Autonomous E2E Testing
Test your app like a real user would.
Point an AI agent at your deployed app. It navigates pages, clicks around, and reports back with screenshots. Two API calls. No test scripts to maintain.
name: E2E Tests
on:
deployment_status:
jobs:
e2e:
if: github.event.deployment_status.state == 'success'
runs-on: ubuntu-latest
steps:
- name: Trigger eze2e
run: |
curl -s -X POST https://www.eze2e.app/api/v1/test \
-H "Authorization: Bearer ${{ secrets.EZE2E_API_KEY }}" \
-H "Content-Type: application/json" \
-d '{"url": "${{ github.event.deployment_status.target_url }}"}'
- name: Poll until done
run: |
# ... poll /api/v1/runs/:jobId
# exit 1 if decision != PASSNo selectors. No flaky tests.
The AI agent navigates your app, clicks buttons, fills forms, and verifies outcomes. No CSS selectors or XPath to maintain.
Works with any stack.
If it runs in a browser, we can test it. Next.js, Rails, Django, static sites—just point us at a URL.
Gate your deployments.
Integrate with GitHub Actions. Block merges when tests fail. Get detailed reports with screenshots and justifications.
Coming soon
Custom test instructions.
Tell the agent exactly what to test in plain English. “Sign up with a test email, add an item to cart, and check out.” Your rules, your flows.
Authenticated testing.
Give the agent credentials and let it test behind login walls. Test the flows your real users hit, not just the public pages.
Continuous learning.
The agent learns your app over time. Connect your repo, and it automatically updates its understanding on every PR—testing what actually changed, not everything from scratch.
Ready to stop writing brittle tests?
Start free