exposure-audit

Free AI-visibility and competitive Exposure Audit for any domain. No account, no API key.

我該用這個嗎

品質與安全性

A
說明品質
100%
結構描述完整度
80%
命名品質
100%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

根據工具定義與協定合規性的自動化分析。

上下文成本

~239Token(工具定義)
~807 B典型回應大小
極小的注意力影響(128k 上下文的 0.19%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "exposure-audit": {
      "url": "https://dozier.io/backend/mcp"
    }
  }
}

遠端端點

https://dozier.io/backend/mcpstreamable-http

它能做什麼

工具清單

工具(1)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢run_exposure_audit(domain)

Run a free competitive-exposure / AI-visibility audit for a business domain. No account or API key needed. Pass a bare registrable domain (e.g. "acme.com"), not a full URL. A first-time domain starts a background run and this returns a "started" message — call the tool again with the same domain in about 2-3 minutes to fetch the result. Repeat domains within the cache window return instantly. This is a strictly rate-limited free tool, not a general-purpose research API — see the response text for status and the free-usage cap. A completed result ends with a link to view the same result on dozier.io (and run a free audit there).

輸入結構描述

{
  "type": "object",
  "properties": {
    "domain": {
      "title": "Domain",
      "type": "string"
    }
  },
  "required": [
    "domain"
  ],
  "title": "run_exposure_auditArguments"
}

輸出結構描述

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "run_exposure_auditOutput"
}

社群

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證據

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