Compare

OpenAI vs Vespa

OpenAI scores higher on the AgentReady, 72/100 against 56/100. They differ on 16 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

OpenAI. OpenAI is an AI research and deployment company focused on developing frontier intelligence models and making them accessible through products like ChatGPT and an API platform.

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 OpenAI is ahead

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

It also holds understand: authentication documented. Vespa misses it.

And on adopt, mcp integration available. Vespa misses it.

Where Vespa is ahead

Vespa passes search discoverable, clear canonical domain, clear product positioning, public docs discoverable and llms-full.txt / full agent docs, and OpenAI 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 and limits / constraints documented. OpenAI misses those.

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

Finally, on operate, canonical workflow succeeds and observable execution. OpenAI misses those.

What neither does

Both fail openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, no mandatory sales call, 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. Vespa leads 87 to 67. OpenAI misses search discoverable, clear canonical domain, clear product positioning, public docs discoverable, llms-full.txt / full agent docs; Vespa misses mcp discoverable.

Understand. OpenAI leads 67 to 46. OpenAI misses structured api reference, openapi / spec quality, 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 is whether an agent can get a key and make its first successful call without a human in the loop. OpenAI leads 88 to 55. OpenAI misses no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, official typescript sdk, official python sdk; Vespa misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, mcp integration available.

Operate. OpenAI leads 67 to 35. OpenAI misses canonical workflow succeeds, structured, predictable output, machine-readable errors, retry behavior documented, 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

OpenAI 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: OpenAI and Vespa. Alternatives to each: OpenAI, Vespa.

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