New: the hosted MCP server is live. Connect your agent in one command.Read the docs →
StackResolve logoStackResolve

Compare

Capsolver vs Kernel

Kernel scores higher on the AgentReady, 89/100 against 56/100. 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

Capsolver. AI-powered CAPTCHA solving service for automation and data workflows.

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

Where Capsolver is ahead

Capsolver 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.

Where Kernel is ahead

Kernel passes mcp discoverable, and Capsolver 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. Capsolver misses those.

And on adopt, programmatic credential creation, cli available and mcp integration available. Capsolver misses those.

Finally, on operate, machine-readable errors, retry behavior documented, rate-limit behavior predictable and agent compatibility verified. Capsolver 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. Kernel leads 100 to 87. Capsolver misses mcp discoverable; 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 38. Capsolver misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Kernel misses authentication documented.

Adopt. Kernel leads 71 to 50. Capsolver misses no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, cli available, mcp integration available; Kernel misses no mandatory sales call, agent-compatible signup flow, fast time to first request, copyable quickstart.

Operate. Kernel leads 94 to 47. Capsolver misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Kernel misses idempotency support.

Pricing

Capsolver starts at $0.4/1k images with no free tier. Kernel starts at $0/mo and has a free tier.

Capsolver plansKernel plans
reCAPTCHA v2 $0.8 / 1kFree $0/mo
reCAPTCHA v3 $1.0 / 1kHobbyist $30/mo
reCAPTCHA v2 Enterprise $1.0 / 1kStart-up $200/mo
reCAPTCHA v3 Enterprise $3.0 / 1kEnterprise Custom
AWS WAF $2.0 / 1k-
Geetest v3 / v4 $1.2 / 1k-
ImageToText $0.4 / 1k-
Cloudflare Turnstile $1.2 / 1k-
Cloudflare Challenge $1.2 / 1k-
Image Recognition $0.4/1000 images-

Signal by signal

SignalCapsolverKernel
AgentReady5689
Discovery87100
Understanding3892
Adoption5071
Operability4794
Public APIYesYes
MCP serverUnknownYes
OpenAPI specYesYes
CLIUnknownYes
llms.txtYesYes
Self-serve signupYesYes
Free tierNoYes

Which to pick

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

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