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Ory vs Propelauth

Propelauth scores higher on the AgentReady, 59/100 against 55/100. 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

Ory. Ory provides secure, friction-free identity and access management for customers, partners, machines, and agents - with seamless access, granular permissions, and real-time protection.

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

Where Ory is ahead

Ory passes clear canonical domain and llms.txt published, and Propelauth does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds adopt: no mandatory sales call. Propelauth misses it.

And on operate, agent compatibility verified. Propelauth misses it.

Where Propelauth is ahead

Propelauth passes authentication documented, pricing understandable and limits / constraints documented, and Ory does not. That is understand, whether an agent can read the docs and work out how the API behaves before calling it.

It also holds adopt: self-service signup, agent-compatible signup flow, free trial or free allowance and fast time to first request. Ory misses those.

What neither does

Both fail llms-full.txt / full agent docs, structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, programmatic credential creation, structured, predictable output, 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. Ory leads 93 to 80. Ory misses llms-full.txt / full agent docs; Propelauth misses clear canonical domain, llms.txt published, llms-full.txt / full agent docs.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. Propelauth leads 38 to 15. Ory misses structured api reference, openapi / spec quality, authentication documented, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Propelauth misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented.

Adopt is whether an agent can get a key and make its first successful call without a human in the loop. Propelauth leads 80 to 57. Ory misses self-service signup, agent-compatible signup flow, programmatic credential creation, free trial or free allowance, fast time to first request; Propelauth misses no mandatory sales call, programmatic credential creation.

Operate. Ory leads 53 to 39. Ory misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable; Propelauth misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Ory does not publish a machine-readable starting price. Propelauth starts at $0/month and has a free tier.

Signal by signal

Which to pick

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

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