Kernel vs Snyk
Kernel scores higher on the AgentReady, 89/100 against 55/100. They differ on 14 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.
Snyk. An independent security layer that continuously validates AI-generated code, governs development agents, and secures AI-native applications—so organizations can move fast with AI without losing control.
Where Kernel is ahead
Kernel passes structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented and limits / constraints documented, and Snyk 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 and official python sdk. Snyk misses those.
And on operate, structured, predictable output, machine-readable errors, retry behavior documented, rate-limit behavior predictable and agent compatibility verified. Snyk misses those.
Where Snyk is ahead
Snyk passes agent-compatible signup flow, and Kernel does not. That is adopt, whether an agent can get a key and make its first successful call without a human in the loop.
What neither does
Both fail authentication documented, no mandatory sales call, fast time to first request, copyable quickstart, 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 is whether an agent can read the docs and work out how the API behaves before calling it. Kernel leads 92 to 23. Kernel misses authentication documented; Snyk misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.
Adopt. Kernel leads 71 to 60. Kernel misses no mandatory sales call, agent-compatible signup flow, fast time to first request, copyable quickstart; Snyk misses no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, official python sdk.
Operate. Kernel leads 94 to 35. Kernel misses idempotency support; Snyk misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.
Pricing
Kernel starts at $0/mo and has a free tier. Snyk starts at $0/mo and has a free tier.
| Kernel plans | Snyk plans |
|---|---|
| Free $0/mo | Free $0 / month |
| Hobbyist $30/mo | Team $25 / month |
| Start-up $200/mo | Ignite $1,260 / year |
| Enterprise Custom | Enterprise Contact Sales |
Signal by signal
| Signal | Kernel | Snyk |
|---|---|---|
| AgentReady | 89 | 55 |
| Discovery | 100 | 100 |
| Understanding | 92 | 23 |
| Adoption | 71 | 60 |
| Operability | 94 | 35 |
| Public API | Yes | Yes |
| MCP server | Yes | Yes |
| OpenAPI spec | Yes | Unknown |
| CLI | Yes | Yes |
| llms.txt | Yes | Yes |
| Self-serve signup | Yes | Yes |
| Free tier | Yes | Yes |
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 Snyk. Alternatives to each: Kernel, Snyk.
An agent can fetch this as data: POST /v1/compare {"slugs": ["kernel", "snyk"]}