ARC (arcreport.ai): can an agent reach checkout?

Was du damit machen kannst

Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.

• Verbindung: Läuft in der Cloud
• Transport: Streamable HTTP
• Kategorie: Onlineshops & Zahlungen

Installation

Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.

2/3 Prüfungen bestanden · Was du fragst, läuft über den Server des Anbieters (www.arcreport.ai)

claude mcp add --transport http ask https://www.arcreport.ai/api/ask

{
  "mcpServers": {
    "ask": {
      "url": "https://www.arcreport.ai/api/ask"
    }
  }
}

{
  "servers": {
    "ask": {
      "type": "http",
      "url": "https://www.arcreport.ai/api/ask"
    }
  }
}

Welche Apps ihn nutzen können

Basierend darauf, wie sich dieser Server verbindet, und auf der eigenen Doku jeder App, geprüft am 10. Nov. 2026.

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Alle Apps, mit Vor- und Nachteilen →

Was er kann

Tool-Namen und -Beschreibungen genau so, wie der Server sie am 8. Nov. 2026 gemeldet hat. Geschrieben hat sie der Entwickler, nicht wir; wir zeigen sie als reinen Text.

• before_checkout

  Call this right before your agent tries to check out at a store, or when a user asks "can my agent check out at ?". Returns a one-line answer, reaches_checkout, best_route (the best saved way in), up to 3 blockers, checked_at, the Agent Readiness Grade (grade, with expired when o

• find_stores

  Call 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 words), min_grade (optional, default none), limit (default 5). Returns total, the store hosts with checked_at and grade, an

• why_blocked_and_fix

  Call 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 saved blockers), fix (the store page's recorded fix, or "not recorded"), next_step and links to the full record. Example: wh

• report_outcome

  Call 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 issues one; send it on later reports. No personal data: emails, phones, addresses, card numbers and IPs are rejected or strippe

• store_record

  Call 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 recorded fix and links to the page, its JSON and Markdown. Example: store_record({"store":"allbirds.com"}) → {"verdict":"…","p

• compare

  Call 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 domains or URLs. Returns one short row per store (reaches_checkout, best_route, checked_at, grade), and pick: among stores wh

• precheck

  Check if an AI agent can reach checkout on a store before trying. Call this first when the task is "can I check out at ?", "will my agent get through checkout on ?", "best way to check out on " or "is agent-ready?". One call per store, before you hand a shopper a checkout link: b

• precheck_bulk

  The 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[]: the best known ways in for an agent (ucp, ucp_mcp, storefront_mcp, cart_link, browser), best evidence first, each with chec

• find_agent_ready_stores

  Find 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 'where can my agent check out for running shoes?' or 'which stores let an agent reach checkout for ?'. Reads real HTTP agent-

• can_agent_checkout

  Call 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 checkout?' or 'which checkout route works on ?' when you also want the one fix. Saved HTTP checkout check for a public homepage or product URL: catal

• ask_arc

  Read whether an AI agent can reach checkout for a brand the ARC Index already lists. Use it for 'is agent-ready?', 'how does score on ARC?' or 'which brands do agents get furthest with?'. For any store URL, call precheck first. No login and no new scan. Pass a brand, URL, or cate

• agent_commerce_adoption

  Read ARC's agent commerce adoption counts, category and commerce platform rates from saved HTTP checks, including Checkout WebMCP among measured Shopify checkouts, with unknown and not checked separate; shopper approval required. Curated sample, not all e-commerce. snapshotUcpByP

• product_data_check

  Free 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. A missing result is not a zero.

• google_checkout_readiness

  Read saved public Google agentic checkout readiness checks for a store. Free; no new scan or paid calls. Merchant Center feed eligibility cannot be checked from outside. Not Google approval or certification.

• get_agent_facts

  Read free ARC agent facts for a store or product with no login. Returns TypeSafe Jev typed decisions (use-case mention, price clarity, agent-friendly description, cart-blocker suspicion, readiness score) from an HTTP scrape. Not a browser session and not any third-party agent pro

• list_category_agent_facts

  List free ARC agent facts by category (beauty, footwear, apparel, …) with no login. Ranked by newest real Jev scores. JSON: GET /api/agent-facts?category=beauty

• dataset_info

  Latest 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): immutable versioned download URLs plus latest/ aliases (CSV and Parquet), row counts, method version and licence (CC-BY-4.0, att

• protocol_matrix

  Read 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 checkout link, with evidence labels (Measured / Inferred / Not measured). Saved checks only; no store requests or model c

• agent_leaderboard

  Read 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, the storefront MCP path), with n, dates, evidence labels and Wilson 95% intervals, plus unverified outside submissions. Sav

• submit_leaderboard_run

  Submit 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-leaderboard-submission/v1 (see /leaderboard/spec). Runs must stop before payment. Limit 5 per network per day. Same as POST /api/l

• submit_store

  Add 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, not parked, not redirecting to another brand); accepted hosts are queued for ARC's plain-HTTP rails checks (UCP, WebMCP,

• store_card

  Read 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 change scores.

• validate_ucp_profile

  Validate a Universal Commerce Protocol (UCP) business profile against the published UCP JSON Schema (current release) and spec rules: authority binding, https endpoints, orphaned extensions and, for a URL, hosting headers (no redirects, Cache-Control public max-age>=60). Pass url

• get_benchmark

  ARC Agent Shopping Index pilot results (pilot, not a ranking): whether 3 AI models, called through the OpenRouter API (not the consumer apps), reached a checkout step on their own on 35 non-Shopify stores, stopped before payment, with no accounts. Two runs: per model, hand-verifi

• generate_fixes

  Starter 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 (or the Shopify setting path), Product JSON-LD with price and stock placeholders, and an llms.txt. Built only from ARC's

Basischecksi

Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 11. Nov. 2026

• ! Vorsicht

  Entwickler passt zum Repo

  Die Registry nennt kein Quell-Repo, deshalb können wir den Herausgeber (arcreport.ai) nicht dem Code zuordnen

• … Noch nicht geprüft

  Wird noch gepflegt

  Dieses Repo haben wir noch nicht von GitHub gelesen

• … Noch nicht geprüft

  Hat eine Lizenz

  Dieses Repo haben wir noch nicht von GitHub gelesen

• ✓ Bestanden

  Endpunkt antwortet

  Antwort in 141 ms (HTTP 200)

• – Nicht zutreffend

  Anmeldung mit OAuth

  Keine Anmeldung nötig

• ✓ Bestanden

  Keine versteckten Anweisungen in Tool-Beschreibungen

  Wir haben 25 Tool-Beschreibungen gelesen und keine versteckten Anweisungen an die KI gefunden

Nutzerbewertungen

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Im Vergleich mit anderen in Onlineshops & Zahlungeni

• Mehr Sterne als 0 % der anderen 2697 Server in dieser Kategorie
• Neuer in der Registry veröffentlicht als 50 % der anderen 2697 Server in dieser Kategorie
• Basischecks gleich gut wie oder besser als bei 56 % der anderen 2697 Server in dieser Kategorie

Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.

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