Apify vs Kernel
Kernel scores higher on the AgentReady, 89/100 against 74/100. They differ on 20 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.
What each one is
Apify. Apify is the largest marketplace of trusted tools for AI.
Kernel. Kernel provides crazy fast, open source browser infrastructure for AI agents to access the internet.
Where Kernel is ahead
Kernel passes search discoverable and public docs discoverable, and Apify 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, pricing understandable, request examples provided, response examples provided, errors and status codes documented and limits / constraints documented. Apify misses those.
And on adopt, self-service signup, programmatic credential creation, free trial or free allowance, official typescript sdk and official python sdk. Apify misses those.
Finally, on operate, canonical workflow succeeds, structured, predictable output, machine-readable errors, retry behavior documented, rate-limit behavior predictable, observable execution and agent compatibility verified. Apify misses those.
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.
Discover. Both sit at 100/100 here. Apify misses search discoverable, public docs discoverable; Kernel misses nothing.
Understand. Kernel leads 92 to 67. Apify misses openapi / spec quality, authentication documented, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Kernel misses authentication documented.
Adopt. Kernel leads 71 to 63. Apify misses self-service signup, no mandatory sales call, programmatic credential creation, free trial or free allowance, fast time to first request, copyable quickstart, official typescript sdk, official python sdk; 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 67. Apify misses canonical workflow succeeds, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; Kernel misses idempotency support.
Pricing
Apify does not publish a machine-readable starting price. Kernel starts at $0/mo and has a free tier.
| Apify plans | Kernel plans |
|---|---|
| - | Free $0/mo |
| - | Hobbyist $30/mo |
| - | Start-up $200/mo |
| - | Enterprise Custom |
Signal by signal
| Signal | Apify | Kernel |
|---|---|---|
| AgentReady | 74 | 89 |
| Discovery | 100 | 100 |
| Understanding | 67 | 92 |
| Adoption | 63 | 71 |
| Operability | 67 | 94 |
| Public API | Yes | Yes |
| MCP server | Yes | Yes |
| OpenAPI spec | Yes | Yes |
| CLI | Yes | Yes |
| llms.txt | Yes | Yes |
| Self-serve signup | Unknown | Yes |
| Free tier | Unknown | Yes |
Which to pick
Kernel clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Apify and Kernel. Alternatives to each: Apify, Kernel.
An agent can fetch this as data: POST /v1/compare {"slugs": ["apify", "kernel"]}