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Linkup vs Serper

Linkup scores higher on the AgentReady, 67/100 against 56/100. 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

Linkup. Web Search API for AI with industry-leading accuracy, providing web search built for AI applications via one API call or deployed inside your own cloud.

Serper. Serper is a Google Search API service that provides lightning-fast Google search results in 1-2 seconds at an unbeatable price.

Where Linkup is ahead

Linkup passes clear canonical domain, public docs discoverable, llms.txt published, llms-full.txt / full agent docs and machine-readable metadata, and Serper does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds adopt: no mandatory sales call, fast time to first request, copyable quickstart, official python sdk and cli available. Serper misses those.

Where Serper is ahead

Serper passes rate-limit behavior predictable and agent compatibility verified, and Linkup does not. That is operate, whether an agent can run against it in production and recover when a call fails.

What neither does

Both fail 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, idempotency support. 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. Linkup leads 100 to 60. Linkup misses nothing; Serper misses clear canonical domain, public docs discoverable, llms.txt published, llms-full.txt / full agent docs, machine-readable metadata.

Understand. Both sit at 31/100 here. Linkup misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Serper misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Linkup leads 90 to 55. Linkup misses programmatic credential creation; Serper misses no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, official python sdk, cli available.

Operate. Serper leads 76 to 47. Linkup misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Serper misses machine-readable errors, retry behavior documented, idempotency support.

Pricing

Linkup starts at $0.001 and has a free tier. Serper does not publish one and has a free tier.

Signal by signal

Which to pick

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

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