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Inventory Position Sequential Input-Change Attribution
x402
Inventory Position 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 2026-10-18).
Performs waterfall (sequential input-change) attribution analysis on inventory position, showing how changes in on-hand, on-order, and backorder quantities each contribute to the overall position change.
Price / call$0.01
Success—
StatusUnknown
How this service works
Inventory position - Sequential input-change attribution: Sequential input-change attribution for Inventory position. 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 sequential input-change attribution deliverable.
Output
A bounded sequential (waterfall) attribution deliverable showing how changes in each of the three inventory inputs — on_hand, on_order, and backorders — individually and cumulatively contribute to the overall change in inventory position between the before and after states.
Example use cases
Explaining a quarterly inventory position shift
“Our inventory position jumped last quarter. Before: 500 units on hand, 120 on order, 40 backorders. After: 620 on hand, 150 on order, 25 backorders. Do a waterfall attribution so I can see how much each input — on-hand, on-order, and backorders — drove that overall change.”
Attributing inventory delta after a supply disruption
“After the supplier disruption, on-hand went from 200 to 180, on-order went from 80 to 50, and backorders went from 5 to 30. Can you do a sequential attribution breakdown to show which of those changes had the biggest impact on our inventory position?”
Scenario analysis for inventory planning
“I'm modeling a scenario where on-hand stays at 300, on-order increases from 60 to 90, and backorders drop from 20 to 10. Run the waterfall attribution on those before-and-after figures so I can see the contribution of each input to the overall position change.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-retail-inventory-position-waterfall?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to understand the relative contribution of individual inventory drivers (on-hand, on-order, backorders) to a total position change — especially for reporting, root-cause analysis, or scenario planning. It is purely a local calculation using supplied figures, so it does not require live inventory system access.
Side effects
- Missing required fields in before or after objects returns a validation error
- Values outside the allowed range (0 to 1,000,000,000,000) are rejected
- Non-numeric values for quantity fields cause input schema errors
- Payment failure or insufficient USDC balance prevents execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| after | object | |
| before | object |
Tags
x402
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