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Ollama vs Zeabur

Ollama scores higher on the AgentReady, 59/100 against 46/100. They differ on 9 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Ollama. Ollama lets you use open models with your coding agents so you can spend less while keeping your data private.

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

Where Ollama is ahead

Ollama passes llms.txt published and llms-full.txt / full agent docs, 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. Zeabur misses it.

And on adopt, agent-compatible signup flow, fast time to first request and copyable quickstart. Zeabur misses those.

Finally, on operate, agent compatibility verified. Zeabur misses it.

Where Zeabur is ahead

Zeabur passes clear canonical domain, and Ollama 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. Ollama 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, no mandatory sales call, programmatic credential creation, mcp integration available, structured, predictable output, machine-readable errors, retry behavior documented, 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. Ollama leads 80 to 73. Ollama misses clear canonical domain, mcp discoverable; Zeabur misses llms.txt published, llms-full.txt / full agent docs, mcp discoverable.

Understand. Ollama leads 38 to 31. Ollama misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, 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 is whether an agent can get a key and make its first successful call without a human in the loop. Ollama leads 65 to 45. Ollama misses no mandatory sales call, programmatic credential creation, mcp integration available; Zeabur misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart, mcp integration available.

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

Pricing

Ollama starts at $0/mo and has a free tier. Zeabur starts at $0/mo and has a free tier.

Signal by signal

Which to pick

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

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