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Repeat Purchasing Customer Share – Weighted Result Mean
x402
Repeat Purchasing Customer Share – 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 2026-10-16).
Calculates the weighted mean of repeat purchasing customer share (repeat customers / purchasing customers) across multiple supplied retail data rows using custom weights.
Price / call$0.01
Success—
StatusUnknown
How this service works
Repeat purchasing customer share - Weighted result mean: Weighted result mean for Repeat purchasing customer share. 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 bounded weighted result mean value representing the weighted average of repeat purchasing customer share (repeat_customers / purchasing_customers) across all supplied rows, computed using the provided weights array. The result is a ratio or percentage metric derived entirely from the submitted figures with no external data sources.
Example use cases
Multi-store repeat customer benchmarking
“I've got repeat and total customer counts from 5 store locations, and I want to weight headquarters stores more heavily — can you compute the weighted mean repeat customer share using weights 3, 3, 1, 1, 2 across those stores?”
Seasonal loyalty trend analysis
“Here are our repeat customer figures for each quarter this year: Q1 had 150 repeats out of 600, Q2 had 180 out of 700, Q3 had 210 out of 750, Q4 had 260 out of 800 — calculate the weighted mean repeat purchasing share giving Q4 double the weight of the other quarters.”
Retail segment weighted loyalty comparison
“We have three customer segments — premium, mid-tier, and budget — with repeat customer shares from supplied figures. Can you compute the weighted mean repeat purchasing customer share using weights 5, 3, 1 to reflect each segment's revenue contribution?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-retail-repeat-customers-weighted-mean?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have multiple retail data points (periods, locations, or segments) with varying importance and need a single summary metric for repeat customer loyalty, weighted by relative significance. Ideal for local scenario analysis or aggregation without needing live inventory, platform fees, or account access. Prefer this over simple averages when your data rows should contribute unequally to the final metric.
Side effects
- purchasing_customers value of 0 triggers exclusiveMinimum validation error
- mismatched lengths between rows array and weights array causing computation error
- fewer than 2 rows submitted violating minItems constraint
- more than 200 rows submitted violating maxItems constraint
- negative repeat_customers or weights values rejected by schema minimum
- repeat_customers exceeding purchasing_customers producing a ratio above 1 (not blocked but semantically anomalous)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| weights | array |
Tags
x402
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