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Bump vs Scalekit

Scalekit scores higher on the AgentReady, 65/100 against 52/100. They differ on 12 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Bump. Bump.sh is a platform for API documentation and MCP (Model Context Protocol) servers that automatically generates docs and production-ready MCP servers from OpenAPI, AsyncAPI, and Arazzo specifications.

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

Where Bump is ahead

Bump 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 adopt: official python sdk. Scalekit misses it.

And on operate, retry behavior documented. Scalekit misses it.

Where Scalekit is ahead

Scalekit passes clear canonical domain, llms.txt published and llms-full.txt / full agent docs, and Bump does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: pricing understandable. Bump misses it.

And on adopt, self-service signup, no mandatory sales call, free trial or free allowance and fast time to first request. Bump misses those.

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

What neither does

Both fail openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, agent-compatible signup flow, programmatic credential creation, structured, predictable output, machine-readable errors, 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. Bump misses clear canonical domain, llms.txt published, llms-full.txt / full agent docs; Scalekit misses clear product positioning.

Understand. Scalekit leads 46 to 38. Bump misses openapi / spec quality, pricing understandable, 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 is whether an agent can get a key and make its first successful call without a human in the loop. Scalekit leads 70 to 45. Bump misses self-service signup, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, free trial or free allowance, fast time to first request; Scalekit misses agent-compatible signup flow, programmatic credential creation, official python sdk.

Operate. Scalekit leads 56 to 44. Bump misses structured, predictable output, machine-readable errors, 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

Bump does not publish a machine-readable starting price. 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: Bump and Scalekit. Alternatives to each: Bump, Scalekit.

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