// agentic QA, built into your monitoring

Write the test once.
Never maintain it again.

Paste a URL and AI drafts a real-browser test of your critical journey. When your UI moves and a selector breaks, it heals itself. Every failure keeps a video. And CI gets a pass/fail check on the pull request — no Playwright to write, no scripts to babysit.

real Chromium · runs on schedule · opens incidents like any other monitor

from URL to running test in three steps

No test framework to learn. The autopilot does the first draft; you keep what you like.

point it at a page

Give the autopilot a URL. It opens the page in a real browser and reads what's actually there — headings, links, buttons, form fields — with stable selectors.

get a drafted flow

It proposes a multi-step journey — sign in, search, add to cart, check out — as clear steps you can edit in place or run exactly as drafted. No Playwright, no selectors to hand-write.

run it forever

Schedule it like any monitor. Every run drives real Chromium; a failed step opens an incident, pages on-call, and shows up on your status page — the whole platform, for free.

self-healing

Your UI moved. The test kept passing.

The number-one reason browser tests rot is a renamed button or a restructured page. When a step's selector stops matching, uptime.ooo inventories the live page and proposes the replacement that matches the original intent.

  • One-click apply from the failed run — see the old selector, the new one, and why.
  • Autonomous auto-heal: flip it on and high-confidence fixes apply themselves, then re-check — the incident resolves before you wake up.
  • Lower-confidence proposals wait for your judgment. It never guesses blindly.
  checkout flow — self-heal
 step 2 (click)  #buy-now-button
   selector no longer matches

▸ proposed fix  high confidence
   #buy-now-button#purchase-cta
   "Renamed purchase button — same intent"

 applied · re-checked · UP in 1.8s
 incident auto-resolved
forensics on every failure

See the break. Don't guess at it.

When a journey fails, "it's broken" isn't enough. Every failed run is captured end to end so you know exactly what the browser saw and did.

  • A video of the whole run, right up to the failing step.
  • A per-step trace — which step, which selector, the exact error.
  • A screenshot at the moment of failure, plus browser console errors.
  • Passing runs keep none of it — zero storage cost when everything's green.
  run #4821 — trace
 0  goto        /login          862ms
 1  fill        #email          40ms
 2  click       button[submit]  120ms
 3  assert_text .welcome        5003ms
      timeout — element not found
· 4  assert_url  /dashboard      skipped

▶ video.webm  ·  screenshot.jpg  ·  2 console errors
continuous integration

A real check on every pull request.

After your deploy step, one curl turns a monitor — or a whole suite of them — into a commit status on the PR. Pending the moment you ship, pass or fail when the journey actually runs against the preview. No GitHub App to install.

  • Deploy hooks run a check on demand instead of waiting for the interval.
  • Suite runs fire a whole monitor group and roll it up into one aggregated check.
  • Works from any CI — it's the same REST API key you already have.

see the developer surface →

  .github/workflows/deploy.yml
# after deploy, verify the checkout journey
curl -X POST \
  -H "Authorization: Bearer $UPTIME_KEY" \
  -d '{"github":{"repo":"you/app","sha":"'$SHA'"}}' \
  https://uptime.ooo/api/v1/monitors/<id>/run

# the PR check:
 uptime.ooo / checkout flow  — passed in 1716ms

the whole platform comes with it

A browser flow is just another monitor — so it inherits everything.

multi-step journeys

goto, click, fill, press, wait-for, and assert on text, URL, or title. Playwright auto-waiting under the hood; each step auto-retries up to its timeout.

incidents & paging

A failed flow opens an incident, runs your escalation policy, and pages the on-call — exactly like an HTTP check going down.

status pages

Put a critical journey on your public status page so customers see "checkout: operational," not just "the server responds."

early-warning

We watch each flow's latency against its own baseline and flag it when it starts sliding — before it fails outright.

paste-URL → flow self-heal auto-heal failure video per-step trace PR status checks suite runs deploy hooks

stop maintaining brittle tests.

$ start free

free plan includes a browser monitor · no credit card