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Anthropic vs OpenAI

Anthropic scores higher on the AgentReady, 80/100 against 72/100. They differ on 2 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Anthropic. Anthropic is a public benefit corporation dedicated to securing the benefits of AI and mitigating its risks.

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.

Where Anthropic is ahead

Anthropic passes clear canonical domain, and OpenAI does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds operate: agent compatibility verified. OpenAI misses it.

What neither does

Both fail search discoverable, clear product positioning, public docs discoverable, llms-full.txt / full agent docs, structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, official typescript sdk, official python sdk, canonical workflow succeeds, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution. 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 67/100 here. Anthropic misses search discoverable, clear product positioning, public docs discoverable, llms-full.txt / full agent docs; OpenAI misses search discoverable, clear canonical domain, clear product positioning, public docs discoverable, llms-full.txt / full agent docs.

Understand. Anthropic leads 75 to 67. Anthropic misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; OpenAI misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Both sit at 88/100 here. Anthropic misses no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, official typescript sdk, official python sdk; OpenAI misses no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, official typescript sdk, official python sdk.

Operate is whether an agent can run against it in production and recover when a call fails. Anthropic leads 89 to 67. Anthropic misses canonical workflow succeeds, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution; 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.

Pricing

Anthropic does not publish a machine-readable starting price and has a free tier. OpenAI does not publish one and has a free tier.

Signal by signal

Which to pick

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

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