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Beam vs Deepset

Beam scores higher on the AgentReady, 52/100 against 44/100. 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

Beam. Serverless GPU cloud platform for running AI inference, agents, and task queues with sub-second cold starts.

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

Where Beam is ahead

Beam 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.

Where Deepset is ahead

Deepset passes mcp discoverable, and Beam does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds adopt: mcp integration available. Beam 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, 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. Beam leads 87 to 67. Beam misses mcp discoverable; Deepset misses clear product positioning, public docs discoverable, llms-full.txt / full agent docs.

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

Adopt. Beam leads 55 to 50. Beam misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, mcp integration available; Deepset misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart, official typescript sdk.

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

Pricing

Beam starts at $0.0000418/sec and has a free tier. Deepset starts at $0/mo and has a free tier.

Signal by signal

Which to pick

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

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