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Airtop vs Apify

Airtop scores higher on the AgentReady, 88/100 against 74/100. They differ on 27 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Airtop. Airtop is a platform for building and deploying AI agents that can perform repetitive tasks on your behalf, all running in the cloud.

Apify. Apify is the largest marketplace of trusted tools for AI.

Where Airtop is ahead

Airtop passes search discoverable and public docs discoverable, and Apify does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: openapi / spec quality, authentication documented, pricing understandable, request examples provided, response examples provided, errors and status codes documented and limits / constraints documented. Apify misses those.

And on adopt, self-service signup, no mandatory sales call, programmatic credential creation, free trial or free allowance, fast time to first request, copyable quickstart, official typescript sdk and official python sdk. Apify misses those.

Finally, on operate, canonical workflow succeeds, structured, predictable output, machine-readable errors, idempotency support, rate-limit behavior predictable, observable execution and agent compatibility verified. Apify misses those.

Where Apify is ahead

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

It also holds adopt: cli available and mcp integration available. Airtop misses those.

What neither does

Both fail retry behavior documented. 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. Apify leads 100 to 87. Airtop misses mcp discoverable; Apify misses search discoverable, public docs discoverable.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. Airtop leads 100 to 67. Airtop misses nothing; Apify misses openapi / spec quality, authentication documented, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Airtop leads 70 to 63. Airtop misses agent-compatible signup flow, cli available, mcp integration available; Apify misses self-service signup, no mandatory sales call, programmatic credential creation, free trial or free allowance, fast time to first request, copyable quickstart, official typescript sdk, official python sdk.

Operate. Airtop leads 94 to 67. Airtop misses retry behavior documented; Apify misses canonical workflow succeeds, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified.

Pricing

Airtop starts at $0/mo and has a free tier. Apify does not publish one.

Signal by signal

Which to pick

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

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