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Hanko vs Scalekit

Scalekit scores higher on the AgentReady, 65/100 against 48/100. They differ on 9 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Hanko. Hanko is an open-source authentication and user management platform for modern web and mobile apps.

Scalekit. Authentication and authorization platform for AI agents and SaaS applications, providing OAuth flows, token management, and tool calling infrastructure

Where Hanko is ahead

Hanko passes official python sdk, and Scalekit does not. That is adopt, whether an agent can get a key and make its first successful call without a human in the loop.

It also holds operate: structured, predictable output. Scalekit misses it.

Where Scalekit is ahead

Scalekit passes mcp discoverable, and Hanko 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 and authentication documented. Hanko misses those.

And on adopt, no mandatory sales call, cli available and mcp integration available. Hanko misses those.

Finally, on operate, agent compatibility verified. Hanko misses it.

What neither does

Both fail clear product positioning, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, agent-compatible signup flow, 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. Scalekit leads 87 to 73. Hanko misses clear product positioning, mcp discoverable; Scalekit misses clear product positioning.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. Scalekit leads 46 to 23. Hanko misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Scalekit misses openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Scalekit leads 70 to 50. Hanko misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, cli available, mcp integration available; Scalekit misses agent-compatible signup flow, programmatic credential creation, official python sdk.

Operate. Scalekit leads 56 to 47. Hanko misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Scalekit misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable.

Pricing

Hanko starts at $29/month and has a free tier. Scalekit starts at $0/mo and has a free tier.

Signal by signal

Which to pick

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

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