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Brave Search vs Serper

Brave Search scores higher on the AgentReady, 58/100 against 56/100. They differ on 8 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Brave Search. Brave Search is a private, independent search engine that serves fast, accurate results from its own independent index of the Web, with AI answers and zero profiling.

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

Where Brave Search is ahead

Brave Search passes clear canonical domain 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 understand: structured api reference. Serper misses it.

And on adopt, official python sdk and cli available. Serper misses those.

Where Serper is ahead

Serper passes agent-compatible signup flow, and Brave Search does not. That is adopt, whether an agent can get a key and make its first successful call without a human in the loop.

It also holds operate: structured, predictable output and rate-limit behavior predictable. Brave Search misses those.

What neither does

Both fail public docs discoverable, llms.txt published, llms-full.txt / full agent docs, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, 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. Brave Search leads 73 to 60. Brave Search misses public docs discoverable, llms.txt published, llms-full.txt / full agent docs; Serper misses clear canonical domain, public docs discoverable, llms.txt published, llms-full.txt / full agent docs, machine-readable metadata.

Understand. Brave Search leads 46 to 31. Brave Search misses 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. Brave Search leads 60 to 55. Brave Search misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart; Serper misses no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, official python sdk, cli available.

Operate is whether an agent can run against it in production and recover when a call fails. Serper leads 76 to 53. Brave Search misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable; Serper misses machine-readable errors, retry behavior documented, idempotency support.

Pricing

Brave Search starts at $4 per 1,000 requests and has a free tier. Serper does not publish one and has a free tier.

Signal by signal

Which to pick

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

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