| What it does | AI Agent Control Plane: Observability & Governance
| An engine for long-running agents that rebuilds its prompt under a cap and runs on your budget
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| Stage | Not given
| MVP
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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.
| Prototype: free during beta, then from December 16, 2026 it costs $1 per 1,000 agent calls after 1,000 monthly included calls. Production: $20 a month with 20,000 agent calls included, then $1 per 1,000 calls after that. Top-ups: $1 per 1,000 calls, from $10 to $500 at a time, never expiring.
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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
| - Prompt rebuilt from journal under token cap at each step to keep it bounded as history grows
- Spending limits checked before each model call at token prices you declare
- Resume after crash without repeating finished actions
- Tool calls returned as actions for your code to carry out
- Proof of what ran: check prompts, re-run engine, download hash-chained journal
- Integrations with Vercel AI SDK, OpenAI Agents SDK, LangGraph, Mastra, Pydantic AI
- MCP server for Claude Code, Claude Projects and Codex
- Works with any model via bring-your-own-key
- TypeScript and Python clients for HTTP API access
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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
| - Bounded prompt under a fixed cap while history grows, so costs per call stop climbing on long sessions
- Every run recorded with cryptographic proof: rebuilable prompts, hash-chained journal, re-runnable engine
- Resumes from crash without repeating finished actions using stable idempotency keys
- Budget enforcement before each model call, not reactive overage billing
- No model key storage or logging; your provider bills you directly
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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 |
| DR (Domain Rating by Ahrefs) | 24 ▼ −1 (down) since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 6 | 0 |
| Citation Flow (Majestic) | 31 | 9 |
| Referring domains (Majestic) | 159 | 4 |