Compare

Grafana Cloud vs Hyperdx

Grafana Cloud scores higher on the AgentReady, 77/100 against 43/100. They differ on 21 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

Hyperdx. An open source observability platform that unifies session replays, logs, traces, metrics and errors.

Where Grafana Cloud is ahead

Grafana Cloud passes clear product positioning, llms.txt published, llms-full.txt / full agent docs, mcp discoverable and machine-readable metadata, and Hyperdx does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: structured api reference, openapi / spec quality, request examples provided, response examples provided and errors and status codes documented. Hyperdx misses those.

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

Finally, on operate, structured, predictable output, machine-readable errors and observable execution. Hyperdx misses those.

Where Hyperdx is ahead

Hyperdx passes pricing understandable, 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, free trial or free allowance, fast time to first request and copyable quickstart. Grafana Cloud misses those.

What neither does

Both fail authentication documented, limits / constraints documented, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified. 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. Grafana Cloud leads 100 to 53. Grafana Cloud misses nothing; Hyperdx misses clear product positioning, llms.txt published, llms-full.txt / full agent docs, mcp discoverable, machine-readable metadata.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. Grafana Cloud leads 77 to 23. Grafana Cloud misses authentication documented, pricing understandable, limits / constraints documented; Hyperdx misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Both sit at 70/100 here. Grafana Cloud misses self-service signup, free trial or free allowance, fast time to first request, copyable quickstart; Hyperdx misses programmatic credential creation, cli available, mcp integration available.

Operate. Grafana Cloud leads 59 to 24. Grafana Cloud misses retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Hyperdx misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified.

Pricing

Grafana Cloud does not publish a machine-readable starting price. Hyperdx starts at $20/mo and has a free tier.

Signal by signal

Which to pick

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

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