affiliate_fraud_clickstream_detector

Active

declared in 0.2.0

Analyzes affiliate clickstream data from Common Crawl to flag potential fraud patterns (duplicate IPs, rapid clicks, device spoofing). Designed for CMOs to validate affiliate traffic quality and prevent budget waste. Inputs: affiliate network name and date range. Outputs: fraud probability score, suspicious IP list, and pattern analysis. Keywords: affiliate fraud detection, clickstream analysis, marketing attribution, traffic validation.

Parameters schema

{
  "type": "object",
  "required": [
    "affiliate_network",
    "date_range"
  ],
  "properties": {
    "async": {
      "type": "boolean",
      "description": "If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts."
    },
    "threshold": {
      "type": "number",
      "default": 0.7,
      "maximum": 0.99,
      "minimum": 0.1,
      "description": "Fraud probability threshold (0.1-0.99)"
    },
    "date_range": {
      "type": "object",
      "required": [
        "start",
        "end"
      ],
      "properties": {
        "end": {
          "type": "string",
          "format": "date",
          "description": "End date in YYYY-MM-DD format"
        },
        "start": {
          "type": "string",
          "format": "date",
          "description": "Start date in YYYY-MM-DD format"
        }
      }
    },
    "affiliate_network": {
      "type": "string",
      "description": "Name of the affiliate network to analyze (e.g., 'CJ Affiliate', 'Rakuten')"
    }
  }
}

What this tool wraps· 0 endpoints

min confidence0.70 0.50

No endpoints wrapped at confidence ≥ 0.50.

Parent server

@gapup/mcp-knowledge

https://github.com/getgapup/gapup-mcp

2/7 registries

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