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Return Restock Value Sequential Input-Change Attribution
x402
Return Restock Value Sequential Input-Change Attribution 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 sequential (waterfall) attribution of how changes in return volume, processing cost, recovery rate, and unit inventory value each contribute to changes in restock value for retail returns.
Price / call$0.01
Success—
StatusUnknown
How this service works
Return restock value after processing - Sequential input-change attribution: Sequential input-change attribution 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 sequential input-change attribution report.
Output
A bounded sequential input-change attribution (waterfall) report showing how each of the four inputs — returned units, processing cost, recoverable percent, and unit inventory value — individually contributed to the total change in return restock value between the 'before' and 'after' states, up to 200 records.
Example use cases
Period-over-period return recovery analysis
“My retail return metrics shifted between Q1 and Q2 — Q1 had 500 returned units, $15 processing cost, 75% recoverable, $40 unit value; Q2 has 620 units, $18 processing cost, 70% recoverable, $38 unit value. Show me a sequential waterfall breakdown of how each of those changes drove the overall restock value difference.”
Processing cost impact on restock value
“We just renegotiated our returns processing contract and cost dropped from $50 to $35 per unit. Everything else stayed the same: 200 returned units, 85% recovery rate, $60 unit inventory value. Run a sequential input-change attribution so I can see exactly how much that processing cost reduction improved our restock value.”
Recovery rate improvement attribution
“We improved our returns sorting process and recovery rate jumped from 65% to 82%. Before: 150 returned units, $25 processing cost, $30 unit value. After: same units and costs, just 82% recovery. Do a waterfall attribution to show the restock value impact of that recovery rate change.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-retail-return-restock-contribution-waterfall?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a structured, sequential waterfall decomposition of how individual retail return parameters (units returned, processing cost, recovery rate, unit value) each drive a change in overall restock value. It is purpose-built for retail returns analytics and does not require platform access, live inventory data, or order execution — ideal for offline or batch financial attribution with supplied figures only.
Side effects
- Invalid input values (e.g. recoverable_percent outside 0-100) return validation errors
- Missing required fields (returned_units, recoverable_percent, unit_inventory_value, processing_cost) in either before or after object cause request failure
- Negative values for cost or unit fields may be rejected
- Payment failure via x402 protocol results in no report returned
- Exceeding the 200-record limit may result in truncation or rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| after | object | |
| before | object |
Tags
x402
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