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Propelauth vs Speakeasy

Speakeasy scores higher on the AgentReady, 64/100 against 59/100. They differ on 11 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Propelauth. PropelAuth provides end-to-end managed user authentication specializing in B2B use cases, built for AI-native companies with multi-tenant auth requirements

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

Where Propelauth is ahead

Propelauth passes search discoverable, and Speakeasy does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: limits / constraints documented. Speakeasy misses it.

And on adopt, self-service signup, fast time to first request and cli available. Speakeasy misses those.

Where Speakeasy is ahead

Speakeasy passes clear canonical domain, llms.txt published and llms-full.txt / full agent docs, and Propelauth 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. Propelauth misses it.

And on operate, structured, predictable output and agent compatibility verified. Propelauth misses those.

What neither does

Both fail openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, no mandatory sales call, programmatic credential creation, 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. Speakeasy leads 87 to 80. Propelauth misses clear canonical domain, llms.txt published, llms-full.txt / full agent docs; Speakeasy misses search discoverable.

Understand. Speakeasy leads 46 to 38. Propelauth misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented; Speakeasy misses openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Propelauth leads 80 to 55. Propelauth misses no mandatory sales call, programmatic credential creation; Speakeasy misses self-service signup, no mandatory sales call, programmatic credential creation, fast time to first request, cli available.

Operate is whether an agent can run against it in production and recover when a call fails. Speakeasy leads 67 to 39. Propelauth misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Speakeasy misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable.

Pricing

Propelauth starts at $0/month and has a free tier. Speakeasy does not publish one with no free tier.

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: Propelauth and Speakeasy. Alternatives to each: Propelauth, Speakeasy.

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