ai.arcreport/ask
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Publisher-provided title
ARC (arcreport.ai): can an agent reach checkout?
Publisher-provided description
Free open check: can an AI agent reach checkout on this store? Advisory; ARC stops before payment.
Summary by lookupd
Lets an agent check whether it can reach checkout at stores, compare retailers, and read saved agent-commerce readiness data without…
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http ask https://www.arcreport.ai/api/ask
Codex, remote (streamable-http)
codex mcp add ask --url https://www.arcreport.ai/api/ask
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"ask": {
"url": "https://www.arcreport.ai/api/ask"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (25 tools)
Publisher-provided text
before_checkoutCall this right before your agent tries to check out at a store, or when a user asks "can my agent check out at <store>?". Returns a one-line answer, reaches_chfind_storesCall this when you need to pick a store for a product need and want one where a saved check shows an agent reached checkout. Filters: category or q (shopper worwhy_blocked_and_fixCall this after before_checkout says reaches_checkout is false, or when an agent got stuck at a store and you want the reason and the fix. Returns why (the savereport_outcomeCall this right after your agent tried to check out at a store, whatever happened, so the next agent knows. Free, no login. Omit contributor_key and ARC issuesstore_recordCall this when a user asks what ARC recorded for a store, or you need the citable store page. Returns the store page's verdict, checked_at, category, the recordcompareCall this when you must choose between a few stores for the same item and want the one where an agent is most likely to reach checkout. Pass 2 to 10 store domaiprecheckCheck if an AI agent can reach checkout on a store before trying. Call this first when the task is "can I check out at <store>?", "will my agent get through cheprecheck_bulkThe precheck read for up to 100 store domains or URLs in one call. Returns one precheck object per input, in order, each with an input field, plus routes[]: thefind_agent_ready_storesFind stores where a saved check shows an AI agent can reach checkout, for running shoes, beauty, clothing, home goods, or another product need. Use it for 'whercan_agent_checkoutCall when you need a saved checkout-link check for any public store URL, not only Index brands. Use it for 'what stops an agent at <store> checkout?' or 'whichask_arcRead whether an AI agent can reach checkout for a brand the ARC Index already lists. Use it for 'is <brand> agent-ready?', 'how does <brand> score on ARC?' or 'agent_commerce_adoptionRead ARC's agent commerce adoption counts, category and commerce platform rates from saved HTTP checks, including Checkout WebMCP among measured Shopify checkouproduct_data_checkFree latest saved product data and return/shipping policy check from the store's pages and structured data. Reads history only; no store fetch or model call. Agoogle_checkout_readinessRead saved public Google agentic checkout readiness checks for a store. Free; no new scan or paid calls. Merchant Center feed eligibility cannot be checked fromget_agent_factsRead free ARC agent facts for a store or product with no login. Returns TypeSafe Jev typed decisions (use-case mention, price clarity, agent-friendly descriptiolist_category_agent_factsList free ARC agent facts by category (beauty, footwear, apparel, …) with no login. Ranked by newest real Jev scores. JSON: GET /api/agent-facts?category=beautydataset_infoLatest open ARC dataset snapshot (start with store_answers: one plain answer per store on whether AI agents can find products and get a checkout link): immutablprotocol_matrixRead ARC's neutral Protocol Matrix: for UCP, ACP, PAP, WebMCP, MCP and agent payment protocols, how many checked stores declare, validate, answer and return a cagent_leaderboardRead ARC's open agent leaderboard: cart success over the fixed ARC-100 v1 test set for each agent path ARC measures (ARC browser shoppers A-E, the UCP path, thesubmit_leaderboard_runSubmit your agent's run against ARC-100 v1 to ARC's open leaderboard. Free. The run is listed as 'unverified' until ARC re-runs a sample. Format: arc-leaderboarsubmit_storeAdd stores to ARC's free, open agent-commerce directory (CC-BY dataset). Pass url for one store or hosts for up to 50. Each new host is validated (live HTTPS, nstore_cardRead a public store card and saved brand claim. No outbound fetch or model calls. Brand statements are from the brand and not measured by ARC; claims never chanvalidate_ucp_profileValidate a Universal Commerce Protocol (UCP) business profile against the published UCP JSON Schema (current release) and spec rules: authority binding, https eget_benchmarkARC Agent Shopping Index pilot results (pilot, not a ranking): whether 3 AI models, called through the OpenRouter API (not the consumer apps), reached a checkougenerate_fixesStarter files and snippets for the failed Agent Readiness Grade audits of one store: robots.txt allow rules for AI agents and crawlers, a UCP profile skeleton (
Details
- Version: 2026.10.14
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 354 ms
- First indexed:
- Last seen in registry:
- Website: https://www.arcreport.ai/for-agents
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