| What it does | AI QA agent for regression testing websites
| Platform to evaluate, trace, monitor and security test AI agents
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| Stage | Not given
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| Founded | Not given
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| Based in | US
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| Pricing model | Not given
| Freemium
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| 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.
| Free plan at $0 forever with 5,000 spans/month, 25 test runs/month, 100 evaluator executions/month, 2 custom evaluators, 5 datasets, 2 prompts, 5 users, 3 projects, 7-day data retention. Pro plan at $39 per month with 200,000 spans/month plus $5 per 100k additional spans, 100 test runs/month, 5,000
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| 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
| - Observability and tracing of every LLM call, tool invocation and decision point with latency, cost and token usage metrics
- Evaluation to score agent answers before release against traces that broke
- Simulation to test agents with realistic users before launch
- Red teaming to find injection, tool abuse and data leaks before launch
- Prompt management with versioning and deployment controls
- Online evaluation to score real conversations in production
- Agent Insights to spot patterns and detect drift
- Real-time alerts on cost, latency, errors and quality regressions
- Support for 14+ LLM providers and 12+ frameworks
- MCP server for querying and debugging traces from inside IDE
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| 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
| - Single platform that covers the entire AI agent lifecycle from prompt management through production monitoring, instead of scattered tools
- Built on OpenTelemetry standards for native observability across frameworks you already use
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 10 ▲ +2 (up) since last check | 13 ▼ −1 (down) since last check |
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| Trust Flow (Majestic) | 3 | 10 |
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| Citation Flow (Majestic) | 27 | 26 |
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| Referring domains (Majestic) | 18 | 32 |
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HiTest
Netra