Meilisearchmeilisearch.com

ScoredJul 24, 2026, 05:44 AM

Meilisearch's API program is strong across design, discovery, and onboarding — partners can find and evaluate the API with minimal friction. The two areas that most limit partner and agent success are agent-readiness context and runnable workflow coverage: there is no structured instruction file to orient AI coding agents, and the absence of a runnable, test-backed collection means agents must guess at real request shapes, error cases, and multi-step flows.

API DesignA clean, typed, well-governed API contract agents can reason about4 pass1 warn0 fail94A+
SignalPointsFindingsRationale
passSchema coverage & depthvia sdk25/251/1 (100%) public params are fully typed (no any/**kwargs). Analyzer confirms all methods have a derivable input schema. Investigated: sdk 100%, spec 67%.Typed, complete request/response schemas are what make agent function-calling possible.
passAuth declared & discoverablevia spec25/25authentication documented in the docs site at https://www.meilisearch.com/docs/capabilities/security/advanced/tenant_token_payload. Investigated: spec 100%, docs 100%.Agents can only authenticate when auth is declared, scoped, and discoverable.
warnMachine-readable, versioned contractvia spec18.8/25info.version="1.49.0" set but no versioning scheme (URL / header / media type) detected. Investigated: spec 75%, docs 50%.A current OpenAPI version with a declared versioning scheme lets agents reason about the contract.
passSecurity & governance hygienevia spec15/15No credential-shaped strings detected in spec. Investigated: spec 100%, wellknown 100%.No leaked secrets, no critical lint violations, no OWASP API Top-10 spec smells, and a published vulnerability-disclosure channel.
passExample coveragevia spec10/1091% example coverage across params + responses. Investigated: spec 100%, docs 100%, sdk 100%.Examples carry shape semantics schemas under-specify — for humans and agents alike.
Developer ExperienceThe context both developers and agents need to integrate fast — onboarding, code samples, complete descriptions and worked examples4 pass1 warn0 fail89A
SignalPointsFindingsRationale
passSelf-service developer portalvia docs29/29Signup page at https://cloud.meilisearch.com/register (CSR-rendered — body classifier inconclusive); free tier / sandbox documented in pricing/docs. Investigated: docs 100%.Self-serve key/account creation is the fast first call for partners, with no sales gate.
passCode samples in docsvia docs18/18Code samples present on 2/20 pages across 2 language(s); broader multi-language coverage missing. Investigated: docs 100%.Multi-language samples shorten time-to-first-call.
passDescription completenessvia spec15/1590% of operations + parameters have substantive descriptions. Investigated: spec 100%, sdk 96%.Complete descriptions are the context humans and agents need to use endpoints.
passChangelog publishedvia spec13/13changelog documented in the docs site at https://www.meilisearch.com/docs/changelog/changelog. Investigated: spec 100%, docs 100%, sdk 100%.A published changelog lets partners track changes without surprise.
warnQuickstart presentvia docs12.5/25Quickstart page reachable (1 variants scanned starting at https://cloud.meilisearch.com/register) but no runnable code sample detected in HTML or .md variant. Investigated: docs 50%.A quickstart is the fastest path from landing page to first successful call.
Agent DiscoveryPartners and their agents can find your APIs — llms.txt, registries, crawlable and reachable docs2 pass2 warn0 fail93A+
SignalPointsFindingsRationale
passDocs reachable, not hard auth-gatedvia docs30/30All 1 pages are publicly accessible. Investigated: docs 100%.Agents can only index and fetch docs they can reach — past auth gates and over correct HTTP semantics.
passRegistry & SDK presencevia docs28/28Indexed on Context7 (meilisearch/documentation, 4390 snippets). Investigated: docs 100%, sdk 100%, cli 100%.Listing in MCP registries and publishing SDKs puts the API where agents and their tooling look.
warnllms.txt present, valid & comprehensivevia docs25/30llms.txt contains parseable links but doesn't fully follow the proposed structure: https://www.meilisearch.com/docs/llms.txt: No blockquote summary found. Investigated: docs 83%, sdk 0%.A valid, comprehensive llms.txt is the machine-readable entry point for agents.
warnCrawlable / AEOvia wellknown9/12Sitemap present (2 entries) but carries no lastmod values. Investigated: wellknown 75%.Bots allowed plus a fresh sitemap make docs findable by agent crawlers.
Agent UnderstandingAgents can correctly interpret your APIs — machine-readable errors, consistent descriptions, structured data, parseable docs4 pass0 warn1 fail91A+
SignalPointsFindingsRationale
passMachine-readable errors (RFC 9457)via docs28/284 distinct 4xx/5xx response codes documented. Investigated: docs 100%, sdk 100%, spec 50%.RFC 9457 problem details and a documented error-code inventory let agents parse failures without burning tokens.
passOperation purpose clarityvia spec25/2597% of operations have a clear summary + operationId an agent can select on. Investigated: spec 100%.Agents select the right endpoint from its summary + operationId; clear, named operations make tool-selection reliable — the strongest driver of correct tool choice.
passAgent-navigable, token-efficient docsvia docs22/22All 1 pages contain server-rendered content. Investigated: docs 100%.Server-rendered, clean, small-footprint docs are what an agent can cheaply fetch and parse correctly.
passDocs structured datavia docs8/8JSON-LD Article markup on 18/18 assessed pages (100%) with dateModified present. Investigated: docs 100%.Structured data (JSON-LD/schema.org) on docs pages gives agents an unambiguous parse target and is what answer engines cite. Detected on the JS-rendered head (Firecrawl) for a bounded page budget, so JS-injected JSON-LD is now caught; pages we can't render are excluded rather than failed.
failAgent instructions file (AGENTS.md)via wellknown0/10No AGENTS.md at the site root or /.well-known/. Investigated: wellknown 0%.An AGENTS.md gives coding agents explicit setup, auth, and usage instructions to interpret and operate the API — beyond llms.txt's link index.
naDescription consistency across surfaces—/7Only 1 surface description(s) with ≥6 tokens available; need at least 2 to compare.Every surface tells the same story about what the product is.
Agent UsabilityAgents have the context to use your APIs reliably, not just find them3 pass0 warn2 fail71B
SignalPointsFindingsRationale
passRate-limit signalingvia spec22/22rate-limit behavior documented in the docs site at https://www.meilisearch.com/docs/capabilities/conversational_search/how_to/handle_errors_and_fallbacks. Investigated: spec 100%, docs 100%.Machine-readable rate-limit headers let agents throttle adaptively.
passPagination documented & consistentvia spec22/22Pagination params detected on 17 list endpoint(s). Investigated: spec 100%, docs 100%.Consistent, documented pagination lets agents traverse collections.
passSandbox separationvia sdk20/20Sandbox environments are exposed (sandbox). Investigated: sdk 100%, spec 0%, docs 0%.An isolated environment lets agents exercise destructive operations safely.
failIdempotency documentedvia spec0/270% of mutating operations document idempotency. Investigated: spec 0%, docs 0%, sdk 0%.Documented idempotency lets agents retry safely.
failRunnable collection with test scriptsvia platform0/9No public Postman workspace discovered for the org. Investigated: platform 0%.A public, maintained collection with assertions is runnable truth agents validate against.
Resources Discovered

The public resources we found for Meilisearch — the evidence behind the score. All discovered from public sources; nothing here requires access to your systems.

Agent hintsContext7 (4,390)
APIs analyzed1meilisearch
Want to improve your results?