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Price After Percent Discount – IQR Outlier Flags
x402
Price After Percent Discount – 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 2026-10-15).
Calculates the price after a percent discount and flags IQR-based statistical outliers across a set of retail price rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Price after percent discount - IQR outlier flags: IQR outlier flags for Price after percent discount. 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 iqr outlier flags deliverable.
Output
Returns per-row computed discounted prices alongside IQR-based outlier flags indicating which rows fall outside the interquartile range of the discounted price distribution. No live inventory, account, or order data is included — purely local statistical computation on the supplied rows.
Example use cases
Retail price audit for outlier detection
“I have a list of product list prices and their discount percentages from our retail catalog — can you calculate the final discounted prices and flag any that are statistical outliers using the IQR method? Prices are 100, 110, 105, 98, 950 and discounts are 20, 22, 20, 19, 21.”
Scenario analysis for promotional discounts
“We're running a promotion with various discount levels — can you take these list prices and discount percents and tell me which final discounted prices look like outliers? Use: list prices 200, 210, 195, 205, 1500 with discounts 15, 15, 15, 15, 15.”
Quality check on imported pricing data
“I just imported retail pricing data and want to sanity-check it — can you calculate the price after discount for each row and flag any IQR outliers? Rows are list price 50 at 10% off, 55 at 10% off, 52 at 10% off, and 48 at 10% off, plus one suspicious entry at 800 at 10% off.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-retail-discount-price-outliers?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, cheap ($0.01 USDC) local statistical computation to detect pricing anomalies in a set of retail rows using the IQR method on post-discount prices. Prefer it over manual spreadsheet analysis or general-purpose statistics APIs when you have 2–200 retail rows with list prices and discount percents and need outlier flags returned immediately without needing live inventory or order data.
Side effects
- Fewer than 2 rows provided (minItems:2 violation) — request rejected
- list_price or discount_percent outside allowed bounds (0–1e12 and 0–100 respectively) — validation error
- More than 200 rows submitted — request rejected
- Malformed JSON or missing required fields — bad request error
- Insufficient row variance may make IQR flagging trivial or undefined
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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