AI-Powered Smart Integration Tests
Smart Integration Testing that monitors microservice APIs and alerts before they break, with tests that are simple to write and maintain
Modern API Integration Testing
Auto-Detect Contract Changes
Set up Tests that automatically compare API payloads between sandbox & baseline.
Low Maintenance
Run tests in both baseline and sandbox environments to reduce flaky behavior and improve test reliability over time.
AI-Driven Issue Prioritization
Test outputs and issues automatically get classified by AI models to surface the most relevant insights about each code change.
No Mocks Needed
Tests run on Sandboxes within your staging / production Kubernetes cluster with real dependencies and high-quality data.
Specify as Code
Define precise API scenarios with Starlark’s simple syntax and trigger them as you make code changes.
Integrates with Pull Requests
Integrates directly with VCS providers to provide feedback on pull requests, catching issues with each code change.
Setting up Smart Tests
1
Write code in Starlark to monitor your APIs and set up triggers for automatic test execution.
2
Set up your CI pipeline to automatically create sandboxes for each pull request, containing the microservice built from your changes.
3
The system runs tests on both your sandbox and baseline environments, gathering data from your reference and test runs for comparison.
4
Our AI model analyzes the outputs from both your reference (baseline) and sandbox runs, reducing flakiness and enhancing your test reliability. You receive key findings, actionable insights, and feedback on your test quality to continuously improve your testing process.
Powered by AI
Use our AI model to maintain your tests and ensure high quality. It automatically runs tests on both baseline and sandbox environments, identifies inconsistencies, reduces flakiness, and provides actionable insights to improve your testing strategy.
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