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Unit Return Rate Distribution Histogram
x402
Unit Return Rate 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 2026-10-27).
Computes a distribution histogram of unit return rates from supplied retail sold/returned unit data, bucketed into configurable bins.
Price / call$0.01
Success—
StatusUnknown
How this service works
Unit return rate - Distribution histogram: Distribution histogram for Unit return rate. 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
A bounded distribution histogram showing how unit return rates (returned_units/sold_units) are spread across the specified number of bins, based on the supplied retail row data. Each bin represents a range of return rates and indicates how many data points fall within it.
Example use cases
Spot high-return-rate product clusters
“I have sold and returned unit data for 50 SKUs and I want to see how the return rates are distributed — can you bucket them into 15 bins and show me the histogram so I can spot which return rate ranges have the most products?”
Seasonal return rate spread analysis
“Here's my sold and returned unit data for last holiday season across 30 product lines — can you run a distribution histogram with 8 bins so I can see whether returns were concentrated in a narrow range or spread widely?”
Benchmark return rate normality check
“I want to check whether my return rates follow a roughly normal distribution — I have 20 rows of sold and returned unit figures, can you give me a histogram with 5 bins to see the shape?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-retail-unit-return-histogram?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a local, offline statistical distribution of return rates from your own retail data without requiring live inventory access, platform integration, or order system connectivity. It is ideal for scenario analysis, benchmarking, or exploratory analytics on supplied datasets up to 200 rows, and when you want configurable bin granularity (1–30 bins). Prefer alternatives if you need real-time return rate monitoring, live platform data, or inventory-linked calculations.
Side effects
- Fewer than 2 rows supplied — minimum item count not met
- sold_units value of 0 triggers exclusiveMinimum validation error
- bins count exceeds maximum of 30
- More than 200 rows submitted — maxItems exceeded
- Malformed row objects missing required sold_units or returned_units fields
- Non-numeric values in numeric fields cause schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array |
Tags
x402
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