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Traccia vs Argentic

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Traccia compared with Argentic
DetailTraccia logo TracciaArgentic logo Argentic
What it doesAI Agent Control Plane: Observability & Governance An engine for long-running agents that rebuilds its prompt under a cap and runs on your budget
StageNot given MVP
FoundedNot given Not given
Based inIN Not given
Pricing modelFreemium Freemium
PricingFree 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.
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
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
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)24 −1 (down) since last checkNot checked yet no change since last check
Trust Flow (Majestic)60
Citation Flow (Majestic)319
Referring domains (Majestic)1594

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