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Returned Goods Value Recovery – Two-Input Scenario Grid
x402
Returned Goods Value Recovery – Two-Input Scenario Grid is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Generates a two-dimensional scenario grid showing how returned goods value recovery changes as recovered_value and returned_goods_cost vary across user-specified ranges.
Price / call$0.01
Success—
StatusUnknown
How this service works
Returned goods value recovery - Two-input scenario grid: Two-input scenario grid 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 two-input scenario grid report.
Output
A structured two-dimensional scenario grid report showing computed value recovery outcomes for each combination of the specified X-axis and Y-axis input values, anchored to the provided baseline of recovered_value and returned_goods_cost. Up to a 10×10 matrix of results based on the supplied retail figures.
Example use cases
Retail returns stress test for Q4
“I want to stress test our Q4 returns recovery — baseline is recovered_value of 800 and returned_goods_cost of 1500. Sweep recovered_value across 700, 800, 900, 1000 on one axis and returned_goods_cost across 1200, 1400, 1600, 1800 on the other and show me the full scenario grid.”
Breakeven analysis for holiday return surge
“Can you build a scenario grid showing value recovery breakeven for a holiday return surge? Set the baseline to recovered_value = 500, returned_goods_cost = 950, and vary recovered_value across [400, 500, 600] and returned_goods_cost across [800, 950, 1100].”
Sensitivity check on returns cost assumptions
“Our finance team wants to see how sensitive return recovery is to our cost assumptions — baseline recovered_value is 750 and cost is 1200. Sweep both axes with recovered_value at [600, 700, 750, 800] and returned_goods_cost at [1000, 1100, 1200, 1300] and give me the grid.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-retail-return-recovery-stress-grid?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a structured two-input sensitivity or scenario grid specifically for retail returned goods value recovery, using only supplied retail figures (no live market rates or order execution required). It is ideal for finance, operations, or retail analytics workflows that need to model how changes in recovered value and returned goods cost interact across a defined range of scenarios, and where a low-cost ($0.01 USDC) per-call pricing model fits.
Side effects
- Invalid field_x or field_y enum value — must be 'recovered_value' or 'returned_goods_cost'
- field_x and field_y set to the same variable, producing a degenerate grid
- values_x or values_y arrays exceed 10 items
- returned_goods_cost baseline set to zero (exclusiveMinimum violated)
- Numeric values outside allowed range [-1,000,000,000,000, 1,000,000,000,000]
- Payment failure or insufficient USDC balance for x402 toll
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| field_x | string | |
| field_y | string | |
| baseline | object | |
| values_x | array | |
| values_y | array |
Tags
x402
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