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Net Merchandise Sales Base-100 Rebase Report
x402
Net Merchandise Sales Base-100 Rebase Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Calculates a Base-100 indexed rebase report for Net Merchandise Sales from supplied gross sales, discounts, and returns data across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Net merchandise sales - Base-100 rebase report: Base-100 rebase report 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 base-100 rebase report deliverable.
Output
Returns a Base-100 rebased index series for net merchandise sales (gross merchandise sales minus discounts and returns), expressed relative to the row specified by base_index (set to 100). Each input row yields a corresponding index value showing relative performance versus the baseline period.
Example use cases
Seasonal sales trend indexing
“I have 12 months of retail data and want to see how net merchandise sales (gross minus discounts and returns) moved relative to January — can you rebase it all to a base-100 index anchored at row 0? January: $50,000 gross, $2,000 discounts, $1,500 returns; February: $48,000 gross, $1,800 discounts, $1,200 returns; March: $55,000 gross, $2,200 discounts, $1,600 returns.”
Pre/post promotion sales comparison
“We ran a promotion starting in period 3 and I want to see how net sales shifted relative to the pre-promo baseline. Can you rebase my net merchandise sales to base-100 using period 2 as the anchor? Period 1: $20,000 gross, $800 discounts, $500 returns; Period 2: $21,000 gross, $900 discounts, $550 returns; Period 3: $25,000 gross, $2,000 discounts, $700 returns; Period 4: $27,000 gross, $2,200 discounts, $750 returns.”
Multi-channel retail scenario analysis
“I'm doing a scenario analysis on our retail channel and need a base-100 rebase of net merchandise sales across 5 quarters, anchored to Q1. Q1: $100,000 gross, $5,000 discounts, $3,000 returns; Q2: $110,000 gross, $6,000 discounts, $3,200 returns; Q3: $95,000 gross, $4,500 discounts, $2,800 returns; Q4: $130,000 gross, $7,000 discounts, $4,000 returns; Q5: $120,000 gross, $6,500 discounts, $3,800 returns.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-retail-net-merchandise-sales-index?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have time-series or multi-period retail sales data with gross sales, discounts, and returns, and need a normalized base-100 index to compare relative performance across periods. It is ideal for trend analysis, scenario planning, and benchmarking net merchandise sales without needing live inventory or platform integrations. Not suitable when you need real-time sales data, live inventory access, order execution, or platform fee lookups.
Side effects
- Fewer than 2 rows supplied (minItems:2 constraint violated)
- More than 200 rows supplied (maxItems:200 exceeded)
- Negative values for gross_merchandise_sales, discounts, or returns (minimum:0 violated)
- base_index references a row that doesn't exist in the submitted rows array
- Values exceeding 1 trillion (maximum:1000000000000 limit)
- Missing required fields (gross_merchandise_sales, discounts, or returns) in any row
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| base_index | integer |
Tags
x402
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