Convex vs Zilliz
Convex scores higher on the AgentReady, 61/100 against 49/100. They differ on 8 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.
What each one is
Convex. The reactive backend platform that keeps up with you and your agents.
Zilliz. Zilliz offers a fully managed Vector Lakebase powered by Milvus, unifying real-time vector search, lake-scale discovery, and AI data operations.
Where Convex is ahead
Convex passes llms-full.txt / full agent docs, and Zilliz does not. That is discover, whether an agent can find the product at all without being told it exists.
It also holds adopt: no mandatory sales call, agent-compatible signup flow, fast time to first request and copyable quickstart. Zilliz misses those.
And on operate, retry behavior documented and agent compatibility verified. Zilliz misses those.
Where Zilliz is ahead
Zilliz passes authentication documented, and Convex does not. That is understand, whether an agent can read the docs and work out how the API behaves before calling it.
What neither does
Both fail mcp discoverable, structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, programmatic credential creation, mcp integration available, structured, predictable output, machine-readable errors, 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. Convex leads 87 to 80. Convex misses mcp discoverable; Zilliz misses llms-full.txt / full agent docs, mcp discoverable.
Understand. Zilliz leads 31 to 23. Convex misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Zilliz misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.
Adopt is whether an agent can get a key and make its first successful call without a human in the loop. Convex leads 76 to 45. Convex misses programmatic credential creation, mcp integration available; Zilliz misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart, mcp integration available.
Operate. Convex leads 59 to 39. Convex misses structured, predictable output, machine-readable errors, idempotency support, rate-limit behavior predictable; Zilliz misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.
Pricing
Convex starts at $0/mo and has a free tier. Zilliz does not publish one and has a free tier.
| Convex plans | Zilliz plans |
|---|---|
| Free $0/month and pay as you go | - |
| Professional $25 per developer/month | - |
Signal by signal
| Signal | Convex | Zilliz |
|---|---|---|
| AgentReady | 61 | 49 |
| Discovery | 87 | 80 |
| Understanding | 23 | 31 |
| Adoption | 76 | 45 |
| Operability | 59 | 39 |
| Public API | Yes | Yes |
| MCP server | No | Unknown |
| OpenAPI spec | Unknown | Unknown |
| CLI | Yes | Yes |
| llms.txt | Yes | Yes |
| Self-serve signup | Yes | Yes |
| Free tier | Yes | Yes |
Which to pick
Convex clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Convex and Zilliz. Alternatives to each: Convex, Zilliz.
An agent can fetch this as data: POST /v1/compare {"slugs": ["convex", "zilliz"]}