| What it does | AI QA agent for regression testing websites
| Independent verification for AI agent outcomes
|
|---|
| Stage | Not given
| Startup
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | US
| Not given
|
|---|
| Pricing model | Not given
| Freemium
|
|---|
| Pricing | Free: 200 lifetime credits, 1 project, 1 member. Starter: $33/mo (billed annually at $396/year), 2,000 credits/month, 3 projects, 3 members. Team: $84/mo (billed annually at $1,008/year), 5,000 credits/month, 10 projects, 10 members. Business: Custom pricing for larger teams.
| Hobbyist: free forever with 250 checks/month; Pro: $9/month with 2,500 checks/month, $0.01 per extra check
|
|---|
| Key features | - Explore user journeys and auto-generate test case drafts
- Run tests in a real browser with recording
- Test logged-in workflows with project test accounts
- Review failed steps, screenshots, and browser recordings
- Schedule test runs manually, on recurring schedule, or from deployment webhook
- AI-generated summary and actionable issue creation
- Test multiple projects with customizable coverage
- Team member management and access control
- Proxy access for network configuration
- Technical support via Slack
| - Independent outcome verification with VERIFIED, FAILED, or UNKNOWN status
- First-party adapters for Stripe, GitHub, Linear, Sentry, Resend, and HTTP endpoints
- MCP integration with Claude Code, Cursor, and any MCP host
- GitHub Actions required check that fails on unverified claims
- Audit trail storing claims, evidence, and verdicts separately
- Capability inspection before agents call tools
- Read-only credential access with AES-256-GCM encryption
- Continuous monitoring with watches every 5-10 minutes on Pro plan
- Evidence retention for 7 days on Hobbyist, 1 year on Pro
|
|---|
| What makes it different | - No test script maintenance required
- AI-powered test case generation from plain language descriptions
- Fast coverage for product-facing workflows without coding
- Evidence-driven failure debugging with recordings and context
- Designed for logged-in workflows and account context
| - Refuses to guess: returns UNKNOWN rather than false positives when evidence is unreachable
- Neutral gate between agent execution and success verification
- Runs the same way in production as in development
- Never needs write access, only reads authoritative state
- Structured audit trail for debugging and agent evaluation
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 10 ▲ +2 (up) since last check | 2 ● no change since last check |
|---|
| Trust Flow (Majestic) | 3 | 1 |
|---|
| Citation Flow (Majestic) | 27 | 23 |
|---|
| Referring domains (Majestic) | 18 | 14 |
|---|
HiTest
DidWork