Zeabur alternatives
The highest-scoring alternative to Zeabur is CircleCI at 64/100 on the AgentReady, against 46/100 for Zeabur.
All scored in CI/CD.
| Score | Alternative | Compare |
|---|---|---|
| 64 | CircleCI | Zeabur vs CircleCI |
| 57 | Buildkite | Zeabur vs Buildkite |
| 55 | GitHub | Zeabur vs GitHub |
| 53 | Bitbucket | Zeabur vs Bitbucket |
| 50 | GitLab | Zeabur vs GitLab |
What CircleCI does that Zeabur does not
CircleCI passes llms.txt published, llms-full.txt / full agent docs, mcp discoverable, structured api reference, response examples provided, no mandatory sales call, agent-compatible signup flow, copyable quickstart, mcp integration available, structured, predictable output, rate-limit behavior predictable, and Zeabur fails them. That is the whole of the gap between the two scores, so if none of those matter to your agent the ranking above overstates the difference.
Why people look for an alternative
Zeabur fails llms.txt published, llms-full.txt / full agent docs, mcp discoverable, structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart, mcp integration available, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified. Each one is a place an unattended run stops, which is usually what sends someone looking in the first place.
Where Zeabur loses the points
| Pillar | Zeabur | What it measures |
|---|---|---|
| Discover | 73 | Can an agent find it at all: sitemap, robots, structured data. |
| Understand | 31 | Is there a spec, an llms.txt, a machine-readable description. |
| Adopt | 45 | Signup, keys, SDKs, and whether a human has to be involved. |
| Operate | 35 | Rate-limit headers, errors, status, and behaviour under load. |
Zeabur is weakest on understand at 31/100. Without a spec an agent has to guess at endpoints, and it guesses wrong. If that is the part your agent depends on, take the ranking above seriously; if it is not, Zeabur may still be the right pick.
What an agent runs into with Zeabur
These are the findings from the last audit on 2026-09-01. Each one is a place unattended software stops, which is the practical reason to look at the list above.
- Ship an MCP server so agents can call you as a tool.
- Publish MCP install instructions so agents can discover the server.
- Publish an OpenAPI spec so agents can generate a client.
- Flesh out the OpenAPI: paths, schemas, and descriptions.
- Document error responses as an enum in your OpenAPI.
- Let agents create API keys programmatically.
- Return X-RateLimit / Retry-After headers so agents pace themselves.
- Add /llms.txt so agents can find and read your capabilities.
What this category actually supports
Across the 6 products scored in CI/CD, run a ci/cd pipeline is offered by 100%.
An agent can get this list directly: resolve("alternative to Zeabur") over the MCP server, or GET /v1/categories/ci-cd.