| What it does | Catch where AI agents get stuck on your API or MCP server, rank problems by impact, and draft fixes as pull requests
| See which AI agents use your product, where they fail, and what to fix
|
|---|
| Stage | Not given
| Startup
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | US
| Not given
|
|---|
| Pricing model | Freemium
| Free trial
|
|---|
| Pricing | 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.
| Free trial for 14 days. Starter: $15/month (2 projects, 50k events/month, 30-day retention). Growth: $49/month (5 projects, 500k events/month, 90-day retention, up to 5 team members). Scale: $149/month (25 projects, 5M events/month, 1-year retention, unlimited team members).
|
|---|
| Key features | - 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
| - Monitor AI crawlers, website agents, MCP clients, APIs and CLIs
- Real-time dashboard showing tool calls, errors, latency and client details
- AI visibility: track what ChatGPT, Claude and Gemini say about your product
- MCP server integration for agents to query your analytics data
- SDKs for TypeScript, Python, Go, Rust, C#, Java, Swift and browsers
- Identifies silent agent failures hidden from logs and APM
- Never blocks request paths with background worker batching
- Weekly or daily AI reviews depending on plan
- Funnels, conversions and email alerts
|
|---|
| What makes it different | - 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
| - Only platform showing silent agent failures that return 200 OK status codes
- Covers six distinct data sources in one dashboard instead of scattered logs
- Agents can access dashboard via MCP server to self-fix their failures
- Installation takes five minutes with background worker approach never blocking request paths
- AI visibility shows what AI models actually say about your product with claim verification
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 1 ● no change since last check | Not checked yet ● no change since last check |
|---|
| Trust Flow (Majestic) | 1 | 0 |
|---|
| Citation Flow (Majestic) | 14 | 0 |
|---|
| Referring domains (Majestic) | 4 | 0 |
|---|
Backloop
AgentStats