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Kernel vs Speakeasy

Kernel scores higher on the AgentReady, 89/100 against 64/100. They differ on 15 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

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

Speakeasy. Speakeasy is an AI control plane platform for securely scaling enterprise AI.

Where Kernel is ahead

Kernel passes search discoverable, and Speakeasy does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: openapi / spec quality, request examples provided, response examples provided, errors and status codes documented and limits / constraints documented. Speakeasy misses those.

And on adopt, self-service signup, programmatic credential creation and cli available. Speakeasy misses those.

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

Where Speakeasy is ahead

Speakeasy 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.

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. Kernel misses nothing; Speakeasy misses search discoverable.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. Kernel leads 92 to 46. Kernel misses authentication documented; Speakeasy misses openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Kernel leads 71 to 55. Kernel misses no mandatory sales call, agent-compatible signup flow, fast time to first request, copyable quickstart; Speakeasy misses self-service signup, no mandatory sales call, programmatic credential creation, fast time to first request, cli available.

Operate. Kernel leads 94 to 67. Kernel misses idempotency support; Speakeasy misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable.

Pricing

Kernel starts at $0/mo and has a free tier. Speakeasy does not publish one with no free tier.

Kernel plansSpeakeasy plans
Free $0/mo-
Hobbyist $30/mo-
Start-up $200/mo-
Enterprise Custom-

Signal by signal

SignalKernelSpeakeasy
AgentReady8964
Discovery10087
Understanding9246
Adoption7155
Operability9467
Public APIYesYes
MCP serverYesYes
OpenAPI specYesYes
CLIYesUnknown
llms.txtYesYes
Self-serve signupYesNo
Free tierYesNo

Which to pick

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

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

For AI agents

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