| What it does | AI Agent Control Plane: Observability & Governance
| AI model of your product's business logic accessible to people and AI agents
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| Stage | Not given
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| Founded | Not given
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| Based in | IN
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| Pricing model | Freemium
| Freemium
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| Pricing | Free plan: $0/month with 50K events/month and 7-day retention. Team plan: $299/month with 2M events/month and 90-day retention. Business plan: $799/month with 10M events/month and 1-year retention. Enterprise plan: Custom pricing with volume pricing, custom retention, and unlimited policies.
| Free: 10,000 starting credits plus 1,000 per month. Engineering: $29 per active developer per month with 30,000 pooled credits each month. GitMir Vibe: $9 per person per month. Cloud Compute: $99 per project per month. MeetAI: $49 per project per month. GoBots: $99 per venture per month. Market: $49
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| Key features | - Unified Agent Registry across LangChain, CrewAI, and OpenAI Agents SDK
- End-to-End OpenTelemetry-native tracing with full execution visibility
- Accurate cost tracking across 2,500+ models independent of trace sampling
- PII and sensitive data detection with optional redaction and hard blocks
- Prompt registry with versioning, comparison, and production label protection
- Datasets, scorers, and experiment framework with evidence-attached promotion
- Framework-agnostic design supporting dynamic agent identity and multi-agent systems
- Real-time health scores and dashboard for agent performance monitoring
| - Builds features, rules and customer paths and keeps them current with every push
- Shows what each commit changed in the business logic, not only in the code
- Provides change impact analysis before merge showing what could break
- Checks PRDs and specifications against the product
- Delivers understanding to AI agents over MCP
- Runs locally on your machine with GMM Local
- Finds risky patterns and problems in the product
- Enterprise deployment inside your security boundary
- Integrates with Claude Code, Cursor, Codex and VS Code
- MCP access for agents with 1-10 credits per answer
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| What makes it different | - Only platform that enforces policies mid-execution instead of alerting after the fact
- Zero runtime overhead guardrail detection using passive span processor inspection
- Accurate cost totals at any sampling rate through OTEL metrics per LLM call
- Framework-agnostic and portable through OpenTelemetry-native SDK design
- Enterprise-grade security with SOC 2 Type II and RBAC built in
| - Nearly 3× fewer errors on Benchmark 001 compared to alternatives
- 8.4K tokens per question instead of 27.4K for competitors
- Results published and measurable; method is proprietary
- Reduces AI cost per completed agent action from $0.35 to $0.08
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 24 ▼ −1 (down) since last check | 27 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 3 |
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| Citation Flow (Majestic) | 31 | 28 |
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| Referring domains (Majestic) | 159 | 50 |
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Traccia
GitMir