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Fingerprint vs Kernel

Kernel scores higher on the AgentReady, 89/100 against 63/100. 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

Fingerprint. Fingerprint helps teams prevent fraud, improve user experiences, and better understand their traffic.

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

Where Fingerprint is ahead

Fingerprint 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, fast time to first request and copyable quickstart. Kernel misses those.

Where Kernel is ahead

Kernel passes structured api reference, openapi / spec quality, request examples provided, response examples provided and errors and status codes documented, and Fingerprint 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: programmatic credential creation. Fingerprint misses it.

And on operate, structured, predictable output, machine-readable errors, retry behavior documented, rate-limit behavior predictable and agent compatibility verified. Fingerprint misses those.

What neither does

Both fail no mandatory sales call, 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.

Understand. Kernel leads 92 to 38. Fingerprint misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented; Kernel misses authentication documented.

Adopt. Fingerprint leads 80 to 71. Fingerprint misses no mandatory sales call, programmatic credential creation; Kernel misses no mandatory sales call, agent-compatible signup flow, fast time to first request, copyable quickstart.

Operate is whether an agent can run against it in production and recover when a call fails. Kernel leads 94 to 35. Fingerprint misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Kernel misses idempotency support.

Pricing

Fingerprint starts at $99/mo and has a free tier. Kernel starts at $0/mo and has a free tier.

Signal by signal

Which to pick

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

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