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Extract vs Geoapify

Extract scores higher on the AgentReady, 71/100 against 59/100. They differ on 12 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Extract. Vend API Merchant — Six pay-per-call APIs for AI agents settled in Nano (XNO), no signup, no API key.

Geoapify. Geoapify Location Platform is a complete set of location APIs and developer resources for building, testing, and scaling map-based applications.

Where Extract is ahead

Extract passes llms.txt published, and Geoapify does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: response examples provided and errors and status codes documented. Geoapify misses those.

And on adopt, programmatic credential creation and cli available. Geoapify misses those.

Finally, on operate, structured, predictable output, machine-readable errors and retry behavior documented. Geoapify misses those.

Where Geoapify is ahead

Geoapify passes limits / constraints documented, and Extract 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: fast time to first request and copyable quickstart. Extract misses those.

And on operate, observable execution. Extract misses it.

What neither does

Both fail public docs discoverable, llms-full.txt / full agent docs, openapi / spec quality, request examples provided, agent-compatible signup flow, 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. Extract leads 80 to 73. Extract misses public docs discoverable, llms-full.txt / full agent docs; Geoapify misses public docs discoverable, llms.txt published, llms-full.txt / full agent docs.

Understand. Extract leads 69 to 54. Extract misses openapi / spec quality, request examples provided, limits / constraints documented; Geoapify misses openapi / spec quality, request examples provided, response examples provided, errors and status codes documented.

Adopt. Extract leads 80 to 75. Extract misses agent-compatible signup flow, fast time to first request, copyable quickstart; Geoapify misses agent-compatible signup flow, programmatic credential creation, cli available.

Operate is whether an agent can run against it in production and recover when a call fails. Extract leads 53 to 35. Extract misses idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; Geoapify misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Extract starts at 0.0001 XNO and has a free tier. Geoapify does not publish one and has a free tier.

Extract plansGeoapify plans
extract 0.0001 XNOFree $0
check-link 0.0001 XNO-
domain-info 0.0005 XNO-
web-search 0.0001 XNO-
geoip 0.0001 XNO-
nano-info 0.0005 XNO-
demo $0-

Signal by signal

SignalExtractGeoapify
AgentReady7159
Discovery8073
Understanding6954
Adoption8075
Operability5335
Public APIYesYes
MCP serverYesYes
OpenAPI specYesYes
CLIYesUnknown
llms.txtYesUnknown
Self-serve signupYesYes
Free tierYesYes

Which to pick

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

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

For AI agents

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