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Net Merchandise Sales Record Ranking
x402
Net Merchandise Sales Record Ranking is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Ranks an array of retail records by net merchandise sales (gross sales minus discounts and returns) and returns their order
Price / call$0.01
Success—
StatusUnknown
How this service works
Net merchandise sales - Record ranking: Record ranking for Net merchandise sales. 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 record ranking deliverable.
Output
A ranked ordering of the submitted retail records based on computed net merchandise sales (gross_merchandise_sales minus discounts minus returns), showing each record's position and net sales value so the highest-performing records can be identified at a glance.
Example use cases
Monthly retail performance ranking
“I have sales data for 6 months — January had $50,000 gross, $3,000 discounts, $1,500 returns; February had $48,000 gross, $2,800 discounts, $1,200 returns; March had $55,000 gross, $4,000 discounts, $2,000 returns; April had $52,000 gross, $3,500 discounts, $1,800 returns; May had $60,000 gross, $5,000 discounts, $2,500 returns; June had $45,000 gross, $2,500 discounts, $1,000 returns. Rank these months by net merchandise sales so I can see which performed best.”
Store branch net sales comparison
“Compare and rank these 3 store branches by net merchandise sales: Branch A had gross sales of $200,000, discounts of $15,000, returns of $8,000; Branch B had $180,000 gross, $12,000 discounts, $5,000 returns; Branch C had $220,000 gross, $20,000 discounts, $12,000 returns. Which branch ranks highest after accounting for discounts and returns?”
Product category performance ranking
“I need to rank 5 product categories by their net merchandise sales. Electronics: $80,000 gross, $8,000 discounts, $4,000 returns. Apparel: $60,000 gross, $9,000 discounts, $6,000 returns. Home goods: $45,000 gross, $3,000 discounts, $1,500 returns. Toys: $30,000 gross, $4,500 discounts, $2,000 returns. Sports: $35,000 gross, $2,000 discounts, $1,000 returns. Rank them all from top to bottom.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-retail-net-merchandise-sales-rank?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to rank a batch of 2–200 retail records by net merchandise sales computed locally from gross sales, discounts, and returns. It is purpose-built for offline scenario analysis and comparative ranking without requiring live inventory access, platform credentials, or order execution. Prefer it over general-purpose sorting when you want a dedicated, pay-per-call retail analytics computation that returns a clean record ranking deliverable.
Side effects
- Fewer than 2 rows submitted — minimum 2 records required for ranking
- More than 200 rows submitted — exceeds maxItems limit
- Negative values passed for gross_merchandise_sales, discounts, or returns — values must be >= 0
- Missing required fields (gross_merchandise_sales, discounts, or returns) in any row
- Values exceeding 1,000,000,000,000 — outside allowed maximum range
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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