Convex vs Turso
Turso scores higher on the AgentReady, 86/100 against 61/100. They differ on 12 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.
Turso. The Database for the Age of AI Agents.
Where Convex is ahead
Convex passes retry behavior documented and agent compatibility verified, and Turso does not. That is operate, whether an agent can run against it in production and recover when a call fails.
Where Turso is ahead
Turso 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, openapi / spec quality, request examples provided, response examples provided and errors and status codes documented. Convex misses those.
And on adopt, programmatic credential creation and mcp integration available. Convex misses those.
Finally, on operate, structured, predictable output and machine-readable errors. Convex misses those.
What neither does
Both fail authentication documented, limits / constraints documented, 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. Turso leads 100 to 87. Convex misses mcp discoverable; Turso misses nothing.
Understand is whether an agent can read the docs and work out how the API behaves before calling it. Turso leads 85 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; Turso misses authentication documented, limits / constraints documented.
Adopt. Turso leads 100 to 76. Convex misses programmatic credential creation, mcp integration available; Turso misses nothing.
Operate. Both sit at 59/100 here. Convex misses structured, predictable output, machine-readable errors, idempotency support, rate-limit behavior predictable; Turso misses retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.
Pricing
Convex starts at $0/mo and has a free tier. Turso starts at $4.99/mo and has a free tier.
| Convex plans | Turso plans |
|---|---|
| Free $0/month and pay as you go | Free $0 |
| Professional $25 per developer/month | Developer $4.99/month |
| - | Scaler $24.92/month |
| - | Pro $416.58/month |
| - | Enterprise Custom |
Signal by signal
| Signal | Convex | Turso |
|---|---|---|
| AgentReady | 61 | 86 |
| Discovery | 87 | 100 |
| Understanding | 23 | 85 |
| Adoption | 76 | 100 |
| Operability | 59 | 59 |
| Public API | Yes | Yes |
| MCP server | No | Yes |
| OpenAPI spec | Unknown | Yes |
| CLI | Yes | Yes |
| llms.txt | Yes | Yes |
| Self-serve signup | Yes | Yes |
| Free tier | Yes | Yes |
Which to pick
Turso clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Convex and Turso. Alternatives to each: Convex, Turso.
An agent can fetch this as data: POST /v1/compare {"slugs": ["convex", "turso"]}