[API Testing & Monitoring]: Expanded Bucket Usage Insights

The Bucket usage table has been enhanced to provide more meaningful insights into test activity and team behavior over time.

New columns include:

• “Last 90 Days” – Displays recent usage to help track active test execution patterns
• “Number of Tests” – Shows how many tests are currently contained in each Bucket

These updates offer clearer visibility into how Buckets are being utilized, making it easier to identify trends, spot underused resources, and improve test organization across your workspace.

AI-Powered Search for BlazeMeter Product Information

A new AI-powered search experience is now available on the BlazeMeter Help Center. Users can enter natural language questions directly on the homepage to receive AI-generated answers sourced from the most up-to-date BlazeMeter documentation and the Perforce Knowledge Base.

This enhancement helps users quickly find accurate, relevant information, streamlining troubleshooting and reducing time spent searching across resources.

[API Testing & Monitoring]: Warning Message for Conditional Loops Results

To improve transparency during test execution, BlazeMeter now displays a warning message on the Results screen when a test contains a Conditional Loop.

This message notifies users that live updates may appear incomplete while the test is running, and that final results will only be available once execution is complete. The warning automatically disappears once the test finishes.

This enhancement helps set expectations and reduces confusion when monitoring complex test flows in real time.

[API Testing & Monitoring]: Test Creator Info Now Displayed in UI

You can now view test creator details directly within the Test Settings screen. A new “Test Created” label displays the creation date, time, name, and email of the user who created the test.

This improvement enhances team collaboration, traceability, and auditing, especially in environments where multiple users manage shared test assets.