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Coupon Redemption Share – Rolling Mean Report
x402
Coupon Redemption 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 coupon redemption share (redeemed/issued ratio) over a sliding window across up to 200 retail data rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Coupon redemption share - Rolling mean report: Rolling mean report for Coupon redemption 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
Returns a rolling mean report of coupon redemption share (redeemed_coupons / issued_coupons ratio) computed over a sliding window of specified size across the input rows, limited to supplied retail figures with up to 200 records.
Example use cases
Retail promo campaign trend smoothing
“I have 8 weeks of coupon data from our last promo — issued and redeemed counts each week. Can you run a rolling mean with a window of 4 to smooth out the weekly noise and show me the trend in redemption share?”
Comparing redemption rate before and after price change
“We changed our coupon face value 3 months ago and I want to see a rolling mean of redemption share with a window of 2 across our 12 months of data — issued coupons ranging from 80 to 150 per month and redeemed from 10 to 30.”
Quarterly marketing report on coupon effectiveness
“For our quarterly marketing review, can you compute the rolling mean redemption share with a window size of 3 for the past 6 quarters? Quarter data: Q1 200 issued / 28 redeemed, Q2 180/25, Q3 220/34, Q4 210/30, Q5 195/27, Q6 230/35.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-retail-coupon-redemption-rolling?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a smoothed time-series view of coupon redemption share (not raw totals) using a rolling mean specifically, with up to 200 records of retail coupon data. It is ideal for trend analysis in promotional or retail contexts where per-period noise reduction is needed. Not suitable if you need live data, platform access, order execution, or statistical methods other than rolling mean.
Side effects
- Fewer than 2 rows supplied — minimum row count not met
- Window size exceeds number of rows — window larger than dataset
- issued_coupons value of 0 — division by zero for redemption share
- More than 200 rows supplied — exceeds maxItems limit
- Non-numeric values in issued_coupons or redeemed_coupons fields
- Payment failure — 0.01 USDC not settled via x402 protocol
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| window | integer |
Tags
x402
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