Agent Ready CheckoutEdition . The pay layer for agents.

360 check, 9 Nov 2026

Accor on the pay layer: the 360 agent-readiness check

In short

Accor scores 49 of 100 on Ora's agent-readiness scan, a C, read 14 Nov 2026. The six payment checks did not apply to accor.com on this read, which is how Ora treats a site it does not read as a shop. Six agents in, and a robots.txt and an llms.txt that both come back as HTML.

On 14 Nov 2026 the public site at accor.com scored 49 of 100 on Ora's agent-readiness scan, a C. Accor is Europe's largest hotel group, with more than 5,000 hotels, so this check reads the Payments layer first: the six checks that look for x402, MPP, UCP, ACP and AP2 on the domain, the same protocols this site's matrix tracks row by row. The other layers follow, with every check Ora ran and what it saw. Ora's one-line summary: Accor.com offers developer resources, but lacks an OpenAPI/Swagger specification.

The score

Accor on Ora, read 14 Nov 2026: points per layer, with the share of each layer's maximum. 18 checks pass, 13 are partial, 48 fail and 52 do not apply to this site.
LayerPointsShareWhat the layer asks
Discovery11 of 1479%Can agents find and recommend it
Access22 of 5540%Can agents read it
Usability28 of 6742%Can agents use it
Payments0 of 0none applyCan agents pay
Total49 of 10049%Grade C

The pay layer

Ora did not run the six payment checks against accor.com on this read: it marks them not applicable on a site it does not read as a shop, so the layer has no maximum and costs nothing. A travel seller that sells online can still publish any of the five protocols; the matrix says which processors and platforms carry each one. Each protocol links to its matrix row, where the processors and platforms that carry it are dated and sourced.

The six Payments checks Ora runs, on accor.com, read 14 Nov 2026. A protocol not found costs nothing, and a check marked does not apply was not run against the site.
Payment checkResultPointsMatrix rowWhat Ora saw
x402Does not apply0 of 2x402 in the matrixNo commerce signals detected - agent-payment protocols are optional for non-commerce sites
MPPDoes not apply0 of 2MPP in the matrixNo commerce signals detected - agent-payment protocols are optional for non-commerce sites
UCPDoes not apply0 of 3UCP in the matrixNo commerce signals detected - agent-payment protocols are optional for non-commerce sites
ACPDoes not apply0 of 3ACP in the matrixNo commerce signals detected - agent-payment protocols are optional for non-commerce sites
ACP delegate paymentDoes not apply0 of 3ACP in the matrixNo commerce signals detected - agent-payment protocols are optional for non-commerce sites
AP2Does not apply0 of 3AP2 in the matrixNo commerce signals detected - agent-payment protocols are optional for non-commerce sites

The other layers, check by check

Every check Ora ran on accor.com, grouped by layer, with the result, the points and what Ora recorded where its wording passes this site's gate.

Discovery: 11 of 14

Discovery checks on accor.com, read 14 Nov 2026; 6 more checks in this layer did not apply to the site.
CheckResultPointsWhat Ora saw
ARD discoveryPartial0 of 1/.well-known/ard.json exists but is not valid JSON
AI Catalog discoveryPartial0 of 1/.well-known/ai-catalog.json exists but is not valid JSON
Developer resource discoverabilityPass3 of 3Pass, no detail recorded.
Brand name discoverabilityPartial2 of 3accor.com ranks #6 for "Accor Group Hospitality" and appears 2 times in the top 10
Wikipedia / Wikidata entity presencePass4 of 4Wikipedia "Accor" and Wikidata Q212599 both verified - domain confirmed on both sources
NPM/PyPI SDK packageFail0 of 1No NPM or PyPI SDK package found
Agent platform configsFail0 of 1Could not locate a public repo containing agent configs or rules. If our probes missed it, AI coding agents likely will too - link the repo from your homepage or docs so it's discoverable.
Agent Plugins manifestFail0 of 1No Agent Plugins manifest (plugin.json) found in discovered repos
ChatGPT app listedPass2 of 2Pass, no detail recorded.

Access: 22 of 55

Access checks on accor.com, read 14 Nov 2026; 6 more checks in this layer did not apply to the site.
CheckResultPointsWhat Ora saw
Sitemap existsFail0 of 2No sitemap found
Content without JavaScriptPartial2 of 31933 chars with H1, but 0.9% content ratio is below the 5% target
Not blocked by bot detectionPass2 of 2Site accessible to 6 AI agent user-agents
Agent discovery fileFail0 of 2No agent discovery file found
A2A / agent-cardFail0 of 2No A2A agent card found at /.well-known/agent-card.json
Listed on skills.shFail0 of 1No official skills self-published on skills.sh (100 community skills with potential relation to this domain found, but only self-published official skills count)
pricing.md existsPartial1 of 2pricing.md found at /pricing.md (1 line), but it has fewer than 5 lines and it does not open with a # heading - add plan tiers, prices, and feature breakdowns; start it with a # title so agents read it as markdown
NLWeb Schema FeedsFail0 of 1No schemamap: directive in robots.txt
MCP well-known discoveryFail0 of 2No MCP server URL discovered
Agent mode viewFail0 of 2?mode=agent returns same content as homepage (no dedicated agent view)
HTTP Link headers (RFC 8288)Fail0 of 1No HTTP Link response headers (RFC 8288) found
Markdown URL fallbackFail0 of 2Homepage does not support the .md suffix. Probed https://accor.com/index.md and it did not return markdown (expected text/markdown content-type or a heading-led non-HTML body).
Modular llms.txt per product areaFail0 of 1No section-level llms.txt files found (optional)
llms.txt existsPartial0 of 1A file is present at https://accor.com/.well-known/llms.txt, but it returns an HTML page rather than a plain-text llms.txt.
llms.txt formattingFail0 of 2No llms.txt found to evaluate quality
JSON-LD structured dataFail0 of 4No JSON-LD structured data found on homepage
Pricing info accessibleFail0 of 3No pricing page or pricing data found
Public API/docs linked from homepagePass3 of 3Documentation site found at https://developer.accor.com
Agent instruction / when-to-useFail0 of 3No agent instruction file with when-to-use guidance found
Skills.sh skill qualityFail0 of 2No official skills on skills.sh to evaluate
JSON-LD entity linking (sameAs)Fail0 of 2No JSON-LD found - no entity linking possible
Metadata completenessPartial1 of 23/4 metadata signals present - missing: og:type
Organization schema completenessFail0 of 2No JSON-LD found - Organization schema missing
Schema type breadthFail0 of 2No extended schema types found - AI can only answer basic questions about this entity
Trust anchor pagesPartial1 of 2About, Contact pages verified - missing: Privacy
Markdown alternate linkFail0 of 1No sampled page advertises a markdown alternate. Add <link rel="alternate" type="text/markdown" href="..."> (or the equivalent Link response header) pointing at a markdown twin of the page.
Redirect hygienePass1 of 1Pass, no detail recorded.
Page token budgetPass1 of 1All 2 measured pages fit an agent context budget (largest ~1K tokens)
Content behind authPass2 of 2All 5 sampled pages are publicly readable (1 with substantive content)
OpenAPI spec publishedFail0 of 7No OpenAPI/Swagger specification found
Developer portalPass6 of 6Developer documentation portal found at https://developer.accor.com
API catalog (RFC 9727)Partial1 of 2api-catalog responded but body is not valid JSON
Markdown agent docsFail0 of 1Missing markdown content negotiation. Homepage returned text/html when probed with Accept: text/markdown (expected text/markdown), and none of the well-known root paths (/llms.md, /auth.md, /agents.md, /developers.md
Markdown content negotiation (acceptmarkdown.com)Fail0 of 1Homepage https://accor.com does not meet the Markdown negotiation requirements: Accept: text/markdown returned text/html; charset=utf-8; Vary header missing Accept (got "rsc,accept-encoding, origin")
Bot-UA markdown servingFail0 of 1No probed bot User-Agent (GPTBot, ClaudeBot, ChatGPT-User, PerplexityBot, Google-Extended, Applebot-Extended, ora-agent, DeepSeekBot) receives markdown when requesting HTML.
Agent crawler reachabilityPass2 of 2Reachable to all major AI crawlers - ChatGPT-User: reachable, ClaudeBot: reachable, Google-Extended: reachable, ora-agent: reachable, DeepSeekBot: reachable

Usability: 28 of 67

Usability checks on accor.com, read 14 Nov 2026; 34 more checks in this layer did not apply to the site.
CheckResultPointsWhat Ora saw
Public API with reachable endpointsPartial3 of 7API described in documentation at https://developer.accor.com but no machine-verifiable API surface confirmed. Best-of-protocols score: 3/7.
OAuth 2.0 supportPass5 of 5OpenID Connect discovery endpoint found at https://login.accor.com
Scoped permissionsFail0 of 5No declared OAuth scopes, security schemes, or scoped-permission documentation found
Agent onboarding frictionPass2 of 2Pass, no detail recorded.
Web Bot Auth directoryPartial1 of 2Web Bot Auth directory found but body is not valid JSON
OAuth Protected Resource metadata (RFC 9728)Fail0 of 2No /.well-known/oauth-protected-resource found (RFC 9728)
auth.md existsFail0 of 2Path https://accor.com/auth.md returned HTML (SPA / 404 fallback), not an auth.md document
auth.md structureFail0 of 2No /auth.md found at site root
Agent auth discovery metadataFail0 of 3Neither /.well-known/oauth-protected-resource nor /.well-known/oauth-authorization-server found. Probed: accor.com, api.accor.com.
Agent auth WWW-Authenticate hintFail0 of 1No 401 with WWW-Authenticate: Bearer resource_metadata=... found. Probed [https://accor.com/api, https://accor.com/api/v1, https://accor.com/v1, https://accor.com/v2, https://accor.com/agent/identity, https://accor.com/agent/auth
agent_auth endpoints reachableFail0 of 2No agent_auth endpoint URIs found in AS metadata or /auth.md prose; nothing to probe
MCP server / manifestFail0 of 6No MCP server or manifest found
WebMCP supportFail0 of 5No WebMCP support detected - no tool-attribute forms and no document.modelContext / navigator.modelContext usage found (scanned 8 of 23 same-origin script bundle(s) for modelContext registrations)
Rate limit response headersFail0 of 2No REST rate-limit headers found on probed endpoints
Idempotency-Key supportFail0 of 3No REST Idempotency-Key support detected
JSON error responsesPass4 of 4Pass, no detail recorded.
CLI tool availableFail0 of 3No CLI tool found
Multi-language SDK packagesFail0 of 3No SDK packages found across language ecosystems
NLWeb /ask endpointFail0 of 1No NLWeb-conformant /ask endpoint found via GET or POST
NLWeb streaming supportFail0 of 1NLWeb /ask does not support SSE streaming via GET or POST
MCP server-card.jsonFail0 of 2No MCP server card found (checked /.well-known/mcp/server-card.json, the site's ai-catalog.json, servers[].card in mcp.json, and <server>/server-card)
Product + docs MCP coverageFail0 of 2This bonus needs two MCP servers: one for your product so agents can take actions, and a separate one for your documentation so agents can answer questions from your docs.
Sandbox / test environmentFail0 of 2No sandbox or test environment found
REST batch / bulk endpointFail0 of 2No batch or bulk endpoint pattern found
Agent-friendly 404sFail0 of 2Nonexistent paths return HTTP 200 with the app shell (soft-404). Agents probing for resources conclude every path exists. Return a real HTTP 404 status for unknown paths.
Accessible document structurePass3 of 3Pass, no detail recorded.
Native interactive controlsPass3 of 3Pass, no detail recorded.
Accessible names on controlsPass2 of 2Pass, no detail recorded.
Form control labelingPass2 of 2Pass, no detail recorded.
Accessibility-tree injection safety (bonus)Pass2 of 2Pass, no detail recorded.
MCP Apps supportFail0 of 4No MCP Apps support detected - this product has an in-agent UI surface but exposes no ui:// resources or tool UI metadata for agents to render.
A2UI / generative UI supportFail0 of 2No A2UI or generative UI support detected
API schema complexity analysisPartial1 of 2REST: OpenAPI spec found but failed to parse for complexity analysis
Function calling compatibilityPartial1 of 2API spec found but couldn't validate function calling compatibility

The fixes worth most points

Ora attaches an estimate to each failing or partial check: how many points the site would gain by passing it. These are the 5 with the largest estimates for Accor.

OpenAPI spec published
Fail, 0 of 7, about 4.2 points to gain. Ora saw: No OpenAPI/Swagger specification found.
MCP server / manifest
Fail, 0 of 6, about 4 points to gain. Ora saw: No MCP server or manifest found.
Scoped permissions
Fail, 0 of 5, about 3.3 points to gain. Ora saw: No declared OAuth scopes, security schemes, or scoped-permission documentation found.
WebMCP support
Fail, 0 of 5, about 3.3 points to gain. Ora saw: No WebMCP support detected - no tool-attribute forms and no document.modelContext / navigator.modelContext usage found (scanned 8 of 23 same-origin script bundle(s) for modelContext registrations).
MCP Apps support
Fail, 0 of 4, about 2.7 points to gain. Ora saw: No MCP Apps support detected - this product has an in-agent UI surface but exposes no ui:// resources or tool UI metadata for agents to render.

Our read

Accor opens the door to all six agent user agents and hands them the wrong files. robots.txt answers with an HTML page instead of rules, so the policy rows cannot be met, and the llms.txt at accor.com/.well-known/llms.txt is an HTML page too. The home page gives 1,933 characters with an H1 at a 0.9 percent text ratio, and there is neither a sitemap nor JSON-LD. Ora read no commerce signals on the group behind more than 5,000 hotels, so the six payment checks did not apply on this read. The act layer is half built: OpenID Connect discovery at login.accor.com and a documentation portal at developer.accor.com, though the API it describes has no machine-verifiable surface, and Ora found neither an OpenAPI specification nor an MCP server, and no declared scopes. The brand search placed the domain sixth for a term read off the page, Accor Group Hospitality. Two files served as text would move this C.

Test your own checkout

The scan above is free and needs no account: enter a domain at ora.ai and read the same layers for your own site, with the six payment checks mapped to this matrix on the Ora Payments page. The command below runs the same audit from a terminal and exits with 1 under the score you set, so it can gate a deploy. Why Ora, and its limits.

npx ax@0.10 audit https://example.com --min-score 70

All 360 checks, one company a day. Corrections to the corrections page.

Sources

  1. ora.ai/api/score/accor.com, Ora's scan (vendor), read 14 Nov 2026
  2. Ora check catalog (GET /api/checks), read 14 Nov 2026
  3. accor.com, the company's site, read 14 Nov 2026

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