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Galileo vs Kernel

Kernel scores higher on the AgentReady, 89/100 against 57/100. They differ on 17 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Galileo. Galileo is the AI observability and eval engineering platform where offline evals become production guardrails.

Kernel. Kernel provides crazy fast, open source browser infrastructure for AI agents to access the internet.

Where Galileo is ahead

Galileo passes authentication documented, and Kernel does not. That is understand, whether an agent can read the docs and work out how the API behaves before calling it.

It also holds adopt: agent-compatible signup flow and copyable quickstart. Kernel misses those.

Where Kernel is ahead

Kernel passes clear product positioning, and Galileo 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, openapi / spec quality, pricing understandable, request examples provided, response examples provided and errors and status codes documented. Galileo misses those.

And on adopt, self-service signup, programmatic credential creation and free trial or free allowance. Galileo misses those.

Finally, on operate, machine-readable errors, retry behavior documented, rate-limit behavior predictable and observable execution. Galileo misses those.

What neither does

Both fail no mandatory sales call, fast time to first request, idempotency support. 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. Kernel leads 100 to 87. Galileo misses clear product positioning; Kernel misses nothing.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. Kernel leads 92 to 31. Galileo misses structured api reference, openapi / spec quality, pricing understandable, request examples provided, response examples provided, errors and status codes documented; Kernel misses authentication documented.

Adopt. Kernel leads 71 to 55. Galileo misses self-service signup, no mandatory sales call, programmatic credential creation, free trial or free allowance, fast time to first request; Kernel misses no mandatory sales call, agent-compatible signup flow, fast time to first request, copyable quickstart.

Operate. Kernel leads 94 to 53. Galileo misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution; Kernel misses idempotency support.

Pricing

Galileo does not publish a machine-readable starting price. Kernel starts at $0/mo and has a free tier.

Galileo plansKernel plans
-Free $0/mo
-Hobbyist $30/mo
-Start-up $200/mo
-Enterprise Custom

Signal by signal

SignalGalileoKernel
AgentReady5789
Discovery87100
Understanding3192
Adoption5571
Operability5394
Public APIYesYes
MCP serverYesYes
OpenAPI specUnknownYes
CLIYesYes
llms.txtYesYes
Self-serve signupNoYes
Free tierUnknownYes

Which to pick

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

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