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Frontegg vs Propelauth

Propelauth scores higher on the AgentReady, 59/100 against 57/100. They differ on 8 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Frontegg. Frontegg secures every entry point into your SaaS app.

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 Frontegg is ahead

Frontegg 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 operate: structured, predictable output. Propelauth misses it.

Where Propelauth is ahead

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

It also holds understand: authentication documented. Frontegg misses it.

And on adopt, fast time to first request, copyable quickstart and cli available. Frontegg 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, no mandatory sales call, programmatic credential creation, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified. 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. Both sit at 80/100 here. Frontegg misses public docs discoverable, llms-full.txt / full agent docs; Propelauth misses clear canonical domain, llms.txt published, llms-full.txt / full agent docs.

Understand. Propelauth leads 38 to 31. Frontegg misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes 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 65. Frontegg misses no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, cli available; Propelauth misses no mandatory sales call, programmatic credential creation.

Operate. Frontegg leads 50 to 39. Frontegg misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Propelauth misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Frontegg does not publish a machine-readable starting price and has a free tier. 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: Frontegg and Propelauth. Alternatives to each: Frontegg, Propelauth.

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