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Galileo vs Hyperdx

Galileo scores higher on the AgentReady, 57/100 against 43/100. They differ on 15 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Galileo. Galileo is the AI observability and eval engineering platform where offline evals become production guardrails.

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

Where Galileo is ahead

Galileo passes 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: authentication documented and limits / constraints documented. Hyperdx misses those.

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

Finally, on operate, structured, predictable output and agent compatibility verified. Hyperdx misses those.

Where Hyperdx is ahead

Hyperdx passes pricing understandable, and Galileo 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, no mandatory sales call, free trial or free allowance and fast time to first request. Galileo misses those.

What neither does

Both fail clear product positioning, structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, programmatic credential creation, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution. 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 is whether an agent can find the product at all without being told it exists. Galileo leads 87 to 53. Galileo misses clear product positioning; Hyperdx misses clear product positioning, llms.txt published, llms-full.txt / full agent docs, mcp discoverable, machine-readable metadata.

Understand. Galileo leads 31 to 23. Galileo misses structured api reference, openapi / spec quality, pricing understandable, request examples provided, response examples provided, errors and status codes 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. Hyperdx leads 70 to 55. Galileo misses self-service signup, no mandatory sales call, programmatic credential creation, free trial or free allowance, fast time to first request; Hyperdx misses programmatic credential creation, cli available, mcp integration available.

Operate. Galileo leads 53 to 24. Galileo misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution; Hyperdx misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified.

Pricing

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

Signal by signal

Which to pick

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

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