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Scalekit vs Unkey

Scalekit scores higher on the AgentReady, 65/100 against 56/100. 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

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

Unkey. Unkey is a developer platform for modern APIs that unifies infrastructure, allowing developers to deploy APIs instantly, route traffic through global gateways, and understand usage in one place.

Where Scalekit is ahead

Scalekit passes llms-full.txt / full agent docs and mcp discoverable, and Unkey 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 and mcp integration available. Unkey misses those.

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

Where Unkey is ahead

Unkey passes clear product positioning, and Scalekit 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. Scalekit misses it.

And on adopt, official python sdk. Scalekit misses it.

What neither does

Both fail openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, agent-compatible signup flow, 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. Scalekit leads 87 to 80. Scalekit misses clear product positioning; Unkey misses llms-full.txt / full agent docs, mcp discoverable.

Understand. Unkey leads 54 to 46. Scalekit misses openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Unkey misses openapi / spec quality, request examples provided, response examples provided, errors and status codes documented.

Adopt. Scalekit leads 70 to 55. Scalekit misses agent-compatible signup flow, programmatic credential creation, official python sdk; Unkey misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, mcp integration available.

Operate is whether an agent can run against it in production and recover when a call fails. Scalekit leads 56 to 35. Scalekit misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable; Unkey misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Scalekit starts at $0/mo and has a free tier. Unkey starts at $5/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: Scalekit and Unkey. Alternatives to each: Scalekit, Unkey.

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