ARC: agent checkout reachability

ai.arcreport由 arcreport.ai 发布官方发布者v2.2.0更新于 Oct 27, 2026

Free, no sign-in MCP: can AI agents reach checkout at a store? Try: Use ARC to check allbirds.com

发布方自己的服务:ARC (arcreport.ai): can an agent reach checkout?

已验证Streamable HTTP可网页运行网页搜索与抓取安全与监控商业与电商

概览

AI 生成的概览

ARC 是一个托管型 MCP 服务器,让助手依据带日期的已存检查结果,判断 AI 智能体能否在某个网店走到结账。

可以做什么
  • 按店铺域名查询已保存的结账可达性,或按平台、协议、类别查找智能体可结账的店铺
  • 上报智能体在某店铺的进展,读取已保存的商品数据、退换货与配送政策检查,以及 Google 智能体结账就绪检查
  • 对商品链接运行就绪检查,并获取结果、进度、评分、各智能体明细与截图
  • 询问基准智能体人设对品牌的看法,并获得让店铺可被触达、可被购买的具体改进建议
  • 创建、列出、修改、暂停、恢复并立即运行店铺链接的定时监控,并汇总趋势与回退告警
适用场景
适合助手在购物或测试电商流程前,先确认智能体能否到达某店铺的结账;也适合商家长期跟踪并改善智能体就绪度。
运行要求
远程 Streamable HTTP 端点,无需安装。读取已存检查与上报结账尝试无需登录;店铺卡片、就绪检查、改进建议、人设问答与监控需要登录 ARC 工作区。未声明任何 API 密钥或环境变量。
安装前请注意
多项工具需要登录并对工作区生效。监控会按计划运行,run_monitor_now 会消耗一次扫描额度,应仅在用户明确要求时调用。上报内容在足够多独立贡献者确认前保持私密,且不得包含邮箱、电话、街道地址、卡号、IP 地址或私有主机。结果仅为参考、带日期且可能过期;缺失结果不等于否定。

安装

在 SourceWeft 中

  1. 打开 控制台中的 ARC: agent checkout reachability,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/ai.arcreport%2Fmcp/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "arc-agent-checkout-reachability": {
      "type": "http",
      "url": "https://www.arcreport.ai/api/mcp"
    }
  }
}

README

ARC: Agentic Report Card

ARC is the free, neutral record of which online stores AI agents can actually reach checkout at, with dated evidence.

Website: https://www.arcreport.ai

This repo holds ARC's public MCP connector metadata and setup instructions. ARC is a hosted service, so there is nothing to install or run.

Quick start: precheck (free, no sign-in, CC BY 4.0)

Before your agent tries a store, ask ARC whether agents can reach checkout there:

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

Real response (trimmed, 14 Oct 2026):

json
{"host":"allbirds.com","known":true,"reachable_checkout":true, "rails":[{"name":"UCP","status":"valid"},{"name":"ACP","status":"not_found"},          {"name":"MCP","status":"yes"},{"name":"Checkout WebMCP","status":"detected"}], "blockers":[],"confidence":"high","last_checked":"2026-10-13T09:47:13.000Z", "stale":true,"source":"ARC (arcreport.ai)","licence":"CC BY 4.0"}

reachable_checkout is based on ARC's last saved check. It does not mean an agent completed checkout. Check last_checked and stale before relying on it. Contact: [email protected] (ARC).

Advisory only, not a guarantee. Missing data or known:false is not a no.

Endpoints

WhatURLRegistry name
MCP connector (store checks)https://www.arcreport.ai/api/mcpai.arcreport/mcp
Ask connector (stores, protocols, submissions)https://www.arcreport.ai/api/askai.arcreport/ask

Both use the Streamable HTTP transport and are listed in the official MCP Registry. Reading saved checks (check_store, find_stores) and reporting a checkout attempt (report_checkout) need no sign-in.

Other ways in

Setup

Claude Code

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

Claude Desktop / claude.ai

Settings → Connectors → Add custom connector → URL https://www.arcreport.ai/api/mcp.

ChatGPT

Settings → Apps & Connectors → Advanced → Developer mode → Create connector → URL https://www.arcreport.ai/api/mcp.

Cursor (~/.cursor/mcp.json)

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

VS Code (.vscode/mcp.json)

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

Cline (cline_mcp_settings.json)

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

Swap in https://www.arcreport.ai/api/ask to use the Ask connector.

Files

  • server.json: registry entry for ai.arcreport/mcp (copies of both entries in server.mcp.json and server.ask.json)
  • glama.json: Glama directory metadata

How ARC reports results

Every result is dated and labelled by source: agent-reported, ARC-tested up to payment, or a verified order. A missing result never counts against a store.

License

Repo contents: MIT. ARC data: CC-BY-4.0.

来源:README.md,提交 629c197

工具

19

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 "not recorded" and is not a zero. Results are advisory. ARC stops before payment.

输入参数domain必填

find_stores

Find stores where a saved check shows an AI agent can reach checkout. Filter by platform, protocol, or category. With no filters, returns the most recently checked of those stores and labels the result default: no filters given. A missing result is not counted against a store. No login and no new scan. Results are advisory. ARC stops before payment.

输入参数limitcategoryplatformprotocol

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 enough reputation, agree within 14 days. A blocked outcome also waits for ARC's free HTTP recheck. Same as POST /api/outcomes.

输入参数blocker必填timestamp必填agent_name必填agent_family必填store_domain必填furthest_step必填contributor_keystore_error_text

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.

输入参数host必填

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.

输入参数host必填

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.

输入参数urlhost

can_agent_checkout

[Requires sign-in] Call when you need a saved checkout-link check for any public store URL, not only Index brands. Saved HTTP checkout check for a public homepage or product URL: catalog, product, checkout link, UCP profile, blocks, and one fix. No model call, payment, or browser scan. Uses ARC's last check (cached up to 24 hours). A missing result is unknown, not a no. A checkout link means reach checkout, not a completed order. Results are advisory. ARC stops before payment.

输入参数url必填

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 checkout. Returns a check id — poll get_readiness_result (about 30–60 seconds). This does not ask what agents think of the brand; use ask_agents_about_brand for that.

输入参数url必填task

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. Calling this again with the same id redisplays the result and does not start a new check. Never re-run check_agent_readiness just to see the screenshots again.

输入参数id必填

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.

无需输入参数。

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: Muse-style, Instinct-style, Grok Bot-style, OpenAI dots-style, and OpenClaw-style. This tool uses benchmark personas, including the Grok Bot-style persona; these are not live consumer-product sessions. It is not the real Grok read-back on a scan and it is not the agent-rails HTTP check. What Grok tells shoppers on a scan is a real model call via API, checked against the store's pages, not the consumer Grok app. All five cart attempts, Grok included, are ARC browser cart tests. Returns, per persona: mentioned, recommended, which competitors were recommended instead, sentiment, and short quotes, plus next steps. Limited to 8 runs per workspace per day and 12 per network. Free workspaces also share a site-wide daily cap so unpaid runs cannot drain the model budget.

输入参数brand必填category必填store_url必填competitors

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 is given. Does not start a new check.

输入参数brandscan_idcategorymentionedstore_urlrecommendedcompetitors_recommended

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, default weekly). Every plan runs the core panel of personal shopping agents — no picking needed. Call once without confirmed=true to preview the exact setup and scan-credit estimate, read that summary to the user, and only after the user explicitly says yes call again with confirmed=true to create the monitors. Each scheduled run uses one scan credit. Every run emails who reached the cart, who stopped or started, the stuck step, and the fix. Weekly is what the plans include; daily only fits when the plan's scan allowance covers it.

输入参数urls必填depthconfirmedfrequency

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.

无需输入参数。

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.

无需输入参数。

update_monitor

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

输入参数id必填labelfrequency

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.

输入参数id必填

resume_monitor

[Requires sign-in] Resume a paused monitor.

输入参数id必填

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.

输入参数id必填

版本历史

2
  1. v2.2.0最新Oct 13, 2026
  2. v2.1.0Oct 12, 2026

评分

已满足适用检查项的 100%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通必需25 分
  • 已声明认证方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 图标10 分
  • 文档15 分
  • 许可证10 分

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