Monitor results analysis helps you check if your API tests run well over time. It shows if your APIs work correctly and if any problems happen.
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Monitor results analysis in Postman
Introduction
You want to see if your API is always working as expected during the day.
You need to find out why an API test failed in the last run.
You want to check the performance of your API over several days.
You want to get alerts when your API stops working properly.
You want to share test results with your team automatically.
Syntax
Postman
Monitor results are viewed in the Postman app or web dashboard under the 'Monitors' tab. You can filter results by date, status (pass/fail), and test names. You can also export results as JSON or CSV for deeper analysis.
Monitor results include details like test status, response time, and error messages.
You can set up notifications based on monitor results to get alerts.
Examples
This shows how to check monitor results step-by-step in Postman.
Postman
1. Open Postman app or go to https://go.postman.co/monitors 2. Select your monitor from the list 3. View the recent runs with pass/fail status 4. Click a run to see detailed test results and logs
Filtering helps focus on problems quickly.
Postman
Use filters to find failed runs: - Click 'Filter' button - Choose 'Status: Failed' - Review failed tests to find issues
Sample Program
This test script checks if the API response status is 200 and the response time is under 500 milliseconds. When this request runs in a monitor, the results will show if these tests passed or failed.
Postman
// This is a Postman test script example inside a request pm.test('Status code is 200', () => { pm.response.to.have.status(200); }); pm.test('Response time is less than 500ms', () => { pm.expect(pm.response.responseTime).to.be.below(500); });
OutputSuccess
Important Notes
Always check monitor results regularly to catch issues early.
Use descriptive test names to understand results easily.
Combine monitor results with logs for better debugging.
Summary
Monitor results analysis helps track API health over time.
You can filter and review test runs to find failures quickly.
Good test scripts make monitor results clear and useful.