| What it does | Agentic testing that writes end-to-end tests, runs them on your app after every change, and tells you exactly what broke
| Citations, built for 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 | Freemium
| Freemium
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| Pricing | Free: $0/mo with 150 credits per month, 1 environment, 30 days of run history. Starter: $0 first month then $19/mo with 400 credits per month. Standard (Popular): $39/mo with 800 credits per month, 3 environments, 90 days of run history. Pro (Recommended): $69/mo with 1,600 credits per month, unlimi
| Free tier for small requests with no API key required; 10 million free tokens to start; $1 per million tokens for pay-as-you-go, with discounts available at volume or with annual commitments; failed requests are never charged.
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| Key features | - Automatic end-to-end test generation from app exploration
- Continuous verification on code changes
- Root cause analysis and failure diagnosis
- Test auto-healing when UI changes
- Merge gate and continuous verification
- Scheduled test runs and monitoring
- Frontend and backend test generation
- API and advanced backend testing
| - Token-level attribution with confidence scores
- Works with any AI model without access to weights or internals
- Processes documents up to 1 million tokens
- Returns results in under 2 seconds for 20,000-token documents
- On-premise and air-gapped deployment options
- PDF support with character-level mapping
- Supports 23+ languages including Indian languages
- Chrome browser extension for page and PDF tracing
- Raw token-by-token heatmaps available via API
- No data logging or training on request content
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| What makes it different | - Writes complete test suites in minutes instead of weeks of manual test script development
- Catches regressions automatically by running on every code change
- Tests accumulate over time, maintaining coverage that grows with the app
- Verifies actual running app behavior, not mocked or simulated behavior
- Integrates seamlessly into existing workflows without changing development process
| - Measures attention directly from the model's computation rather than asking the model to cite itself, providing verifiable attribution
- Achieves frontier-grade citation quality at 7x lower cost and 5-6x faster than alternatives
- Never confused by duplicate facts—identifies the exact occurrence the answer used even when values appear multiple times
- Lands on exact tokens down to character level, not just document chunks
- Works on any model's output post-generation without modifying inference pipeline
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 59 ▲ +3 (up) since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 27 | 3 |
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| Citation Flow (Majestic) | 41 | 16 |
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| Referring domains (Majestic) | 938 | 36 |
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