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Extract vs Zeabur

Extract scores higher on the AgentReady, 71/100 against 46/100. They differ on 15 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Extract. Vend API Merchant — Six pay-per-call APIs for AI agents settled in Nano (XNO), no signup, no API key.

Zeabur. Zeabur is a platform that helps you deploy your service with one click, no matter what programming language or framework you use.

Where Extract is ahead

Extract passes llms.txt published and mcp discoverable, and Zeabur 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, authentication documented, response examples provided and errors and status codes documented. Zeabur misses those.

And on adopt, no mandatory sales call, programmatic credential creation and mcp integration available. Zeabur misses those.

Finally, on operate, structured, predictable output, machine-readable errors and retry behavior documented. Zeabur misses those.

Where Zeabur is ahead

Zeabur passes public docs discoverable, and Extract 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. Extract misses it.

And on operate, observable execution. Extract misses it.

What neither does

Both fail llms-full.txt / full agent docs, openapi / spec quality, request examples provided, agent-compatible signup flow, fast time to first request, copyable quickstart, 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. Extract leads 80 to 73. Extract misses public docs discoverable, llms-full.txt / full agent docs; Zeabur misses llms.txt published, llms-full.txt / full agent docs, mcp discoverable.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. Extract leads 69 to 31. Extract misses openapi / spec quality, request examples provided, limits / constraints documented; Zeabur misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented.

Adopt. Extract leads 80 to 45. Extract misses agent-compatible signup flow, fast time to first request, copyable quickstart; Zeabur misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart, mcp integration available.

Operate. Extract leads 53 to 35. Extract misses idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; Zeabur misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Extract starts at 0.0001 XNO and has a free tier. Zeabur starts at $0/mo and has a free tier.

Signal by signal

Which to pick

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

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