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Return Restock Value After Processing – Distribution Histogram
x402
Return Restock Value After Processing – 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 2026-10-12).
Computes a distribution histogram of restock contribution values (recovered value minus processing cost) across up to 200 retail return records, bucketed into configurable bins.
Price / call$0.01
Success—
StatusUnknown
How this service works
Return restock value after processing - Distribution histogram: Distribution histogram for Return restock value after processing. Supplied retail figures only, up to 200 records. No platform access, live rates or order execution. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded distribution histogram report.
Output
A distribution histogram report showing how the computed restock contribution values (based on recovered inventory value minus processing cost) are spread across the specified number of bins, with bin ranges and frequencies for up to 200 retail return records.
Example use cases
Returns profitability spread analysis
“I have 50 rows of return data from last quarter, each with returned units, recoverable percent, unit inventory value, and processing cost. Can you bucket the net restock contribution values into 8 bins and show me the distribution histogram?”
Identifying low-recovery return clusters
“Look at these 30 retail return records and tell me how the restock values after processing are distributed — use 5 bins so I can spot which ranges have the most returns piling up.”
Seasonal return batch comparison
“Here are 120 return records from our holiday season — each has returned_units, recoverable_percent, unit_inventory_value, and processing_cost. Generate a 15-bin histogram of the restock contribution values so I can see where the bulk of recoverable value lands.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-retail-return-restock-contribution-histogram?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a statistical distribution view of retail return restock contribution values across a batch of records and want configurable histogram binning. It is ideal for offline analytics on supplied data rather than live inventory systems — no platform integration or live rates are used. Prefer this over raw aggregation endpoints when you need frequency distribution insight rather than a single summary statistic.
Side effects
- Fewer than 2 rows provided — minimum input requirement not met
- More than 200 rows supplied — exceeds maximum record limit
- bins value outside 1–30 range — rejected by schema validation
- Missing required row fields (returned_units, recoverable_percent, unit_inventory_value, processing_cost) — validation error
- Values outside allowed numeric ranges — rejected
- Payment not included or insufficient — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array |
Tags
x402
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