Axiom
AI-native observability with LLM cost and agent tracing built in.
About
Axiom is an event data platform for logs, traces, and metrics built on a purpose-built EventDB with high compression and serverless querying. It ingests petabyte-scale event data with zero sampling and offers an Axiom Processing Language for flexible querying, distributed tracing via OpenTelemetry, and usage-based pricing with a free tier.
Axiom differentiates itself as purpose-built for AI engineering: native multi-step agent workflow tracing, automatic LLM cost and token tracking across providers, a pre-built AI dashboard, an @axiomhq/ai TypeScript SDK, and an MCP server giving AI agents real-time observability data. Its console adds AI-powered features like natural language querying and intelligent insights.
What it can do
- Multi-step AI agent workflow tracing with waterfalls
- Automatic LLM cost and token tracking per model and user
- MCP server for AI agent access to observability data
- Natural language querying and AI-powered console insights
- Zero-sampling ingestion with 25-50x compression
Setup
Sign up and ship data via the Axiom CLI, SDKs, or OpenTelemetry; generous free tier included.
Prerequisites
None; usage-based pricing with automatic volume discounts.
Use cases
Works with
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 124; Trending score 82/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.