Compare

Deepset vs Langfuse

Langfuse scores higher on the AgentReady, 57/100 against 44/100. They differ on 8 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Deepset. Deepset is a company that provides Haystack, an open platform to build, run, and govern AI agents and applications.

Langfuse. Langfuse is an open-source AI engineering platform that helps teams collaboratively debug, analyze, and iterate on their AI agent applications.

Where Deepset is ahead

Deepset 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.

Where Langfuse is ahead

Langfuse passes clear product positioning, public docs discoverable and llms-full.txt / full agent docs, and Deepset does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: limits / constraints documented. Deepset misses it.

And on adopt, fast time to first request, copyable quickstart and official typescript sdk. Deepset misses those.

What neither does

Both fail structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, structured, predictable output, machine-readable errors, retry behavior documented, 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 is whether an agent can find the product at all without being told it exists. Langfuse leads 93 to 67. Deepset misses clear product positioning, public docs discoverable, llms-full.txt / full agent docs; Langfuse misses clear canonical domain.

Understand. Langfuse leads 31 to 23. Deepset misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Langfuse misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented.

Adopt. Langfuse leads 70 to 50. Deepset misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart, official typescript sdk; Langfuse misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation.

Operate. Both sit at 35/100 here. Deepset misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Langfuse misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Deepset starts at $0/mo and has a free tier. Langfuse does not publish one and has a free tier.

Signal by signal

Which to pick

Langfuse clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Deepset and Langfuse. Alternatives to each: Deepset, Langfuse.

An agent can fetch this as data: POST /v1/compare {"slugs": ["deepset", "langfuse"]}