retail_media_attribution_bridge
ActiveTool of @gapup/mcp-knowledge
declared in 0.2.0
Provides unified attribution insights for retail media and programmatic campaigns by analyzing MMM signals from FreeWheel Marketplace and Common Crawl. Designed for ad revenue operations teams to bridge cross-channel performance gaps. Accepts campaign IDs, date ranges, and channel filters as input. Returns structured attribution data with source provenance and confidence scores.
Parameters schema
{
"type": "object",
"required": [
"campaignIds",
"startDate",
"endDate"
],
"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."
},
"endDate": {
"type": "string",
"format": "date",
"description": "End date for attribution window (YYYY-MM-DD)"
},
"channels": {
"type": "array",
"items": {
"enum": [
"retail_media",
"programmatic",
"both"
],
"type": "string"
},
"description": "Channels to include in analysis"
},
"startDate": {
"type": "string",
"format": "date",
"description": "Start date for attribution window (YYYY-MM-DD)"
},
"campaignIds": {
"type": "array",
"items": {
"type": "string"
},
"description": "List of campaign identifiers to analyze"
},
"confidenceThreshold": {
"type": "number",
"default": 0.7,
"maximum": 1,
"minimum": 0,
"description": "Minimum confidence score for included signals"
}
}
}No endpoints wrapped at confidence ≥ 0.70.
Parent server
@gapup/mcp-knowledge
https://github.com/getgapup/gapup-mcp
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