Baserow vs Convex for AI agents

As of 6 Oct 2026, Convex gets an AI agent further: L3 · Does the work against L1 · Needs a person.

BaserowL1Needs a person
  • Find: Docs for agents: llms.txt, an OpenAPI and an MCP server.
  • Access: Can't sign up.
  • Use: Work not reached.
  • Pay: Payment not reached.
  • Leave: Leaving not reached.

Stopped at sign up: needs a human. Next: let an agent sign up on its own

Needs a person to get in: L1 · Needs a person. Our agent read the user docs, the ReDoc API reference and llms.txt on its own, then stopped at signup: the documented account endpoint answers an error demanding a Cloudflare Turnstile token, and the web form shows the same visible challenge. With no account, the key page, the first call and the first piece of work in the API or the official MCP server were never reached. Paying stays card-only through the signed-in web UI once a person sets up the account; the UI also handles cancelling, though the docs name an API route for deleting the account.

Driven 6 Oct 2026 · The drive and its evidence
ConvexL3Does the work
  • Find: Docs for agents: llms.txt, an OpenAPI and an MCP server.
  • Access: Runs locally: Can't sign up for one.
  • Use: 70% of the work.
  • Pay: Payment not reached.
  • Leave: Leaves on its own: Nothing to cancel, made nothing to delete.

Got in; payment not reached. Next: let an agent sign up for an account on its own (without one it does 70% of the core work)

Gets in on its own, L3 · Does the work: a documented no-account route provisions a local deployment, where our agent pushed schema and functions, inserted and patched documents, ran an HTTP action, a cron and a scheduler, and set env vars, each checked back. The cloud side stopped at sign-up: a visible Cloudflare "Verify you are human" challenge blocked account creation, so no cloud project, deploy key or MCP session followed. Core backend work, plus file storage, text and vector search, custom-JWT auth and live subscriptions, ran on the local deployment; cloud paying and account deletion stayed out of reach, since both sit behind that same human checkpoint and the dashboard.

Gets furtherDriven 2 Oct 2026 · The drive and its evidence

The two summaries: written and checked by our agents from each product's drive. How we write.

Where each one stops.

BaserowStopped at sign up: needs a human

ConvexGot in; payment not reached

Baserow and Convex, checkpoint by checkpoint
CheckpointBaserowConvex
DocsHeadlessHeadless
Sign upNeeds a humanNot needed
VerifyNot reachedNot needed
KeyNot reachedNot needed
First callNot reachedHeadless
First actionNot reachedHeadless
PayNot reachedNot reached
CancelNot reachedNot needed
DeleteNot reachedBlocked

Headless or in a browser.

How our agent passed each checkpoint, and what each product offers an agent.

Checkpoints by route, API, MCP, CLI and SDK
Checkpoints by how our agent passed them, and what each product offers an agent
BaserowConvex
Headless (checkpoints)13
In a browser (checkpoints)00
Needs a human (checkpoints)10
Blocked (checkpoints)01
Not tested (checkpoints)71
Work doneNot measured70% of the core
APIYesYes
OpenAPIYesYes
MCP serverYes (official)Yes (official)
CLINoYes
SDKNoYes
llms.txtYesYes

Bot checks, and where a person was needed.

Walls our agent met
BaserowConvex
Bot checkCloudflare Turnstile stopped it at sign up, with a visible challengeCloudflare human check on the sign-up page; it got in another way
Wall typeA check of our network and browserA check of our network and browser
First wallCloudflare Turnstile on the sign-up formGot in; payment not reached
A person helpedNoNo

A check of our network and browser: It judged where our agent connects from and its browser, not a person. An agent that works on its own from a data center doesn't get through unless the owner lets signed agents in. How agents in a person's own browser fare isn't measured yet. Where we drive from.

Level and part scores.

Baserow and Convex: level and part scores, 0 to 100
BaserowConvex
LevelL1 · Needs a personL3 · Does the work
Agent-ready setup90 of 100, good100 of 100, good
StandardsOpenAPI 3.0.3 (2 versions behind)None recorded

Holds up: not measured in these drives. Docs match is measured in an Audit. What the scores mean.

Pay, cancel and delete.

Paying, cancelling and deleting the account
BaserowConvex
PayPayment not reachedPayment not reached
Free plan or trialFree planFree plan
CancelNot reachedNot needed
Delete the accountNot reachedBlocked
How each one takes payment
  • Baserow: Payment not reached.
  • Convex: Payment not reached.

Baserow vs Convex: the short answers.

Which can an AI agent use, Baserow or Convex?

Convex gets an AI agent further: L3 · Does the work against L1 · Needs a person. With Baserow our agent was stopped at sign up (needs a human); with Convex it got in (payment not reached). Driven 6 Oct 2026 (Baserow) and 2 Oct 2026 (Convex).

Can an AI agent sign up for Baserow and Convex on its own?

Baserow: no, needs a human. Convex: not needed.

Do Baserow and Convex have an MCP server?

Baserow: yes (official). Convex: yes (official).

Can an AI agent delete its Baserow or Convex account?

Baserow: not reached. Convex: blocked.

The drives and the category.

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