# Composal vs Checksum

Evaluate how a suite is derived and how new behavior gets covered. Composal offers explicit Scenarios and separate Discovery and Deep Scan workflows for mapping journeys and exploring failures.

## Composal

Composal sends AI browser agents to use your running web app and check the outcomes you care about. Define journeys as plain-English Scenarios, map existing flows with Discovery, or explore for bugs with Deep Scan. Runs keep recordings and reproduction steps so your team or coding agent can investigate a Finding.

[Verify documentation](https://composal.com/docs/verify)

## Checksum

AI-generated regression coverage

Checksum creates AI-generated Playwright and API tests and helps maintain regression coverage as an application changes. Its published workflow addresses test creation and ongoing suite maintenance.

## What each tool does

| Workflow | Composal | Checksum |
| --- | --- | --- |
| [Run browser journeys](https://composal.com/product/scenarios) | ✓ Yes: Run saved browser Scenarios and return recordings and reproducible Findings. | ✓ Yes: Runs automated checks against application behavior. |
| [Map application workflows](https://composal.com/product/discovery) | ✓ Yes: Discovery maps key application areas and user journeys. | – Not confirmed: Check whether this product includes this workflow in your intended plan and setup. |
| [Explore for unexpected issues](https://composal.com/product/deep-scan) | ✓ Yes: Deep Scan explores the running application and reports reproducible issues. | – Not confirmed: Check whether this product includes this workflow in your intended plan and setup. |
| [Describe checks in plain English](https://composal.com/product/scenarios) | ✓ Yes: Author Scenarios around the intended user outcome, then review the steps and expected results. | – Not confirmed: Check whether this product includes this workflow in your intended plan and setup. |
| [Run or inspect from a terminal](https://composal.com/product/cli) | ✓ Yes: Use the CLI to start and inspect verification runs and their Findings. | – Not confirmed: Check whether this product includes this workflow in your intended plan and setup. |

With setup means you supply code or configuration. Not confirmed means support for this workflow needs checking with the vendor.

## Where each fits

Consider Checksum for its approach to generating regression coverage. Consider Composal when teams want to specify expected outcomes directly and investigate behavior beyond the saved journeys.

## Try this evaluation

Provide a new feature with no historical traffic and an existing high-traffic flow. Compare the coverage created for each, editable expectations and failure evidence.

### Coverage

Which user outcomes must this release prove, and which specialist checks must stay in your existing stack?

### Setup

Who prepares accounts, test data, permissions and access to the deployment being tested?

### Evidence

Can the engineer reproduce a reported failure from the recording and steps, without asking the tester to investigate again?

### Ownership

Who updates the checks when the product changes, and can the team review what a passing result actually proves?

## Related comparisons

- [Composal vs Testers.ai](https://composal.com/compare/composal-vs-testers-ai.md)
- [Composal vs mabl](https://composal.com/compare/composal-vs-mabl.md)
- [Composal vs Tricentis Testim](https://composal.com/compare/composal-vs-testim.md)

[All comparisons](https://composal.com/compare.md)