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Price After Capped Percentage Coupon – IQR Outlier Flags
x402
Price After Capped Percentage Coupon – IQR Outlier Flags 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).
Identifies IQR-based statistical outliers in a batch of retail prices computed after applying a capped percentage discount coupon.
Price / call$0.01
Success—
StatusUnknown
How this service works
Price after capped percentage coupon - IQR outlier flags: IQR outlier flags for Price after capped percentage coupon. 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 iqr outlier flags report.
Output
Returns IQR outlier flags for each submitted row, indicating which computed post-coupon prices (list price minus the lesser of the percentage discount or maximum discount cap) fall outside the interquartile range of the batch. Up to 200 records per call.
Example use cases
Retail catalog price audit
“I have 80 products in my retail catalog with list prices ranging from $10 to $500. Each gets a 25% discount capped at $40 max off. Can you flag which of those final prices are IQR outliers so I can review suspicious entries before publishing?”
Promotional pricing QA
“Before we launch this weekend sale, I need to validate our coupon calculations. We have 120 SKUs with various list prices, a 35% discount rate, and a $50 maximum discount cap. Can you run IQR outlier detection on the resulting prices and tell me which ones look anomalous?”
Competitive pricing anomaly check
“We just imported 150 competitor price records, each with a list price, a 20% off coupon, and a $30 discount ceiling. Can you analyze those post-coupon prices using IQR and flag any that look like outliers compared to the rest of the set?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-retail-capped-coupon-price-outliers?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to statistically audit a batch of retail prices that have been reduced by a percentage coupon with a hard dollar cap, specifically to surface IQR-based outliers. It is ideal for pre-launch pricing QA, data import validation, or catalog cleansing workflows where you already have structured rows of list_price, discount_percent, and maximum_discount values and need a lightweight, inexpensive outlier report without live market data or order execution.
Side effects
- Fewer than 2 rows submitted — minimum row count not met
- Row missing required field (list_price, discount_percent, or maximum_discount) — validation error
- list_price, discount_percent, or maximum_discount outside allowed numeric bounds — schema rejection
- More than 200 rows submitted — maxItems limit exceeded
- Non-numeric values in price fields — type error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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