. Compare the saved cases with an operation-and-assertion matrix, then configure authentication, fixtures, and business expectations. Import success does not establish complete endpoint or status-code coverage; see OpenAPI contract testing.

Hybrid test flows. API and UI steps coexist in a single test case. A typical pattern: call an API to create a resource, capture the resource ID, navigate to the corresponding UI record page using that ID, and assert the data is rendered correctly.

In this section

Page	What it covers
Creating API Tests	Configuring requests, using variables, sending calls, Swagger import
Validating Responses	Payload validation, structure validation, status codes, headers
API Chaining	Extracting response values and passing them between steps
OpenAPI Contract Testing	Reviewing generated coverage, schema checks, business rules, and execution evidence

When to use API testing in ContextQA

• Validate that backend changes have not broken published contracts before merging a PR
• Set up test state (create records, generate tokens) faster than a UI flow would allow
• Assert API behavior in parallel with UI behavior in the same test run
• Generate candidate cases from an existing OpenAPI spec and review their coverage

ContextQA API testing compared with browser testing

API testing	Browser testing
Validates an endpoint, response, and contract directly	Validates the rendered user experience and browser behavior
Creates or queries test state quickly	Proves that users can complete the workflow through the interface
Captures response data for later steps	Captures screenshots, video, browser logs, and rendered assertions
Best for service behavior and backend setup	Best for user journeys and frontend integration

Use both in one test when an API can prepare the state efficiently and the browser must verify the visible outcome.

Frequently asked questions

Which HTTP methods can ContextQA API tests use?

The documented request builder supports GET, POST, PUT, PATCH, and DELETE requests, with headers, a request body where applicable, response storage, and validations.

How does API chaining work?

Store an earlier response under a variable name, then reference the required field in a later request. A common example captures an authentication token from a login response and inserts that live value into the next request's authorization header.

Can ContextQA generate tests from Swagger or OpenAPI?

Yes. ContextQA can use a supported Swagger or OpenAPI source to propose API test coverage. Review the generated cases and their expected responses before adding them to a shared suite or release gate.

Can API and browser steps exist in the same test?

Yes. API and UI steps can form one hybrid flow. For example, create a record through an API, store its identifier, open that record in the browser, and verify the rendered data.

Where should API credentials and tokens be stored?

Use the approved environment, variable, or secret-management workflow for the workspace. Do not put reusable credentials directly in test descriptions, request examples, screenshots, or documentation.

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