ARC: agent checkout reachability

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/mcp

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

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

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

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

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。

• check_store

  Check if an AI agent can reach checkout on a store before trying. Call this with a store domain, such as allbirds.com. Returns the saved checkout evidence, or not checked yet when ARC has no saved check. Free, no login, no new scan, and no fetch of the store. A missing field says

• find_stores

  Find stores where a saved check shows an AI agent can reach checkout. Filter by platform, protocol, category, or min_grade (optional, default none). With no filters, returns those stores and labels the result default: no filters given. Each store carries its Agent Readiness Grade

• report_checkout

  Report how far one agent got at one store. Free, no login. Omit contributor_key and ARC issues one. Emails, phones, street addresses, card numbers, IP addresses, and private hosts are rejected. The report stays private until 3 independent contributors with a day-old key, or enoug

• get_store_hub

  [Requires sign-in] Look up a free ARC store card by host. Includes saved measurements and brand_claim ownership metadata. Brand statements are not measured by ARC; claims never change measured scores.

• google_checkout_readiness

  [Requires sign-in] 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.

• 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.

• can_agent_checkout

  [Requires sign-in] 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

• check_agent_readiness

  [Requires sign-in] Check whether personal AI agents can reach a product URL, understand it, and reach checkout. Runs ARC's readiness check: crawler access, whether an agent can answer a shopper's questions from the page, and personal shopping agents trying to add to cart or reach

• get_readiness_result

  [Requires sign-in] Get a readiness check by id. While running, reports progress. When complete, reports whether personal agents could reach the page, understand it, and reach checkout, plus the wall, concrete next steps, a directional score, a per-agent breakdown, and screenshots

• list_readiness_checks

  [Requires sign-in] List this workspace's recent readiness checks (newest first) — each store, its score, status, and id. Use an id with get_readiness_result to reopen a check.

• ask_agents_about_brand

  [Requires sign-in] Ask benchmark personal-agent personas what they think of a brand and whether they would recommend it for a category. Personas A to E are ARC benchmark personas named by how they shop: A always-on errands, B errands by text, C researches on its own computer, D w

• get_fixes

  [Requires sign-in] Concrete next steps to get recommended by personal agents and to become reachable, understandable, and buyable. Pass a readiness check id and/or the brand, category, store URL, and competitors that were recommended instead. Uses the check's evidence when an id

• bulk_create_monitors

  [Requires sign-in] Set up scheduled monitoring for one or more store URLs (the 'set up monitoring' flow). Validates each URL and rejects invalid/private/internal ones. GUIDED FLOW: first ask the user for the URLs (paste a list or a CSV), then the frequency (daily/weekly/monthly,

• list_monitors

  [Requires sign-in] List the workspace's monitors — each store re-checked on a schedule for whether personal agents can still reach it and its checkout. Includes cadence, status, last score, next run, and the monitor id.

• monitor_summary

  [Requires sign-in] Overview of whether monitored stores are still buyable by personal agents: latest score, trend, status, next run, and recent regression alerts.

• update_monitor

  [Requires sign-in] Change a monitor's cadence (daily/weekly/monthly) or label. Use the monitor id from list_monitors.

• pause_monitor

  [Requires sign-in] Pause a monitor so it stops running on schedule (its history is kept). Use the monitor id from list_monitors.

• resume_monitor

  [Requires sign-in] Resume a paused monitor.

• run_monitor_now

  [Requires sign-in] Run a monitor's scan immediately (off-schedule) to establish or refresh its baseline. Consumes one scan credit — only call when the user explicitly asks to run now. Use the monitor id from list_monitors.

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

  发布者（arcreport.ai）不是仓库所有者（abab7575）；可能是其他人代为上架的

• … 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 314 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 19 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 2627 个服务器的 0%
• 发布到注册中心的时间比此分类中其他 2627 个服务器的 51% 更新
• 基础检查结果等于或优于此分类中其他 2627 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

curl "https://www.arcreport.ai/api/precheck?url=https://allbirds.com"

{"host":"allbirds.com","known":true,"reachable_checkout":true,

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

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

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

{ "mcpServers": { "arc": { "type": "streamableHttp", "url": "https://www.arcreport.ai/api/mcp" } } }