Hyperdx vs Sentry
Sentry scores higher on the AgentReady, 62/100 against 43/100. They differ on 18 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.
What each one is
Hyperdx. An open source observability platform that unifies session replays, logs, traces, metrics and errors.
Sentry. Application monitoring software for error monitoring, tracing, and debugging.
Where Hyperdx is ahead
Hyperdx passes pricing understandable, and Sentry 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, fast time to first request and copyable quickstart. Sentry misses those.
Where Sentry is ahead
Sentry 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, authentication documented and limits / constraints documented. Hyperdx misses those.
And on adopt, cli available and mcp integration available. Hyperdx misses those.
Finally, on operate, observable execution and agent compatibility verified. Hyperdx misses those.
What neither does
Both fail openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, programmatic credential creation, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable. 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. Sentry leads 100 to 53. Hyperdx misses clear product positioning, llms.txt published, llms-full.txt / full agent docs, mcp discoverable, machine-readable metadata; Sentry misses nothing.
Understand. Sentry leads 46 to 23. Hyperdx misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Sentry misses openapi / spec quality, pricing understandable, request examples provided, response examples provided, errors and status codes documented.
Adopt. Hyperdx leads 70 to 50. Hyperdx misses programmatic credential creation, cli available, mcp integration available; Sentry misses self-service signup, no mandatory sales call, programmatic credential creation, free trial or free allowance, fast time to first request, copyable quickstart.
Operate. Sentry leads 53 to 24. Hyperdx misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; Sentry misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable.
Pricing
Hyperdx starts at $20/mo and has a free tier. Sentry does not publish one.
| Hyperdx plans | Sentry plans |
|---|---|
| Free $0/mo | - |
| Starter $20/mo | - |
| Enterprise Custom | - |
Signal by signal
| Signal | Hyperdx | Sentry |
|---|---|---|
| AgentReady | 43 | 62 |
| Discovery | 53 | 100 |
| Understanding | 23 | 46 |
| Adoption | 70 | 50 |
| Operability | 24 | 53 |
| Public API | Yes | Yes |
| MCP server | No | Yes |
| OpenAPI spec | Unknown | Yes |
| CLI | Unknown | Yes |
| llms.txt | Unknown | Yes |
| Self-serve signup | Yes | Unknown |
| Free tier | Yes | Unknown |
Which to pick
Sentry clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Hyperdx and Sentry. Alternatives to each: Hyperdx, Sentry.
An agent can fetch this as data: POST /v1/compare {"slugs": ["hyperdx", "sentry"]}