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Economic Order Quantity (EOQ) Distribution Summary
x402
Economic Order Quantity (EOQ) Distribution Summary 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 distribution summary across multiple Economic Order Quantity (EOQ) scenarios given retail demand, order cost, and holding cost inputs.
Price / call$0.01
Success—
StatusUnknown
How this service works
Economic order quantity - Distribution summary: Distribution summary 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 distribution summary deliverable.
Output
A bounded distribution summary of Economic Order Quantity results computed locally from the supplied rows of retail figures. Each row's optimal order quantity is derived from the EOQ formula, and the summary provides distributional statistics across all input scenarios — useful for inventory planning and cost analysis. No live inventory data, platform fees, or order execution is involved.
Example use cases
Multi-SKU EOQ scenario comparison
“I have four products with different demand and cost profiles. Run an EOQ distribution summary for them: SKU A has annual demand 500, order cost $15, holding cost $1.50; SKU B has annual demand 2000, order cost $30, holding cost $3; SKU C has annual demand 800, order cost $18, holding cost $2; SKU D has annual demand 1500, order cost $25, holding cost $2.50.”
Retail reorder planning analysis
“Help me figure out the optimal order quantity distribution for our seasonal retail line — annual demand is 1200 units, order cost per order is $22, and holding cost is $2.40 per unit per year. Also add a second row with demand 900, order cost $18, holding cost $1.80 so I can compare.”
Inventory cost sensitivity check
“Can you give me an EOQ distribution summary to see how sensitive our order quantity is to holding cost changes? Run it for three scenarios: all with annual demand 1000 and order cost $20, but holding costs of $1.50, $2.00, and $3.00 per unit respectively.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-retail-economic-order-summary?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, local EOQ distribution summary across multiple retail scenarios without requiring live inventory system access, account credentials, or order execution. It is best suited for scenario analysis, batch EOQ calculations across 2–200 product rows, and distribution-level insights rather than single-product lookups. Prefer alternatives if you need real-time inventory data integration, platform fee calculations, or order fulfillment.
Side effects
- Missing required fields (annual_demand, order_cost, or annual_holding_cost_per_unit) returns a validation error
- annual_holding_cost_per_unit must be greater than 0 (exclusive minimum); a value of 0 will be rejected
- Fewer than 2 rows or more than 200 rows in the input array will be rejected
- Non-numeric values in numeric fields cause schema validation failure
- Extremely large values (approaching 1e12) may produce edge-case numerical results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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