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Ably vs Datadog

Ably scores higher on the AgentReady, 60/100 against 48/100. They differ on 13 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Ably. Ably provides a realtime infrastructure platform that enables developers to build live, interactive experiences.

Datadog. Datadog is an observability platform company named a Leader in the Gartner Magic Quadrant for Observability Platforms

Where Ably is ahead

Ably passes authentication documented and pricing understandable, and Datadog 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, official typescript sdk and official python sdk. Datadog misses those.

And on operate, structured, predictable output and idempotency support. Datadog misses those.

Where Datadog is ahead

Datadog passes mcp discoverable, and Ably does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds adopt: mcp integration available. Ably misses it.

And on operate, rate-limit behavior predictable. Ably misses it.

What neither does

Both fail llms-full.txt / full agent docs, structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, programmatic credential creation, machine-readable errors, retry behavior documented, 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. Datadog leads 93 to 80. Ably misses llms-full.txt / full agent docs, mcp discoverable; Datadog misses llms-full.txt / full agent docs.

Understand. Ably leads 31 to 15. Ably misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Datadog misses structured api reference, openapi / spec quality, authentication documented, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt is whether an agent can get a key and make its first successful call without a human in the loop. Ably leads 75 to 35. Ably misses programmatic credential creation, mcp integration available; Datadog misses self-service signup, no mandatory sales call, programmatic credential creation, free trial or free allowance, fast time to first request, official typescript sdk, official python sdk.

Operate. Ably leads 53 to 47. Ably misses machine-readable errors, retry behavior documented, rate-limit behavior predictable, agent compatibility verified; Datadog misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, agent compatibility verified.

Pricing

Ably does not publish a machine-readable starting price and has a free tier. Datadog does not publish one.

Signal by signal

Which to pick

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

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