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Net Merchandise Sales Distribution Histogram
x402
Net Merchandise Sales Distribution Histogram 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).
Computes a distribution histogram of net merchandise sales (gross sales minus discounts and returns) across supplied retail data rows, grouped into configurable bins.
Price / call$0.01
Success—
StatusUnknown
How this service works
Net merchandise sales - Distribution histogram: Distribution histogram 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 distribution histogram deliverable.
Output
Returns a distribution histogram showing how net merchandise sales values (gross sales minus discounts minus returns) are spread across the requested number of bins, including bin boundaries and the count or frequency of data points falling within each bin.
Example use cases
Retail sales spread analysis
“I have a list of 20 transactions with gross merchandise sales, discounts, and returns for each one — can you compute the net merchandise sales histogram with 10 bins so I can see how the revenue is distributed?”
Identifying outlier revenue buckets
“Take these 15 retail rows with their gross sales, discounts, and returns values and build a net sales histogram with 5 bins — I want to spot if most of my sales are clustered in a narrow range or spread out.”
Scenario comparison for discount impact
“Here are two sets of retail data — one with our standard 5% discount and one with a 15% discount scenario — each with 8 rows of gross sales and returns. Can you give me net merchandise sales histograms with 6 bins each so I can compare the distributions?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-retail-net-merchandise-sales-histogram?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a local, offline-style distribution analysis of net merchandise sales computed from supplied retail figures — particularly when you want configurable bin counts and do not need live inventory, platform fees, or order data. Ideal for scenario analysis and exploratory data analysis on datasets of up to 200 rows without external account access.
Side effects
- Fewer than 2 rows provided — minimum 2 rows required
- More than 200 rows submitted — exceeds maxItems limit
- Bins value outside 1–30 range — validation error returned
- Negative values for gross_merchandise_sales, discounts, or returns — rejected by schema
- Missing required fields (gross_merchandise_sales, discounts, or returns) in any row — schema validation failure
- All rows have identical net values — histogram collapses to single bin
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array |
Tags
x402
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