Gross Margin Return on Inventory – 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 2026-10-24).
Computes a sequential (waterfall) attribution of how changes in gross profit and average inventory cost each contributed to a shift in Gross Margin Return on Inventory (GMROI) between two periods.
Gross margin return on inventory - Sequential input-change attribution: Sequential input-change attribution for Gross margin return on inventory. 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.
Returns a sequential (waterfall) attribution showing the before and after GMROI values, and how much of the total GMROI change is attributable to each input variable (gross profit change first, then average inventory cost change), allowing retail analysts to pinpoint the dominant driver of margin return shifts.
POSThttps://market.datapackvibe.com/x402/assistant-sector-retail-inventory-margin-return-waterfall?utm_source=zero.xyzChoose this endpoint when you need to understand not just that GMROI changed, but exactly how much each input (gross profit vs. average inventory cost) independently drove that change via a sequential waterfall approach. It is ideal for retail finance teams doing period-over-period variance analysis, scenario planning, or board-level explanations of margin return shifts — and is fully local/offline in computation, requiring no live inventory system or platform connection.
| Field | Type | Description |
|---|---|---|
| after | object | |
| before | object |
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