New: the hosted MCP server is live. Connect your agent in one command.Read the docs →
StackResolve logoStackResolve

Compare

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

SignalLangfuseSigNoz
AgentReady5752
Discovery93100
Understanding3115
Adoption7052
Operability3541
Public APIYesYes
MCP serverYesYes
OpenAPI specUnknownUnknown
CLIYesYes
llms.txtYesYes
Self-serve signupYesUnknown
Free tierYesUnknown

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"]}