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Inventory Position Base-100 Rebase Report
x402
Inventory Position Base-100 Rebase Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Computes a base-100 indexed rebase report for inventory position data (on-hand, on-order, backorders) across multiple time periods or SKUs, enabling local scenario analysis and trend normalization.
Price / call$0.01
Success—
StatusUnknown
How this service works
Inventory position - Base-100 rebase report: Base-100 rebase report 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 base-100 rebase report deliverable.
Output
A base-100 rebase report for the supplied inventory position rows, showing normalized index values for on-hand, on-order, and backorder quantities relative to the designated base index row. Enables comparison of inventory levels across periods or locations on a common scale.
Example use cases
Seasonal inventory trend normalization
“I have 6 months of retail inventory data and want to normalize it to base-100 starting from January — on-hand values are 200, 210, 195, 220, 230, 215 and on-order are 50, 55, 48, 60, 62, 58 and backorders are 15, 18, 12, 20, 22, 17. Can you rebase this with month 0 as the baseline?”
Warehouse stock level comparison
“Rebase these 3 warehouse snapshots to a base-100 index using the first row: warehouse A has on-hand 500, on-order 100, backorders 25; warehouse B has on-hand 450, on-order 90, backorders 30; warehouse C has on-hand 600, on-order 120, backorders 20.”
Inventory scenario analysis for planning
“I want to run a what-if scenario on my inventory position — I have 5 rows of projected on-hand, on-order, and backorder figures and want to see them rebased to row 2 as the base-100 reference point. Values are: row0 on_hand 300 on_order 80 backorders 20, row1 on_hand 320 on_order 85 backorders 18, row2 on_hand 310 on_order 82 backorders 22, row3 on_hand 340 on_order 90 backorders 15, row4 on_hand 330 on_order 88 backorders 19.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-retail-inventory-position-index?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, local base-100 normalization calculation on retail inventory position figures (on-hand, on-order, backorders) without requiring live inventory system access, account credentials, or real-time data feeds. It is ideal for offline scenario planning, period-over-period comparison, and trend indexing at very low cost ($0.01 per call).
Side effects
- Fewer than 2 rows supplied — minimum row count not met
- base_index references a row index outside the provided rows array length
- Negative or non-numeric values submitted for quantity fields
- Rows exceed 200-item maximum limit
- All values in the base row are zero — division by zero in normalization
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| base_index | integer |
Tags
x402
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