Kosmoy AI Observability
5.2#31 in ai agent observability toolsWebAPISelf-hosted
VisitKosmoy AI Observability vs Langfuse
What both publish
| Fact | Kosmoy AI Observability | Langfuse |
|---|---|---|
| Evaluation | Production traces can be sampled into online evaluations, while offline evaluations run against datasets; failed evaluations link to their trace. | Evaluation features include LLM-as-a-judge, code evaluators, user feedback, manual labeling, datasets, and experiments. |
| Headquarters | Milan, Italy | Berlin, Germany; San Francisco, United States |
| Integrations | The platform page lists integrations including OpenAI, Anthropic, Google, Azure AI Foundry, AWS Bedrock, MCP servers, A2A peers, Snowflake, Databricks, Pinecone and Weaviate. | Langfuse lists more than 100 integrations spanning OpenTelemetry, Python and TypeScript, model providers, agent frameworks, gateways, and developer tools. |
Kosmoy AI Observability plans
- EnterprisePriced on request
Langfuse plans
- HobbyFree
- Core$29 a month
- Pro$199 a month
- Teams Add-on$300 a month
- Enterprise$2,499 a month
Pick Kosmoy AI Observability if…
You want what its maker publishes above — check its page for the details.
Pick Langfuse if…
Langfuse suits teams building AI agent applications that need tracing, prompt management, and evaluation tools. It also supports teams that want to self-host the core on their own infrastructure.