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Riverqueue vs Vespa

Vespa scores higher on the AgentReady, 56/100 against 45/100. They differ on 7 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Riverqueue. Fast and reliable background jobs in Go.

Vespa. Vespa.ai develops the Vespa AI Search Platform, a distributed serving engine that unifies retrieval, ranking, machine learning inference, and real-time serving for business-critical AI applications.

Where Riverqueue is ahead

Riverqueue passes no mandatory sales call, and Vespa does not. That is adopt, whether an agent can get a key and make its first successful call without a human in the loop.

It also holds operate: retry behavior documented. Vespa misses it.

Where Vespa is ahead

Vespa passes clear product positioning, and Riverqueue does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: structured api reference. Riverqueue misses it.

And on adopt, self-service signup and fast time to first request. Riverqueue misses those.

Finally, on operate, observable execution. Riverqueue misses it.

What neither does

Both fail mcp discoverable, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, agent-compatible signup flow, programmatic credential creation, mcp integration available, 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. Vespa leads 87 to 73. Riverqueue misses clear product positioning, mcp discoverable; Vespa misses mcp discoverable.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. Vespa leads 46 to 31. Riverqueue misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented; Vespa misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented.

Adopt. Vespa leads 55 to 48. Riverqueue misses self-service signup, agent-compatible signup flow, programmatic credential creation, fast time to first request, mcp integration available; Vespa misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, mcp integration available.

Operate. Vespa leads 35 to 29. Riverqueue misses structured, predictable output, machine-readable errors, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; Vespa misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Riverqueue does not publish a machine-readable starting price and has a free tier. Vespa starts at $0.05/hour with no free tier.

Signal by signal

Which to pick

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

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