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Logto vs Scalekit

Scalekit scores higher on the AgentReady, 65/100 against 58/100. 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

Logto. Logto is an open-source authentication and identity platform built for developers, offering auth, SSO, and RBAC for SaaS, AI agents, and B2B apps.

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

Where Logto is ahead

Logto 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, agent-compatible signup flow and official python sdk. Scalekit misses those.

Where Scalekit is ahead

Scalekit passes mcp discoverable, and Logto 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, fast time to first request, copyable quickstart, cli available and mcp integration available. Logto misses those.

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

What neither does

Both fail 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. Both sit at 87/100 here. Logto misses mcp discoverable; Scalekit misses clear product positioning.

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

Adopt is whether an agent can get a key and make its first successful call without a human in the loop. Scalekit leads 70 to 50. Logto misses no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, cli available, mcp integration available; Scalekit misses agent-compatible signup flow, programmatic credential creation, official python sdk.

Operate. Scalekit leads 56 to 39. Logto misses structured, predictable output, 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

Logto starts at $0/mo 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: Logto and Scalekit. Alternatives to each: Logto, Scalekit.

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