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Bundle Contribution Weighted Result Mean
x402
Bundle Contribution Weighted Result Mean 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 the weighted mean of bundle contribution margins across multiple retail product bundles using supplied pricing and cost figures.
Price / call$0.01
Success—
StatusUnknown
How this service works
Bundle contribution - Weighted result mean: Weighted result mean for Bundle contribution. Supplied retail figures only. Local calculation and scenario analysis; no live inventory, account access, platform fee lookup or order execution. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded weighted result mean deliverable.
Output
Returns a single weighted mean bundle contribution value computed from the supplied rows of bundle pricing data (bundle_price, item_costs, packing_cost, fulfilment_cost) and corresponding weights. The result reflects the contribution margin averaged across bundles proportionally to their weights.
Example use cases
Weighted margin across seasonal bundles
“I have three seasonal gift bundles this quarter — one costs $60 in items, $6 packing, $12 fulfilment, sells for $120; the next costs $80, $8, $14, sells for $150; and the last costs $45, $5, $10, sells for $95. The bundles sold 500, 1200, and 300 units respectively — use those as weights and give me the weighted mean contribution.”
Scenario analysis for new bundle pricing
“I'm testing two pricing scenarios for my bundles before launch. Bundle A: item costs $70, packing $7, fulfilment $13, price $140 with weight 3. Bundle B: item costs $90, packing $9, fulfilment $16, price $170 with weight 1. What's the weighted mean bundle contribution across both scenarios?”
Multi-SKU bundle profitability review
“Can you work out the weighted average bundle contribution for my five product bundles? They have item costs of $30, $45, $60, $75, $90; packing costs $3, $4.50, $6, $7.50, $9; fulfilment costs $8, $10, $12, $14, $16; and prices $65, $95, $125, $155, $185. Use equal weights of 1 for all five.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-retail-bundle-contribution-weighted-mean?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a local, offline-style computation of weighted average bundle contribution margin using retail figures you already have — no live inventory, platform, or account data is needed. Prefer it for scenario planning, pricing sensitivity analysis, or aggregating contribution across multiple bundle SKUs with different sales volumes as weights.
Side effects
- Mismatched array lengths between rows and weights returns a validation error
- Fewer than 2 rows or weights supplied causes a schema minimum violation
- Negative or zero bundle_price may produce negative or zero contribution results
- All-zero weights could result in a divide-by-zero or undefined mean
- Values exceeding maximum (1e12) are rejected by schema validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| weights | array |
Tags
x402
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