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Economic Order Quantity Base-100 Rebase Report
x402
Economic Order Quantity 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 2026-10-18).
Computes a base-100 rebased index of Economic Order Quantity (EOQ) values across a series of retail scenarios for comparative analysis
Price / call$0.01
Success—
StatusUnknown
How this service works
Economic order quantity - Base-100 rebase report: Base-100 rebase report for Economic order quantity. 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
Returns a base-100 rebased report showing normalized EOQ values for each input row, where the designated base_index row is set to 100 and all other rows are expressed as a proportion relative to it, enabling direct comparison of economic order quantities across retail scenarios. No live inventory, pricing, or account data is accessed — all calculations are performed locally on the supplied figures.
Example use cases
Multi-SKU EOQ benchmarking for retail buyer
“I have five products with different demand and cost profiles and I want to normalize their economic order quantities to a base-100 index using our top-selling SKU as the reference — can you run that EOQ rebase report? The reference SKU has annual demand 5000, order cost $50, holding cost $4/unit, and the others range from demand 2000 to 8000 with varying costs.”
Cost sensitivity scenario analysis
“I want to see how my EOQ changes if holding costs rise from $2 to $3 to $4 per unit while demand stays at 1000 units and order cost stays at $20 — can you rebase all those scenarios to a base-100 index anchored to the $2 holding cost case so I can see the relative impact?”
Supplier negotiation order cost comparison
“We're evaluating two suppliers with different order costs: $15, $20, and $25, all with annual demand of 2500 and holding cost $3/unit — run a base-100 EOQ rebase report using the $15 order cost scenario as the baseline so I can quantify the relative difference in optimal order quantities.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-retail-economic-order-index?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to compare multiple Economic Order Quantity scenarios on a normalized, base-100 scale — for example, when benchmarking SKUs, analyzing cost sensitivity, or presenting relative order quantity changes to stakeholders. It is purely computational (no live data, no external integrations) and well-suited for local what-if analysis using supplied retail figures. Prefer it over raw EOQ calculators when relative comparison across scenarios matters more than absolute values.
Side effects
- Fewer than 2 rows supplied — minimum row count not met
- annual_holding_cost_per_unit set to 0 — division by zero in EOQ formula (exclusiveMinimum enforced)
- base_index references a row position that doesn't exist in the submitted array
- More than 200 rows submitted — exceeds maxItems limit
- Negative values for demand, order cost, or holding cost — schema validation failure
- Payment not completed via x402 protocol — request rejected before computation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| base_index | integer |
Tags
x402
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