Qdrantqdrant.tech
Qdrant's API design is a standout strength — the machine-readable contract gives partners and agents a solid foundation to build against. The two areas that most urgently threaten partner program outcomes are agent usability and agent understanding: agents cannot reliably execute real workflows because runnable examples, idempotency guarantees, and rate-limit signaling are absent, and the docs lack the structured, machine-parseable context agents need to act without guessing.
API DesignA clean, typed, well-governed API contract agents can reason about4 pass1 warn0 fail94A+
| Signal | Points | Findings | Rationale | |
|---|---|---|---|---|
| pass | Schema coverage & depthvia sdk | 25/25 | 1/1 enums are named types (not bare strings). Investigated: sdk 100%, spec 50%. | Typed, complete request/response schemas are what make agent function-calling possible. |
| pass | Auth declared & discoverablevia spec | 25/25 | Authentication required (global or on every operation). Investigated: spec 100%, docs 100%. | Agents can only authenticate when auth is declared, scoped, and discoverable. |
| warn | Machine-readable, versioned contractvia spec | 18.8/25 | info.version="master" 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. |
| pass | Security & governance hygienevia spec | 15/15 | No credential-shaped strings detected in spec. Investigated: spec 100%, wellknown 0%. | No leaked secrets, no critical lint violations, no OWASP API Top-10 spec smells, and a published vulnerability-disclosure channel. |
| pass | Example coveragevia sdk | 10/10 | README is present and includes a runnable quickstart. Investigated: sdk 100%, spec 0%, docs 0%. | 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 examples3 pass0 warn2 fail63C
| Signal | Points | Findings | Rationale | |
|---|---|---|---|---|
| pass | Quickstart presentvia docs | 25/25 | Quickstart at https://qdrant.tech/documentation/quickstart/ with a runnable first-call sample. Investigated: docs 100%. | A quickstart is the fastest path from landing page to first successful call. |
| pass | Description completenessvia spec | 15/15 | 79% description completeness (target 90%+). Investigated: spec 100%. | Complete descriptions are the context humans and agents need to use endpoints. |
| pass | Changelog publishedvia spec | 13/13 | changelog documented in the docs site at https://qdrant.tech/documentation/release-notes/. Investigated: spec 100%, docs 100%, sdk 100%. | A published changelog lets partners track changes without surprise. |
| fail | Self-service developer portalvia docs | 0/29 | No signup page detected across conventional paths (/signup, /sign-up, /register, /get-started, /console/signup, /dashboard/signup, /try, /try-free, /free, /free-trial, /start, /start-free). Investigated: docs 0%. | Self-serve key/account creation is the fast first call for partners, with no sales gate. |
| fail | Code samples in docsvia docs | 0/18 | No detectable code samples across 20 sampled docs pages. Investigated: docs 0%. | Multi-language samples shorten time-to-first-call. |
Agent DiscoveryPartners and their agents can find your APIs — llms.txt, registries, crawlable and reachable docs2 pass2 warn0 fail79B
| Signal | Points | Findings | Rationale | |
|---|---|---|---|---|
| pass | Registry & SDK presencevia docs | 28/28 | Indexed on Context7 (websites/qdrant_tech, 10029 snippets). Investigated: docs 100%, cli 100%, sdk 67%, mcp 0%, wellknown 0%. | Listing in MCP registries and publishing SDKs puts the API where agents and their tooling look. |
| warn | llms.txt present, valid & comprehensivevia docs | 20.6/30 | No llms.txt directive found in HTML of any of 50 sampled pages. Investigated: docs 69%, sdk 0%. | A valid, comprehensive llms.txt is the machine-readable entry point for agents. |
| warn | Docs reachable, not hard auth-gatedvia docs | 15/30 | 13 of 50 sampled pages return 200 for non-existent URLs (soft 404). Investigated: docs 50%. | Agents can only index and fetch docs they can reach — past auth gates and over correct HTTP semantics. |
| pass | Crawlable / AEOvia wellknown | 12/12 | Docs paths crawlable by all monitored AI agents. Investigated: wellknown 100%. | 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 docs2 pass2 warn2 fail74B
| Signal | Points | Findings | Rationale | |
|---|---|---|---|---|
| pass | Machine-readable errors (RFC 9457)via spec | 28/28 | No explicit 4xx/5xx codes, but 69 operation(s) document a "default" error response. Investigated: spec 100%, docs 100%. | RFC 9457 problem details and a documented error-code inventory let agents parse failures without burning tokens. |
| pass | Operation purpose clarityvia spec | 25/25 | 99% 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. |
| warn | Agent-navigable, token-efficient docsvia docs | 15.4/22 | 1 of 49 pages have substantive content differences between markdown and HTML (avg 2% missing). Investigated: docs 70%. | Server-rendered, clean, small-footprint docs are what an agent can cheaply fetch and parse correctly. |
| warn | Description consistency across surfaces | 0.2/7 | Mean pairwise description similarity across 2 surfaces (spec, docs) is 1% (threshold 35% for full credit). | Every surface tells the same story about what the product is. |
| fail | Agent instructions file (AGENTS.md)via wellknown | 0/10 | No 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. |
| fail | Docs structured datavia docs | 0/8 | Neither JSON-LD nor OpenGraph/meta tags detected across 20 sampled pages — likely a CSR-only docs site. Investigated: docs 0%. | 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. |
Agent UsabilityAgents have the context to use your APIs reliably, not just find them1 pass0 warn3 fail48F
| Signal | Points | Findings | Rationale | |
|---|---|---|---|---|
| pass | Sandbox separationvia spec | 20/20 | Test credentials signaled (test-key prefixes) but no sandbox server declared in spec. Investigated: spec 100%, docs 100%, sdk 50%. | An isolated environment lets agents exercise destructive operations safely. |
| fail | Idempotency documentedvia spec | 0/27 | 0% of mutating operations document idempotency. Investigated: spec 0%, docs 0%, sdk 0%. | Documented idempotency lets agents retry safely. |
| fail | Rate-limit signalingvia spec | 0/22 | No rate-limit response headers documented. Investigated: spec 0%, docs 0%. | Machine-readable rate-limit headers let agents throttle adaptively. |
| fail | Runnable collection with test scriptsvia platform | 0/9 | No public Postman workspace discovered for the org. Investigated: platform 0%. | A public, maintained collection with assertions is runnable truth agents validate against. |
| na | Pagination documented & consistent | —/22 | No surface produced evidence for this capability in this run. | Consistent, documented pagination lets agents traverse collections. |
Resources Discovered
The public resources we found for Qdrant — the evidence behind the score. All discovered from public sources; nothing here requires access to your systems.
| Agent hints | Context7 (10,029) |
|---|---|
| APIs analyzed | 1 — Qdrant API |