Checksum AI

Checksum AI: agents that write, run, and heal your end-to-end tests

Checksum AI deploys testing agents that generate production-ready Playwright end-to-end tests, execute them, and — critically — maintain them as the application changes. Test maintenance is where most QA automation efforts die: selectors drift, flows change, and suites rot. Checksum's auto-healing agent detects failures, fixes the affected tests, and opens pull requests for review, with roughly 70% of broken tests resolving automatically.

The platform runs three cooperating agents. The E2E Agent bootstraps broad coverage fast — typically 100 to 150 tests in the first week. The CI Agent generates 50 to 200 targeted tests per pull request, aimed specifically at the code that changed. The API Agent extends coverage to thousands of endpoints with multi-endpoint verification. Pricing follows a Results-as-a-Service model based on the number of workflows maintained, with no per-seat or per-run fees.

Key Features

• E2E Agent that generates production-ready Playwright tests and keeps them healthy as the app evolves
• Auto-healing that detects failures, repairs tests, and opens PRs for review; about 70% of breakages resolve automatically
• CI Agent producing 50-200 tests per pull request targeted at changed code
• API Agent covering thousands of endpoints with multi-endpoint test verification
• Rapid bootstrap: roughly 100-150 tests generated in the first week of adoption
• Workflow-based pricing with no per-seat or per-run charges

Ideal Use Case

Engineering teams shipping quickly without a large dedicated QA organization — especially in regulated or trust-sensitive verticals like fintech, insurance, health, and legal tech where regressions are expensive. Checksum suits teams that tried Playwright or Cypress, got value, then drowned in maintenance: the agents take over both authoring and upkeep so coverage grows instead of decaying.

How Checksum AI differentiates

Checksum publishes a concrete customer roster rather than vague logos: more than 30 companies use it in production, including ActiveCampaign, LiveRamp, Lyra Health, Ketch, NAV, Branch, BuzzStream, and Caplight, spanning fintech, insurance, legal tech, travel, SaaS, and retail. Its economic model is also unusual for the category — pricing tied to workflows maintained rather than seats or test runs aligns Checksum's revenue with tests that keep working, not tests that merely get written.

FAQ

What testing framework does Checksum use? Checksum generates standard Playwright tests, so output is portable, reviewable code rather than a proprietary format.

What happens when a test breaks? The auto-healing agent diagnoses the failure, repairs the test, and opens a pull request for review; roughly 70% of breakages resolve without human work.

Does Checksum cover APIs as well as UI flows? Yes. The API Agent covers thousands of endpoints and verifies multi-endpoint interactions alongside browser-based end-to-end tests.

How is Checksum priced? On a Results-as-a-Service model based on the number of workflows maintained — no per-seat licenses and no per-run charges. Contact sales for a quote.

tl;dr

Checksum AI puts agents in charge of the whole testing loop — generating Playwright E2E and API tests, running them in CI, and auto-healing ~70% of breakages — priced by workflows maintained and used by 30+ companies including ActiveCampaign and LiveRamp.

Related

Looking for more options? Browse the Developer Tools directory or read our best AI coding tools listicle. Checksum AI is also tracked on Crunchbase.