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Bundle Attachment Share Rolling Mean Report
x402
Bundle Attachment Share Rolling Mean Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Computes a rolling mean of bundle attachment share (bundle orders / eligible orders) over a sliding window across up to 200 retail data rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Bundle attachment share - Rolling mean report: Rolling mean report for Bundle attachment share. Supplied retail figures only, up to 200 records. No platform access, live rates or order execution. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded rolling mean report report.
Output
A bounded rolling mean report for bundle attachment share, returning smoothed ratio values (bundle_orders / eligible_orders) computed over the specified sliding window across the supplied rows, limited to 200 input records. No live rates, platform access, or order execution is included.
Example use cases
Smooth weekly bundle attachment trends
“I have 10 weeks of bundle and eligible order counts for my retail store — can you calculate the rolling mean of our bundle attachment share using a window of 3 so I can see the smoothed trend?”
Monitor bundle rate for retail dashboard
“Run a rolling mean report on these 20 rows of bundle and eligible order data with a window size of 4 — I want to see how our bundle attachment share is trending without the week-to-week noise.”
Quarterly bundle performance review
“I've got 50 periods of retail data showing bundle orders and eligible orders. Compute the rolling mean of the bundle attachment share with a window of 5 so I can review the smoothed performance for our quarterly report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-retail-bundle-attachment-rolling?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a smoothed rolling average of bundle attachment share (bundle orders divided by eligible orders) across a series of retail periods, using supplied data only. It is ideal for noise reduction in retail bundling KPIs without requiring live platform access. Prefer it over raw ratio computation when trend smoothing across a sliding window is needed.
Side effects
- Fewer than 2 rows provided — minimum row count not met
- Window size exceeds number of rows — computation not possible
- eligible_orders value is 0 or missing — division by zero or validation error
- More than 200 rows submitted — exceeds maxItems limit
- Non-numeric values in bundle_orders or eligible_orders fields
- Window integer outside allowed range of 2–200
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| window | integer |
Tags
x402
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