Convex vs Yugabyte
Convex scores higher on the AgentReady, 61/100 against 48/100. They differ on 10 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.
Yugabyte. Yugabyte is a company that provides YugabyteDB, an AI-ready, multi-modal, distributed PostgreSQL database for cloud-native apps.
Where Convex is ahead
Convex passes self-service signup, no mandatory sales call, agent-compatible signup flow, fast time to first request, copyable quickstart and official python sdk, and Yugabyte does not. That is adopt, whether an agent can get a key and make its first successful call without a human in the loop.
It also holds operate: retry behavior documented and agent compatibility verified. Yugabyte misses those.
Where Yugabyte is ahead
Yugabyte passes mcp discoverable, and Convex does not. That is discover, whether an agent can find the product at all without being told it exists.
It also holds adopt: mcp integration available. Convex misses it.
What neither does
Both fail structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, programmatic credential creation, 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. Yugabyte leads 100 to 87. Convex misses mcp discoverable; Yugabyte misses nothing.
Understand. Both sit at 23/100 here. Convex misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Yugabyte misses structured api reference, openapi / spec quality, authentication documented, 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 35. Convex misses programmatic credential creation, mcp integration available; Yugabyte misses self-service signup, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart, official python sdk.
Operate. Convex leads 59 to 35. Convex misses structured, predictable output, machine-readable errors, idempotency support, rate-limit behavior predictable; Yugabyte 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. Yugabyte starts at $125/vCPU/month and has a free tier.
| Convex plans | Yugabyte plans |
|---|---|
| Free $0/month and pay as you go | Standard $125/vCPU/month |
| Professional $25 per developer/month | Professional $167/vCPU/month |
| - | Enterprise Custom |
Signal by signal
| Signal | Convex | Yugabyte |
|---|---|---|
| AgentReady | 61 | 48 |
| Discovery | 87 | 100 |
| Understanding | 23 | 23 |
| Adoption | 76 | 35 |
| Operability | 59 | 35 |
| Public API | Yes | Yes |
| MCP server | No | Yes |
| OpenAPI spec | Unknown | Unknown |
| CLI | Yes | Yes |
| llms.txt | Yes | Yes |
| Self-serve signup | Yes | No |
| 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 Yugabyte. Alternatives to each: Convex, Yugabyte.
An agent can fetch this as data: POST /v1/compare {"slugs": ["convex", "yugabyte"]}