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Convex vs Vespa

Convex scores higher on the AgentReady, 61/100 against 56/100. They differ on 6 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Convex. The reactive backend platform that keeps up with you and your agents.

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 Convex is ahead

Convex passes no mandatory sales call and agent-compatible signup flow, 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 and agent compatibility verified. Vespa misses those.

Where Vespa is ahead

Vespa passes structured api reference and limits / constraints documented, and Convex does not. That is understand, whether an agent can read the docs and work out how the API behaves before calling it.

What neither does

Both fail mcp discoverable, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, programmatic credential creation, mcp integration available, structured, predictable output, machine-readable errors, idempotency support, rate-limit behavior predictable. 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. Both sit at 87/100 here. Convex misses mcp discoverable; Vespa misses mcp discoverable.

Understand. Vespa leads 46 to 23. Convex misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Vespa misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented.

Adopt. Convex leads 76 to 55. Convex misses programmatic credential creation, mcp integration available; Vespa misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, mcp integration available.

Operate is whether an agent can run against it in production and recover when a call fails. Convex leads 59 to 35. Convex misses structured, predictable output, machine-readable errors, idempotency support, rate-limit behavior predictable; Vespa misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Convex starts at $0/mo and has a free tier. Vespa starts at $0.05/hour with no free tier.

Signal by signal

Which to pick

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

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