AgentOps vs Lunary
On the evidence we track, Lunary leads this comparison with a composite score of 70/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for llm observability. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
AgentOps
A developer platform providing observability, debugging, and performance tracking for AI agents and language model applications across multiple frameworks and 400+ LLM providers.
Lunary
LeaderA platform for teams to monitor LLM performance, manage prompts collaboratively, and deploy AI agents with real-time performance tracking and cost analysis. Supports logging, prompt templates, agent monitoring, and integrations with popular LLM providers.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
AgentOps
Free tier for up to 5,000 events; Pro from $40/month
- BasicFree
- Agent Agnostic SDK
- LLM Cost Tracking (400+ LLMs)
- Replay Analytics
- ProFrom $40/month
- Unlimited event limit
- Unlimited log retention
- Session and event export
- Dedicated Slack and email support
- Role-based permissioning
- EnterpriseContact sales
- SLA
- Slack Connect
- Custom SSO
- On-premise deployment
- Custom data retention policy
- +4 more
Lunary
LeaderFrom $20/user/month cloud. Free self-hosted community edition.
- Team$20/user/mo, then $10/50k events and $0.05/query overage
- 50,000 events per month
- 300 AI Playground queries per month
- Unlimited projects
- 1 year history
- Prompt management
- +8 more
- EnterpriseContact sales
- SSO / SAML
- Granular Access Control
- 99.9% SLA
- White labeling
- Data Warehouse connectors
- +4 more
- Self-hosted CommunityFree
- Self-hosted EnterpriseContact sales
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- Langchain
- LiteLLM
- LlamaIndex
AgentOps
- CrewAI
- AG2 (AutoGen)
- Agno
- LangGraph
- OpenAI Agents SDK
- Cohere
- Llama Stack
- CamelAI
- AG2
- CAMEL
Lunary
Leader- Anthropic
- Flowise
- OpenRouter
- IBM WatsonX
- Mistral
- Grok
- Fireworks AI
- AWS Bedrock
- Azure OpenAI
- OpenAI
- Ragas
- Langflow
- PowerBI
- Tableau
- MySQL
- Amplitude
- Airbyte
- Segment
- Slack
- Zapier
- Redshift
- PostHog
- OpenLLMetry
- Databricks
- +5 more
AgentOps or Lunary: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.