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Multi-Touch Attribution MCP
x402
Multi-Touch Attribution MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.15/call, status unknown (last checked 2026-10-12).
Processes multi-touch attribution analysis to assign credit across marketing touchpoints in a customer journey
Price / call$0.15
Success—
StatusUnknown
How this service works
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Output
Returns attribution results showing how conversion credit is distributed across marketing touchpoints, including weighted scores or percentages for each channel or interaction in the customer journey.
Example use cases
E-commerce campaign attribution breakdown
“I have conversion data from my last email campaign, paid search ads, and organic social — can you run multi-touch attribution on it and tell me how much credit each channel gets? Here's the journey data: first touch email, middle touch Google Ads, last touch organic Instagram, conversion value $120.”
Ad spend ROI by channel
“We're trying to figure out which of our marketing channels are actually driving sales. Process this multi-touch attribution data from our Q3 campaigns so we can see the weighted credit for each touchpoint: display ad, retargeting ad, email newsletter, direct visit.”
Linear vs last-touch comparison
“Can you run a multi-touch attribution analysis on this customer journey data so I can see how conversion credit is distributed across touchpoints? I want to understand which channels are undervalued by last-touch attribution. Data: social impression, blog visit, email click, checkout.”
Technical details
Endpoint
POSThttps://api.m2mcent.com/multi-touch-attribution-mcp/api/process?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to process multi-touch attribution calculations programmatically within an agentic workflow, especially when integrating attribution analysis as a step in a larger marketing analytics pipeline and need a pay-per-call model without a long-term SaaS commitment.
Side effects
- Invalid or malformed data string returns an error response
- Empty data field causes processing failure
- Unrecognized data format may result in incomplete attribution output
- Network timeout on large datasets
- Missing required data field returns 400-level error
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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