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Elasticsearch vs Meilisearch

Meilisearch scores higher on the AgentReady, 58/100 against 44/100. They differ on 7 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Elasticsearch. Elastic is a company providing the Elasticsearch Platform for search, observability, and security.

Meilisearch. Meilisearch is a search platform that indexes content and makes it accessible to both humans and AI.

Where Meilisearch is ahead

Meilisearch passes llms.txt published and llms-full.txt / full agent docs, and Elasticsearch does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: authentication documented. Elasticsearch misses it.

And on adopt, self-service signup, agent-compatible signup flow, fast time to first request and copyable quickstart. Elasticsearch misses those.

What neither does

Both fail structured api reference, openapi / spec quality, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, no mandatory sales call, programmatic credential creation, free trial or free allowance, structured, predictable output, machine-readable errors, retry behavior documented, 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. Meilisearch leads 100 to 87. Elasticsearch misses llms.txt published, llms-full.txt / full agent docs; Meilisearch misses nothing.

Understand. Meilisearch leads 23 to 15. Elasticsearch 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; Meilisearch misses structured api reference, openapi / spec quality, 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. Meilisearch leads 75 to 40. Elasticsearch misses self-service signup, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, free trial or free allowance, fast time to first request, copyable quickstart; Meilisearch misses no mandatory sales call, programmatic credential creation, free trial or free allowance.

Operate. Both sit at 35/100 here. Elasticsearch misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Meilisearch misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Elasticsearch does not publish a machine-readable starting price. Meilisearch does not publish one.

Signal by signal

Which to pick

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

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