signals

Beta. Pay-per-call eCommerce competitive intel for AI agents: pricing, promos, readiness & more.

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质量与安全性

A
描述质量
95%
模式完整度
99%
命名质量
98%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

发现(1)

  • LOWTool 'get_history' description lacks action verb在 get_history 中

基于对工具定义和协议合规性的自动分析。

上下文开销

~1,636token 数(工具定义)
~728 B典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 1.28%)

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中:

{
  "mcpServers": {
    "signals": {
      "url": "https://mcp.rivalsweeper.com/mcp"
    }
  }
}

远程端点

https://mcp.rivalsweeper.com/mcpstreamable-http

它能做什么

工具清单

工具(10)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢get_coverage(domain)

Check which competitive signals RivalSweeper has for an eCommerce domain, with per-signal freshness. Free and non-billable - call this before any billable tool so you never pay for a domain we do not cover.

输入模式

{
  "type": "object",
  "properties": {
    "domain": {
      "type": "string",
      "description": "eCommerce domain, e.g. gymshark.com"
    }
  },
  "required": [
    "domain"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_promotions(domain)

Active promotions/discount codes for a brand: code, discount type/value, min order, validity window. Freshness-stamped. 1 credit; no data = no charge.

输入模式

{
  "type": "object",
  "properties": {
    "domain": {
      "type": "string",
      "description": "eCommerce domain"
    }
  },
  "required": [
    "domain"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_competitor_price(domain, query, limit)

Price statistics (min/max/avg/median) plus recent product samples for a brand, optionally filtered by product-name query. Freshness-stamped. 1 credit; no data = no charge.

输入模式

{
  "type": "object",
  "properties": {
    "domain": {
      "type": "string",
      "description": "eCommerce domain"
    },
    "query": {
      "type": "string",
      "description": "Optional product-name filter, e.g. \"leggings\""
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50,
      "description": "Sample size, default 10"
    }
  },
  "required": [
    "domain"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_dna_competitors(domain)

The brand's last-known DNA competitor set: the closest competing brands RivalSweeper identified for a domain, each with name, website, country, home-market flag and match tier, plus the brand's own DNA profile. Freshness-stamped. 2 credits; no data = no charge.

输入模式

{
  "type": "object",
  "properties": {
    "domain": {
      "type": "string",
      "description": "eCommerce domain, e.g. gymshark.com"
    }
  },
  "required": [
    "domain"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_competitor_top_urls(domain)

A brand's current homepage top links (up to 10) enriched from its catalog and grouped into Products, Categories and Content, in that order. Per link: title, vendor, price + compare-at/on-sale, currency, stock status, URL status (active/inactive), review rating, homepage position, anchor text and last update. A top-level 'comment' flags when pricing and/or stock status are not captured for the domain. 2 credits; no data = no charge.

输入模式

{
  "type": "object",
  "properties": {
    "domain": {
      "type": "string",
      "description": "eCommerce domain, e.g. connox.com"
    }
  },
  "required": [
    "domain"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_readiness_score(domain)

RivalSweeper 6-pillar AI/agent-readiness score for a domain (schema.org, technical access, content quality, trust, AI-specific, entity recognition) with tier and highlights. Uniquely RivalSweeper data. 1 credit; no data = no charge.

输入模式

{
  "type": "object",
  "properties": {
    "domain": {
      "type": "string",
      "description": "Domain to score"
    }
  },
  "required": [
    "domain"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_brand_snapshot(domain)

Bundle: all current signals for one brand-day - promotions, price stats + samples, AI-readiness - in one call. 15 credits; no data = no charge.

输入模式

{
  "type": "object",
  "properties": {
    "domain": {
      "type": "string",
      "description": "eCommerce domain"
    }
  },
  "required": [
    "domain"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_history(domain, signal, months)

Monthly time-series of price changes (drops/rises/avg delta) or stock-status flips for a brand. Depth-tiered: up to 3 months = 5 credits, 4-12 months = 8, 13-24 months = 13. No data = no charge.

输入模式

{
  "type": "object",
  "properties": {
    "domain": {
      "type": "string",
      "description": "eCommerce domain"
    },
    "signal": {
      "type": "string",
      "enum": [
        "price",
        "stock_status"
      ],
      "description": "Which signal history, default price"
    },
    "months": {
      "type": "integer",
      "minimum": 1,
      "maximum": 24,
      "description": "Window in months, default 3"
    }
  },
  "required": [
    "domain"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_api_usage(days)

Your own account status: current prepaid credit balance, plus call count and credits consumed - overall and per tool - over a look-back window (default 30 days), plus lifetime credits spent. Free and non-billable. Requires your API key; only ever returns your own usage.

输入模式

{
  "type": "object",
  "properties": {
    "days": {
      "type": "integer",
      "minimum": 1,
      "maximum": 365,
      "description": "Look-back window in days, default 30"
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟡request_monitoring(domain)

Ask RivalSweeper to add a domain to monitoring. Free, but requires an account with a positive prepaid balance. First data typically lands within 24-72h.

输入模式

{
  "type": "object",
  "properties": {
    "domain": {
      "type": "string",
      "description": "Domain to start monitoring"
    }
  },
  "required": [
    "domain"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

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