Agent Ready CheckoutEdition . The pay layer for agents.

360 check, 9 Nov 2026

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

In short

Albertsons scores 23 of 100 on Ora's agent-readiness scan, an F, read 14 Nov 2026. The six payment checks did not apply to albertsons.com on this read, which is how Ora treats a site it does not read as a shop. A page titled Pardon Our Interruption, which the scan read as the grocer's name.

On 14 Nov 2026 the public site at albertsons.com scored 23 of 100 on Ora's agent-readiness scan, an F. Albertsons is the second-largest supermarket operator in the United States, 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.

The score

Albertsons on Ora, read 14 Nov 2026: points per layer, with the share of each layer's maximum. 12 checks pass, 3 are partial, 57 fail and 60 do not apply to this site.
LayerPointsShareWhat the layer asks
Discovery6 of 1540%Can agents find and recommend it
Access13 of 5424%Can agents read it
Usability7 of 5014%Can agents use it
Payments0 of 0none applyCan agents pay
Total23 of 10023%Grade F

The pay layer

Ora did not run the six payment checks against albertsons.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 retailer 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 albertsons.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 albertsons.com, grouped by layer, with the result, the points and what Ora recorded where its wording passes this site's gate.

Discovery: 6 of 15

Discovery checks on albertsons.com, read 14 Nov 2026; 6 more checks in this layer did not apply to the site.
CheckResultPointsWhat Ora saw
ARD discoveryFail0 of 1No /.well-known/ard.json, no same-site rel="ard" link, and no legacy /.well-known/ai-catalog.json
Developer resource discoverabilityFail0 of 3Agent searched for "albertsons" developer resources but found nothing relevant
Brand name discoverabilityFail0 of 3albertsons.com was not in the top 10 for "Pardon Our Interruption" (searched your brand name alone: no main product term from your homepage qualified)
Wikipedia / Wikidata entity presencePass4 of 4Wikipedia "Albertsons" and Wikidata Q2831861 both verified - domain confirmed on both sources
robots.txt AI crawler policyPass2 of 2AI search crawlers: allowed in 3 of 3 checks (3 crawlers on 1 page). AI training crawlers: allowed in 2 of 2 checks (2 crawlers on 1 page), not scored.
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 listedFail0 of 2Not found in ChatGPT app directory
Homepage not hidden from searchFail0 of 1The homepage tells search engines not to index it (meta robots: noindex). Search engines drop it, so agents that search the web to find a site will not find this one.

Access: 13 of 54

Access checks on albertsons.com, read 14 Nov 2026; 6 more checks in this layer did not apply to the site.
CheckResultPointsWhat Ora saw
Sitemap existsPass2 of 2Valid sitemap found at https://www.albertsons.com/shop/sitemaps/sitemap-index.xml with multiple sitemaps entries
Content without JavaScriptPartial2 of 3677 chars with H1, but heading hierarchy skips H1 to H3
Not blocked by bot detectionPass2 of 2Site accessible to 4 agent user-agents (ChatGPT-User, OAI-SearchBot, Claude-User, PerplexityBot).
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
pricing.md existsFail0 of 2No pricing.md found - agents need machine-readable pricing to compare products and make purchase recommendations
NLWeb Schema FeedsFail0 of 1No schemamap: directive in robots.txt
MCP well-known discoveryFail0 of 2No MCP server URL discovered
Agent mode viewPass2 of 2Pass, no detail recorded.
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://albertsons.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 found. Tried /docs/llms.txt, /api/llms.txt, /developers/llms.txt, /guides/llms.txt, /reference/llms.txt. This is a bonus check: it can add a point and never costs one.
robots.txt agent-user policyPass2 of 2No applicable crawl or usage restriction found for 3 user-triggered agents (chatgpt-user, claude-user, perplexity-user) on 1 public page: https://albertsons.com/. Declared policy only
llms.txt existsFail0 of 1No llms.txt found at /llms.txt or /.well-known/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 homepageFail0 of 3No public API or documentation page linked from homepage
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 completenessFail0 of 2No metadata signals found - missing: canonical URL, HTML lang attribute, og:image, 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 2Only Contact page verified - missing: About, 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 1 measured page fit an agent context budget (largest ~1K tokens)
OpenAPI spec publishedFail0 of 7No OpenAPI/Swagger specification found
Developer portalFail0 of 6No developer portal found
API catalog (RFC 9727)Fail0 of 2No /.well-known/api-catalog found (RFC 9727)
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://albertsons.com does not meet the Markdown negotiation requirements: Accept: text/markdown returned text/html; charset=utf-8; Vary header missing Accept (got "accept-encoding")
Bot-UA markdown servingFail0 of 1No probed bot User-Agent (ChatGPT-User, Claude-User, Perplexity-User) receives markdown when requesting HTML. Optional: detect AI-bot UAs server-side and serve them a markdown representation directly.
Agent crawler reachabilityPass2 of 2Reachable to every agent we tested - ChatGPT-User: reachable, OAI-SearchBot: reachable, Claude-User: reachable, PerplexityBot: reachable

Usability: 7 of 50

Usability checks on albertsons.com, read 14 Nov 2026; 42 more checks in this layer did not apply to the site.
CheckResultPointsWhat Ora saw
Public API with reachable endpointsFail0 of 7No publicly reachable API surface detected (REST and GraphQL both absent or auth-gated)
OAuth 2.0 supportFail0 of 5No OAuth 2.0 or OpenID Connect support detected
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 directoryFail0 of 2No /.well-known/http-message-signatures-directory found
OAuth Protected Resource metadata (RFC 9728)Fail0 of 2No /.well-known/oauth-protected-resource found (RFC 9728)
auth.md existsFail0 of 2No /auth.md found at site root
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: albertsons.com, api.albertsons.com.
Agent auth WWW-Authenticate hintFail0 of 1No 401 with WWW-Authenticate: Bearer resource_metadata=... found. Probed [https://albertsons.com/api, https://albertsons.com/api/v1, https://albertsons.com/v1, https://albertsons.com/v2, https://albertsons.com/agent/identity
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 document.modelContext / navigator.modelContext usage found
JSON error responsesFail0 of 4API does not return JSON error responses (or no API detected)
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
Agent-friendly 404sPartial1 of 2The nonexistent path https://albertsons.com/__ora-404-probe-j17gj87s correctly returns HTTP 404. Partial credit: no Markdown error body was detected.
Accessible names on controlsPass2 of 2Pass, no detail recorded.
Accessibility-tree injection safety (bonus)Pass2 of 2Pass, no detail recorded.
API schema complexity analysisFail0 of 2No API schema detected
Function calling compatibilityFail0 of 2No API spec found - function calling requires discoverable endpoints

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 Albertsons.

Public API with reachable endpoints
Fail, 0 of 7, about 6.2 points to gain. Ora saw: No publicly reachable API surface detected (REST and GraphQL both absent or auth-gated).
MCP server / manifest
Fail, 0 of 6, about 5.3 points to gain. Ora saw: No MCP server or manifest found.
Developer resource discoverability
Fail, 0 of 3, about 4.4 points to gain. Ora saw: Agent searched for "albertsons" developer resources but found nothing relevant.
Brand name discoverability
Fail, 0 of 3, about 4.4 points to gain. Ora saw: albertsons.com was not in the top 10 for "Pardon Our Interruption" (searched your brand name alone: no main product term from your homepage qualified).
OAuth 2.0 support
Fail, 0 of 5, about 4.4 points to gain. Ora saw: No OAuth 2.0 or OpenID Connect support detected.

Our read

Albertsons let all four agent user agents through and showed them a page titled Pardon Our Interruption, the interstitial a bot shield serves, and the scan read that title as the brand: the brand search ran on those three words, found nothing, and costs 4.4 points that describe the probe, not the grocer. The page behind it gives 677 characters with a heading tree that skips from H1 to H3, no JSON-LD and no llms.txt; the sitemap is valid and robots.txt allows the search and training crawlers. Ora found no commerce signals on the second largest supermarket chain in the United States, so the six payment checks did not apply on this read. The act layer is empty: no publicly reachable API, and Ora found neither a developer portal nor an OpenAPI specification, neither an MCP server nor OAuth discovery. Its search for Albertsons developer resources found nothing. Serving the real home page to the named agents fixes the door, the brand search and the content row at once.

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

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