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Convex vs PlanetScale

PlanetScale scores higher on the AgentReady, 64/100 against 61/100. 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

Convex. The reactive backend platform that keeps up with you and your agents.

PlanetScale. PlanetScale provides the world's fastest and most scalable cloud databases, offering fully-managed Vitess and PostgreSQL clusters with exceptional speed, reliability, and horizontal scalability through sharding.

Where Convex is ahead

Convex passes self-service signup, free trial or free allowance, fast time to first request and official python sdk, and PlanetScale 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. PlanetScale misses it.

Where PlanetScale is ahead

PlanetScale 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 understand: structured api reference and authentication documented. Convex misses those.

And on adopt, mcp integration available. Convex misses it.

What neither does

Both fail openapi / spec quality, 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. PlanetScale leads 100 to 87. Convex misses mcp discoverable; PlanetScale misses nothing.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. PlanetScale leads 46 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; PlanetScale misses openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Convex leads 76 to 55. Convex misses programmatic credential creation, mcp integration available; PlanetScale misses self-service signup, programmatic credential creation, free trial or free allowance, fast time to first request, official python sdk.

Operate. Convex leads 59 to 56. Convex misses structured, predictable output, machine-readable errors, idempotency support, rate-limit behavior predictable; PlanetScale misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable.

Pricing

Convex starts at $0/mo and has a free tier. PlanetScale starts at $5/mo.

Signal by signal

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 PlanetScale. Alternatives to each: Convex, PlanetScale.

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