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

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

• 连接方式: 在云端运行
• 传输方式: Streamable HTTP
• 分类: 网店与支付

安装

选择你使用的 AI 应用，然后复制设置。

你需要

• 在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

https://www.arcreport.ai/api/ask

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"
    }
  }
}

https://www.arcreport.ai/api/ask

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

工具名称和描述与服务器在 2026年11月8日 报告的完全一致。这些内容由作者撰写，不是我们写的；我们以纯文本形式显示。

• 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

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月9日

• ! 注意

  作者与仓库一致

  注册中心没有列出源代码仓库，因此无法将发布者（arcreport.ai）与代码对应起来

• … 尚未检查

  仍在维护

  我们还没有从 GitHub 读取这个仓库

• … 尚未检查

  有许可证

  我们还没有从 GitHub 读取这个仓库

• ✓ 通过

  端点有响应

  在 141 毫秒内响应（HTTP 200）

• – 不适用

  使用 OAuth 登录

  无需登录

• ✓ 通过

  工具描述中没有隐藏指令

  已读取 25 个工具描述，未发现针对 AI 的隐藏指令

与“网店与支付”中的其他服务器比较i

• 星标数多于此分类中其他 2571 个服务器的 0%
• 发布到注册中心的时间比此分类中其他 2571 个服务器的 53% 更新
• 基础检查结果等于或优于此分类中其他 2571 个服务器的 53%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：↓ 每周下载量i★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

作者的 README

仓库中没有找到 README