| What it does | See which AI agents use your product, where they fail, and what to fix
| Context gateway that gives coding agents verified codebase knowledge to skip rediscovery and work faster
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| Stage | Startup
| Not given
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| Founded | Not given
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| Based in | Not given
| US
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| Pricing model | Free trial
| Freemium
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| Pricing | 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).
| Standard: Usage-based pricing with 25 free credits at signup, unlimited repos and run minutes. Enterprise: Outcome-based pricing with all Standard features plus self-hosted licensing, SSO/SAML, audit logs, private runners, and advanced support.
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| Key features | - 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
| - Verified context injection for coding agents
- Automatic repository baseline generation and validation
- Genome context graph showing dependencies and risk
- DocuSOR MCP for agent context access
- Pull request status checks and gating
- Documentation claim testing for README and runbooks
- Isolated cloud sandbox for validation runs
- GitHub App integration with read-only repository access
- SOC 2 Type 1 compliance
- TLS encryption in transit and at-rest data protection
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| What makes it different | - 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
| - 77% faster agent execution compared to manual repository exploration
- Up to 64% lower token costs measured on Claude Opus 5.5
- 100% deterministic validation without LLM/RAG dependencies
- Automatic context sharing across all agents via MCP
- Works with any coding agent through standard MCP protocol
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 5 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 4 |
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| Citation Flow (Majestic) | 0 | 17 |
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| Referring domains (Majestic) | 0 | 9 |
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AgentStats
DocuSOR