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Speakeasy vs Supabase

Supabase scores higher on the AgentReady, 74/100 against 64/100. 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

Speakeasy. Speakeasy is an AI control plane platform for securely scaling enterprise AI.

Supabase. Supabase is an open-source Firebase alternative that provides a complete backend platform built on top of Postgres, offering database, authentication, storage, realtime, edge functions, and vector capabilities.

Where Speakeasy is ahead

Speakeasy passes clear canonical domain and public docs discoverable, and Supabase does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: pricing understandable. Supabase misses it.

And on adopt, free trial or free allowance, copyable quickstart, official typescript sdk and official python sdk. Supabase misses those.

Finally, on operate, canonical workflow succeeds, structured, predictable output, observable execution and agent compatibility verified. Supabase misses those.

Where Supabase is ahead

Supabase passes cli available, and Speakeasy does not. That is adopt, whether an agent can get a key and make its first successful call without a human in the loop.

What neither does

Both fail search discoverable, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, self-service signup, no mandatory sales call, programmatic credential creation, fast time to first request, machine-readable errors, retry behavior 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. Supabase leads 100 to 87. Speakeasy misses search discoverable; Supabase misses search discoverable, clear canonical domain, public docs discoverable.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. Supabase leads 67 to 46. Speakeasy misses openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Supabase misses openapi / spec quality, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Supabase leads 63 to 55. Speakeasy misses self-service signup, no mandatory sales call, programmatic credential creation, fast time to first request, cli available; Supabase misses self-service signup, no mandatory sales call, programmatic credential creation, free trial or free allowance, fast time to first request, copyable quickstart, official typescript sdk, official python sdk.

Operate. Both sit at 67/100 here. Speakeasy misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable; Supabase misses canonical workflow succeeds, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified.

Pricing

Speakeasy does not publish a machine-readable starting price with no free tier. Supabase does not publish one.

Signal by signal

Which to pick

Speakeasy clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Speakeasy and Supabase. Alternatives to each: Speakeasy, Supabase.

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