| 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
| Catch your AI agents' mistakes, block the dangerous ones
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| Stage | Not given
| Startup
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| Founded | Not given
| 2026
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| Based in | US
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| Pricing model | 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: $0/month with 5,000 conversations/month, Langfuse or LangSmith integration, problems and Slack alerts, rules that block costly actions, no credit card required. Starter: $49/month for 25,000 conversations/month plus email support. Growth: $149/month for 100,000 conversations/month plus priorit
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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
| - Monitor AI agent conversations without code by connecting Langfuse or LangSmith
- Judge conversations on six criteria: accuracy, goal alignment, decision quality, completeness, helpfulness, and factuality
- Create code-based rules that block risky actions before they run
- Group failures into problems with suggested rules and failure counts
- Send Slack alerts for serious mistakes and reply checks immediately
- Add to agents with one line of Python code for OpenAI Agents SDK, LangChain and LangGraph
- Mask sensitive data like email addresses, phone numbers and card numbers before sending to Kalytera
- Rules continue running offline if Kalytera goes down
- Correct judge verdicts by marking conversations as passed or failed
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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
| - Rules are code-based, not AI, so they cannot be overridden or argued with
- No code setup using Langfuse or LangSmith connections for immediate visibility
- Rules continue protecting agents even when Kalytera is offline
- Catches exact mistakes from real AI agent incidents like database deletes, account takeovers and crypto theft
- Customer data stays on your servers; Kalytera only reads conversations, never writes or stores sensitive data
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 59 ▲ +3 (up) since last check | 1 ● no change since last check |
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| Trust Flow (Majestic) | 27 | 0 |
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| Citation Flow (Majestic) | 41 | 14 |
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| Referring domains (Majestic) | 938 | 28 |
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