Grafana Cloud vs Kernel
Kernel scores higher on the AgentReady, 89/100 against 77/100. They differ on 9 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.
What each one is
Grafana Cloud. Full-stack observability platform that unifies telemetry signals (metrics, logs, traces) with AI-powered features for modern operations, cost optimization, and troubleshooting
Kernel. Kernel provides crazy fast, open source browser infrastructure for AI agents to access the internet.
Where Grafana Cloud is ahead
Grafana Cloud passes no mandatory sales call and 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 pricing understandable and limits / constraints documented, and Grafana Cloud 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: self-service signup and free trial or free allowance. Grafana Cloud misses those.
And on operate, retry behavior documented, rate-limit behavior predictable and agent compatibility verified. Grafana Cloud misses those.
What neither does
Both fail authentication documented, 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. Kernel leads 92 to 77. Grafana Cloud misses authentication documented, pricing understandable, limits / constraints documented; Kernel misses authentication documented.
Adopt. Kernel leads 71 to 70. Grafana Cloud misses self-service signup, free trial or free allowance, fast time to first request, copyable quickstart; 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 59. Grafana Cloud misses retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Kernel misses idempotency support.
Pricing
Grafana Cloud does not publish a machine-readable starting price. Kernel starts at $0/mo and has a free tier.
| Grafana Cloud plans | Kernel plans |
|---|---|
| - | Free $0/mo |
| - | Hobbyist $30/mo |
| - | Start-up $200/mo |
| - | Enterprise Custom |
Signal by signal
| Signal | Grafana Cloud | Kernel |
|---|---|---|
| AgentReady | 77 | 89 |
| Discovery | 100 | 100 |
| Understanding | 77 | 92 |
| Adoption | 70 | 71 |
| Operability | 59 | 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: Grafana Cloud and Kernel. Alternatives to each: Grafana Cloud, Kernel.
An agent can fetch this as data: POST /v1/compare {"slugs": ["grafana", "kernel"]}