| What it does | AI agents that prevent production incidents by verifying changes and investigating alerts
| Catch where AI agents get stuck on your API or MCP server, rank problems by impact, and draft fixes as pull requests
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| Stage | Not given
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| Founded | 2023
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| Based in | US
| US
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| Pricing model | Paid
| Freemium
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| Pricing | Team $700/month (1,400 credits), Pro $1,500/month (3,000 credits), Scale $3,000/month (6,000 credits), Enterprise custom annual billing. Change verification costs 2 credits ($1), issue investigation costs 10 credits ($5), chat requests 1 credit per started minute after first 30 seconds ($0.50/minute
| Open source: free. Team: $199/month with 14-day free trial (1 API or MCP service, 25,000 reports/month, 15 coding-agent runs/month). Business: $799/month (up to 3 services, 250,000 reports/month, 60 coding-agent runs/month). Extra coding-agent runs: $6 each.
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| Key features | - Production change verification with up to 14-day monitoring
- Automated root cause analysis for production issues
- Fix pull request generation with production evidence
- Environment graph mapping services and dependencies
- Alert deduplication and false positive dismissal
- Operational memory accumulating across investigations
- Integration with Slack, Microsoft Teams, and web app
- SOC 2 Type II compliance and read-only by default
- MCP (Model Context Protocol) server support
- Custom agents and alert routing
| - Session replay for MCP servers to identify failed agent sessions
- Clustering reports by agent goals and workflows
- Priority ranking weighted by frequency, failed workflows, and affected accounts
- Claude Code generates pull requests with tests
- Review queue with diff, tests, agent reports, and evidence
- Isolated git worktree prevents unauthorized code push
- Schema validation and rate limiting for feedback
- Open Agent Feedback Protocol with TypeScript and Python SDKs
- GitHub integration for draft PR creation
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| What makes it different | - Verifies production changes against real traffic for up to 14 days
- Hands off fix pull requests with production evidence for review
- Closes false positives and investigates only real production issues
- Learns from each fix and compounds knowledge across the team
- Read-only by default with full audit trails and SOC 2 Type II compliance
| - Only AI agent failures on successful HTTP responses get detected and ranked
- Automated pull request drafts with your approval required before shipping
- Session replay captures failures even when agents don't report them
- Pay only for coding-agent runs, not feedback submission
- Open protocol and SDKs can be self-hosted at no cost
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 47 ● no change since last check | 1 ● no change since last check |
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| Trust Flow (Majestic) | 11 | 1 |
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| Citation Flow (Majestic) | 36 | 14 |
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| Referring domains (Majestic) | 265 | 4 |
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Cleric
Backloop