Langfuse vs SigNoz
Langfuse scores higher on the AgentReady, 57/100 against 52/100. They differ on 9 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.
What each one is
Langfuse. Langfuse is an open-source AI engineering platform that helps teams collaboratively debug, analyze, and iterate on their AI agent applications.
SigNoz. One-stop platform for all your observability needs.
Where Langfuse is ahead
Langfuse passes pricing understandable and limits / constraints documented, and SigNoz does not. That is understand, whether an agent can read the docs and work out how the API behaves before calling it.
It also holds adopt: self-service signup, free trial or free allowance, fast time to first request and copyable quickstart. SigNoz misses those.
Where SigNoz is ahead
SigNoz passes clear canonical domain, and Langfuse does not. That is discover, whether an agent can find the product at all without being told it exists.
It also holds adopt: no mandatory sales call. Langfuse misses it.
And on operate, retry behavior documented. Langfuse misses it.
What neither does
Both fail structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, agent-compatible signup flow, programmatic credential creation, structured, predictable output, machine-readable errors, idempotency support, rate-limit behavior predictable, agent compatibility verified. If your agent needs any of those, you will be building it yourself either way.
Score, pillar by pillar
The AgentReady splits into four pillars, scored separately, because a product can be easy to find and still impossible to adopt.
Discover. SigNoz leads 100 to 93. Langfuse misses clear canonical domain; SigNoz misses nothing.
Understand. Langfuse leads 31 to 15. Langfuse misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented; SigNoz misses structured api reference, openapi / spec quality, authentication documented, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.
Adopt is whether an agent can get a key and make its first successful call without a human in the loop. Langfuse leads 70 to 52. Langfuse misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation; SigNoz misses self-service signup, agent-compatible signup flow, programmatic credential creation, free trial or free allowance, fast time to first request, copyable quickstart.
Operate. SigNoz leads 41 to 35. Langfuse misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; SigNoz misses structured, predictable output, machine-readable errors, idempotency support, rate-limit behavior predictable, agent compatibility verified.
Pricing
Langfuse does not publish a machine-readable starting price and has a free tier. SigNoz does not publish one.
Signal by signal
| Signal | Langfuse | SigNoz |
|---|---|---|
| AgentReady | 57 | 52 |
| Discovery | 93 | 100 |
| Understanding | 31 | 15 |
| Adoption | 70 | 52 |
| Operability | 35 | 41 |
| Public API | Yes | Yes |
| MCP server | Yes | Yes |
| OpenAPI spec | Unknown | Unknown |
| CLI | Yes | Yes |
| llms.txt | Yes | Yes |
| Self-serve signup | Yes | Unknown |
| Free tier | Yes | Unknown |
Which to pick
Langfuse clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Langfuse and SigNoz. Alternatives to each: Langfuse, SigNoz.
An agent can fetch this as data: POST /v1/compare {"slugs": ["langfuse", "signoz"]}