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Marketing Contribution Return Threshold Classifier
x402
Marketing Contribution Return Threshold Classifier 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).
Classifies up to 200 marketing contribution return (MCR) values against user-supplied inclusive lower and upper bounds, returning a structured JSON report with formula, units, and limitations.
Price / call$0.01
Success—
StatusUnknown
How this service works
Marketing contribution return - Threshold classification: Classify up to 200 calculated values against supplied inclusive bounds. 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 threshold classification report.
Output
A JSON object containing the threshold classification result for each row (whether the calculated marketing contribution return falls within the inclusive lower and upper bounds), plus the formula used to compute MCR, the units applied, and any stated limitations of the calculation.
Example use cases
Monthly campaign performance review
“I have six months of marketing data — for each month classify whether the marketing contribution return falls between 20 and 80: Jan spend 12000 return 18000, Feb spend 11000 return 15000, Mar spend 13000 return 22000, Apr spend 10000 return 9000, May spend 14000 return 25000, Jun spend 9000 return 11000.”
Agency benchmark threshold audit
“We need to check which of our agency's 10 campaigns hit our acceptable MCR range of 50 to 150 — here are the attributed contributions and marketing spends: (5000,8000), (6000,7500), (4500,9000), (7000,10000), (8000,12000), (3000,4000), (5500,8800), (6200,9300), (4800,7200), (7500,11000). Classify all of them and give me the formula used.”
Budget reallocation decision support
“Before I reallocate Q3 budgets, classify our three product lines' marketing contribution returns against a lower bound of 30 and upper bound of 120: product X spent 25000 and attributed 40000, product Y spent 18000 and attributed 15000, product Z spent 30000 and attributed 55000.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-finance-marketing-return-threshold?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to batch-classify multiple pre-calculated or raw marketing contribution return figures against a fixed inclusive numeric range and receive a structured JSON report with formula and unit metadata. It is ideal for auditing campaign portfolios, automating threshold-based segmentation of MCR values, or feeding classification results into downstream reporting pipelines. Prefer it over general-purpose calculators when you specifically need the bounded threshold classification mode (not regression, trend, or other analysis modes) for the marketing contribution return metric.
Side effects
- Fewer than 2 rows supplied — minimum item count not met
- marketing_spend is zero or negative — exclusiveMinimum violation
- Row count exceeds 200 — maxItems constraint
- Lower or upper bound outside allowed numeric range — schema validation error
- Missing required fields attributed_contribution or marketing_spend in any row
- Malformed JSON payload returns 400 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| lower | number | |
| upper | number |
Tags
x402
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