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Multi-Touch Marketing Attribution API
x402
Multi-Touch Marketing Attribution API is a paid API for AI agents from api.agentstools.dev, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-14).
Computes per-channel attribution credit across five models simultaneously (first-touch, last-touch, linear, time-decay, position-based) from a conversion path, returning a side-by-side model 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
A structured response with per-channel credit allocations for each of the five attribution models (first-touch, last-touch, linear, time-decay, position-based), plus a comparative summary showing how credit distribution differs across models for each channel in the submitted conversion path.
Example use cases
E-commerce funnel attribution audit
“I have a conversion path that went: Google Ads → email nurture → Facebook retargeting → direct visit → purchase. Run all five attribution models and show me how much credit each channel gets — I want to see which model favors paid vs owned channels.”
Justify marketing budget reallocation
“Our CFO wants to cut Facebook spend but last-touch says it drives most conversions. Can you run the full multi-touch attribution across first-touch, last-touch, linear, time-decay, and position-based on our typical journey (social ad → blog → email → Facebook ad → convert) so I can show the full picture?”
Compare model disagreement for SEM vs SEO
“I want to see how much first-touch vs position-based attribution disagrees on giving credit to organic search vs paid search in this path: organic search → paid search → email → conversion — run all five models and compare the outputs.”
Technical details
Endpoint
POSThttps://api.agentstools.dev/marketing/attributionWhen to prefer
Choose this endpoint when you need to compare multiple attribution models simultaneously rather than computing one at a time. It is ideal for marketing analysts who want a cross-model view in a single call, avoiding five separate API calls. Best when you have structured touchpoint data with timestamps and channel identifiers and need to present stakeholders with a model-agnostic view of channel contribution.
Side effects
- Malformed or empty conversion path returns a 400 validation error
- Conversion path with only one touchpoint may cause degenerate model outputs
- Missing timestamps on touchpoints breaks time-decay model calculation
- Invalid channel names or null entries may cause partial model failures
- Exceeding path length limits returns an error indicating max touchpoints
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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