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Returned Goods Value Recovery — Sequential Input-Change Attribution
x402
Returned Goods Value Recovery — 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 2026-10-15).
Computes a sequential (waterfall) attribution of how changes in returned-goods cost and recovered value contribute to shifts in a retail return recovery metric, comparing a 'before' and 'after' scenario.
Price / call$0.01
Success—
StatusUnknown
How this service works
Returned goods value recovery - Sequential input-change attribution: Sequential input-change attribution for Returned goods value recovery. 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 (waterfall) attribution report showing how each input change — returned_goods_cost and recovered_value — contributes to the overall shift in the return recovery metric between the before and after scenarios, limited to supplied retail figures with no live rates or order execution.
Example use cases
Quarter-over-quarter returns recovery analysis
“My return recovery numbers changed from last quarter to this quarter — before: $85,000 returned goods cost and $51,000 recovered; after: $78,000 cost and $52,500 recovered. Can you run a sequential waterfall attribution to show me how much of the recovery improvement came from the cost change versus the recovered value change?”
Retail policy change impact assessment
“We changed our returns policy and I want to know which factor drove the improvement in our recovery rate. Before the policy: $500,000 in returned goods cost, $310,000 recovered. After: $480,000 cost, $336,000 recovered. Give me a sequential input-change attribution breakdown.”
Supplier returns deal evaluation
“We renegotiated our supplier returns deal and want to attribute the impact — old figures were $22,000 returned goods cost and $13,200 recovered value; new figures are $19,000 cost and $13,300 recovered. Run a sequential waterfall analysis showing which input change contributed more to the recovery improvement.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-retail-return-recovery-waterfall?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to understand the sequential contribution of individual input changes (returned goods cost vs recovered value) to a shift in retail return recovery performance — particularly when you have clean before/after retail figures and want a structured waterfall decomposition rather than a simple ratio or percentage-change calculation.
Side effects
- returned_goods_cost of zero or below triggers exclusiveMinimum validation error
- missing required before or after fields returns a validation error
- values exceeding 1,000,000,000,000 are rejected by the maximum constraint
- payment not settled in USDC results in 402 payment required response
- malformed JSON body returns a 400 bad request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| after | object | |
| before | object |
Tags
x402
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