GoBuy Product Trust

io.github.digitalmentes7-maker由 GitHub 帳號 digitalmentes7-maker 發布v1.0.0更新於 Oct 24, 2026

Marketplace-evidence trust scores for AI agents: a 0-100 Evidence Score with signal breakdown.

已驗證Streamable HTTP可網頁執行商業與電商

概覽

AI 產生的概覽

一個遠端 MCP 端點,為商品回傳 0-100 的市場證據可信度分數與訊號明細。

可以做什麼
GoBuy Product Trust 是透過託管端點存取的遠端 MCP 伺服器。根據其登錄描述,它為 AI 代理提供市場證據可信度分數:一個 0-100 的 Evidence Score,以及底層訊號的明細。所提供的清單未列出具體工具,因此這裡不說明其確切操作。
適用情境
當助理需要快速取得市場商品的可信度或證據評分,並需要訊號明細來解釋該評分時,可以考慮使用。若你需要的是商品搜尋、比價或購買而非評分,則較不適用。
執行需求
需要支援 streamable HTTP 傳輸的用戶端,以及對遠端端點的網路存取。清單宣告無需身分驗證、無環境變數、無標頭,也不需要本機套件或執行環境。
安裝前請注意
清單未宣告任何憑證,但該伺服器是第三方託管端點,傳送給它的任何商品或查詢資料都會離開你的裝置。所提供的資料未說明評分方法與訊號來源,因此應把評分視為參考而非權威結論。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 GoBuy Product Trust,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/io.github.digitalmentes7-maker%2Fgobuy-product-trust/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "gobuy-product-trust": {
      "type": "http",
      "url": "https://mcp.gobuy.ai/mcp"
    }
  }
}

工具

5

check_product_trust

Check Product Trust Score

Return the GoBuy Evidence Score (0-100) and complete signal breakdown for a single retailer listing on Amazon, Walmart, Target, or Best Buy. This is the GPV-1 gate evaluator: score >= 55 PASS, 35-54 FLAG, < 35 or not-indexed BLOCK. The returned verdict is an evidence tier (strong/moderate/weak), not a computed GPV-1 checkout decision. Use this for individual product lookups. To compare and rank multiple products, use `compare_products` instead. Use `analyze_reviews` only for explicitly requested Amazon review-sample analysis; this lookup never fetches reviews. Read-only — does not modify any state or place orders. Scores describe available marketplace records, not product quality or purchase recommendations.

輸入參數retailer必填product_id必填

compare_products

Compare and Rank Products

Fetch Evidence Scores for 2-20 retailer listings and rank them by GoBuy Evidence Score (highest first). Use this when an agent is choosing between multiple products. For a single product lookup, use `check_product_trust` instead. Read-only — does not modify any state or place orders, and never fetches reviews. Unindexed products rank last. This is not purchase advice.

輸入參數products必填

analyze_reviews

Analyze Amazon Review Sample

Analyzes up to 100 recent reviews (~30-90 seconds). Bright Data can take longer. Use only when Amazon review-sample analysis is explicitly requested; use `check_product_trust` for an existing evidence score or `compare_products` to rank listings. On-demand sampling without your cookie; reviews are sorted within the returned sample, but the provider does not guarantee the listing's newest 100. May trigger paid Bright Data collection and writes a seven-day analysis cache. force_refresh bypasses that cache and may start another paid scrape. A later explicit call without force_refresh resumes a pending job without a new scrape. Heuristics do not prove authenticity.

輸入參數retailer必填product_id必填force_refresh

check_store_score

Check Store Trust and Readiness Score

Retrieve a previously scored independent store or Shopify storefront by domain: agent-readiness, trust signals, structured data, and review system. Use this first for an existing store score; it is read-only and does not crawl. If not scored yet, use `scan_store` for an explicit fresh scan. For a retailer product listing rather than a storefront, use `check_product_trust`.

輸入參數domain必填

scan_store

Scan and Score Store Live

Score any online store live with a fresh crawl (~20 seconds). Use when `check_store_score` returns 404 or a fresh scan is explicitly requested. Use `check_store_score` instead to retrieve an existing result without crawling. Requires a full HTTP(S) URL and updates the stored store score; repeated calls can trigger new scans. For marketplace product evidence, use `check_product_trust` instead. Docs: https://docs-gobuy.pages.dev

輸入參數url必填

版本歷史

1
  1. v1.0.0最新Sep 16, 2026

評分

已滿足適用檢查項的 83%

該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。

  • 近 30 天內可連通必需25 分
  • 已宣告認證方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 圖示10 分
  • 文件15 分

    請宣告包含 README 的 GitHub 儲存庫,或在 OAuth 受保護資源後設資料中提供 resource_documentation。

  • 授權條款不適用

    託管服務按其提供方的條款使用,因此這裡不要求授權條款。此檢查項不計入百分比。