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Marketing Contribution Return – Sequential Input-Change Attribution
x402
Marketing Contribution Return – Sequential Input-Change Attribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Calculates incremental effects on marketing contribution return by sequentially changing each input (marketing spend, attributed contribution) from baseline to final values in field order, producing a waterfall attribution report.
Price / call$0.01
Success—
StatusUnknown
How this service works
Marketing contribution return - Sequential input-change attribution: Change each input from baseline to final in declared field order, reporting each incremental effect; order dependent. Metric: Marketing contribution return. Supplied figures only; returns JSON with formula, units and limitations. One of 50 calculators with 20 analysis modes. No live feed, financial advice or trade execution. 0.01 USDC includes one bounded sequential input-change attribution report.
Output
A JSON object containing the sequential waterfall attribution of the marketing contribution return metric, including the incremental effect of changing each input (marketing spend first, then attributed contribution) from baseline to final values, along with the formula used, units, and stated limitations of the order-dependent analysis.
Example use cases
Monthly marketing ROI waterfall review
“I need a step-by-step breakdown of what drove my marketing contribution return change this month — last month spend was $10,000 with $18,000 attributed contribution, this month spend is $12,000 with $20,000 attributed contribution. Show me the incremental impact of each input change in sequence.”
Campaign budget increase attribution
“We increased our ad budget from $3,000 to $4,500 and attributed contribution went from $6,000 to $7,200. Can you run a sequential waterfall attribution on the marketing contribution return to show which change had the bigger incremental effect?”
Quarterly performance decomposition for marketing team
“For our Q3 vs Q2 marketing review: Q2 had $50,000 spend and $90,000 attributed contribution, Q3 had $47,000 spend and $95,000 attributed contribution. Give me a sequential input-change attribution report on marketing contribution return with the formula and any limitations noted.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-finance-marketing-return-waterfall?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to understand not just the overall change in marketing contribution return, but how each individual input (spend, attributed contribution) contributed to that change in a specific declared sequence. It is ideal for waterfall/bridge chart analyses, period-over-period marketing reviews, and situations where you want a structured, formula-backed decomposition with explicit limitations disclosure rather than a simple delta calculation.
Side effects
- Marketing spend must be strictly greater than zero — zero or negative spend values will fail validation
- Missing required fields in before or after objects will cause a schema validation error
- Extremely large or small values near the schema limits may produce edge-case numerical results
- Order-dependence of the waterfall means results are not symmetric — swapping before and after will yield different incremental effects
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| after | object | |
| before | object |
Tags
x402
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