Audit intermediate Works with: Any AI

Postman Test Coverage and Quality Audit

Table output Has example

• 📮 Postman

Check that tests cover the API behaviour that matters.

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Audit tests in a collection. List of endpoints and the tests present for each (status, schema, values, errors, auth, performance): [TEST_MATRIX]. Recent production incidents related to the API: [INCIDENTS].

Build a coverage matrix and compute coverage as the share of endpoints with each test type, with arithmetic. Judge quality: for each existing test type, name an example that would still pass if the API were broken, indicating a weak assertion; also look for tests that depend on order, use production data, or use hard-coded IDs. Map incidents to missing tests, and list the ten tests to write first, ranked by the damage a failure would cause and the incidents I described, each with a one-line description and expected result. Prefer a few meaningful tests to many weak ones. Prove a test works by changing the expected value and confirming it fails.

Return a table, a plan, a coverage target and review date. Example (invented, 20 endpoints): status test 20 of 20 (100 percent), schema test 9 (45 percent), error cases 6 (30 percent).

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Invented matrix of 20 endpoints. Status test: 20 of 20 (100 percent). Schema test: 9 (45 percent). Error cases: 6 (30 percent). Authorisation test: 4 (20 percent). Performance threshold: 2 (10 percent).
Quality check: 5 status tests would still pass if the body were empty; 3 tests depend on a record that may not exist. Incidents last quarter: 2, both a missing field in a response, which a schema test would have caught. First ten tests to write: schema for orders, customers; authorisation for three endpoints; error cases for create order.

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