CircleCI vs Zeabur
CircleCI scores higher on the AgentReady, 64/100 against 46/100. 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
CircleCI. CircleCI is a continuous integration and continuous delivery (CI/CD) platform that helps developers automate software delivery.
Zeabur. Zeabur is a platform that helps you deploy your service with one click, no matter what programming language or framework you use.
Where CircleCI is ahead
CircleCI passes llms.txt published, llms-full.txt / full agent docs 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 and response examples provided. Zeabur misses those.
And on adopt, no mandatory sales call, agent-compatible signup flow, copyable quickstart and mcp integration available. Zeabur misses those.
Finally, on operate, structured, predictable output and rate-limit behavior predictable. Zeabur misses those.
Where Zeabur is ahead
Zeabur passes pricing understandable and limits / constraints documented, and CircleCI does not. That is understand, whether an agent can read the docs and work out how the API behaves before calling it.
It also holds adopt: self-service signup, free trial or free allowance and cli available. CircleCI misses those.
What neither does
Both fail openapi / spec quality, authentication documented, request examples provided, errors and status codes documented, programmatic credential creation, fast time to first request, machine-readable errors, retry behavior documented, idempotency support, 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 is whether an agent can find the product at all without being told it exists. CircleCI leads 100 to 73. CircleCI misses nothing; Zeabur misses llms.txt published, llms-full.txt / full agent docs, mcp discoverable.
Understand. CircleCI leads 38 to 31. CircleCI misses openapi / spec quality, authentication documented, pricing understandable, request 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. CircleCI leads 60 to 45. CircleCI misses self-service signup, programmatic credential creation, free trial or free allowance, fast time to first request, cli 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. CircleCI leads 59 to 35. CircleCI misses machine-readable errors, retry behavior documented, idempotency support, agent compatibility verified; Zeabur misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.
Pricing
CircleCI does not publish a machine-readable starting price. Zeabur starts at $0/mo and has a free tier.
| CircleCI plans | Zeabur plans |
|---|---|
| - | Free $0/mo |
| - | Dev $5/mo |
| - | Pro $19/mo |
| - | Team $79/mo |
| - | Enterprise Custom |
Signal by signal
| Signal | CircleCI | Zeabur |
|---|---|---|
| AgentReady | 64 | 46 |
| Discovery | 100 | 73 |
| Understanding | 38 | 31 |
| Adoption | 60 | 45 |
| Operability | 59 | 35 |
| Public API | Yes | Yes |
| MCP server | Yes | No |
| OpenAPI spec | Yes | Unknown |
| CLI | Unknown | Yes |
| llms.txt | Yes | Unknown |
| Self-serve signup | Unknown | Yes |
| Free tier | Unknown | Yes |
Which to pick
CircleCI clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: CircleCI and Zeabur. Alternatives to each: CircleCI, Zeabur.
An agent can fetch this as data: POST /v1/compare {"slugs": ["circleci", "zeabur"]}