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Multi-Touch Marketing Attribution
x402
Multi-Touch Marketing Attribution is a paid API for AI agents from payai.agentstools.dev, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-15).
Computes per-channel credit across five attribution models simultaneously (first-touch, last-touch, linear, time-decay, position-based) for a set of conversion paths, returning a side-by-side comparison.
Price / call$0.03
Success—
StatusUnknown
How this service works
Multi-touch attribution over conversion paths, five models at once: first-touch, last-touch, linear, time-decay, and position-based. Returns per-channel credit for each model plus a comparison. Pure computation over your inputs.
Output
Returns per-channel credit scores for each of the five attribution models (first-touch, last-touch, linear, time-decay, position-based) across all input conversion paths, plus a side-by-side comparison summary showing how credit allocation differs across models.
Example use cases
Ad spend reallocation decision
“I have 500 customer journeys from last month — each with a list of ad channels they touched before converting. Run all five attribution models on them and tell me which channels look undervalued under last-touch versus time-decay so I can decide where to shift budget.”
E-commerce funnel channel audit
“Here are our conversion paths for the holiday campaign: awareness came from Facebook, retargeting from Google, and checkout nudge from email. Run first-touch, last-touch, linear, time-decay with a 5-day half-life, and position-based attribution so I can see how credit shifts across models for each channel.”
Comparing attribution for client report
“My client wants to see how their TV, podcast, and social channels would be credited under different attribution models. I have 80 conversion paths with timestamps — can you run all five attribution models and give me a comparison table I can drop into the report?”
Technical details
Endpoint
POSThttps://payai.agentstools.dev/marketing/attributionWhen to prefer
Choose this endpoint when you need to compare multiple attribution models simultaneously in a single call rather than running separate models one at a time. It is ideal for marketing analysts who want a neutral, model-agnostic view of channel credit without committing to a single methodology. Prefer it over single-model attribution tools when the goal is to surface disagreements between models (e.g., first-touch vs. time-decay) to inform budget decisions. Since it is pure computation over submitted data with no external data fetching, it is reliable and deterministic given the same inputs.
Side effects
- Missing required 'paths' field returns validation error
- Invalid path structure (missing channel touches) causes computation failure
- Non-numeric conversions weight or days_before values produce schema rejection
- Empty paths array may return zero-credit results or error
- Extremely large path arrays may hit timeout or payload limits
- Invalid halflife_days value (zero or negative) may cause division error in time-decay model
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| paths | array | Conversion journeys; each has a path array of channel touches and optional conversions weight and days_before array |
| halflife_days | number | Half-life in days for time-decay, default 7 |
| default_spacing_days | number | Assumed days between touches when no timestamps are supplied, default 1 |
Tags
x402
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