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Days Inventory Outstanding – Named Scenario Comparison
x402
Days Inventory Outstanding – Named Scenario Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Applies up to 20 named override scenarios to a baseline Days Inventory Outstanding (DIO) calculation and returns a structured comparison report with formula, units, and limitations.
Price / call$0.01
Success—
StatusUnknown
How this service works
Days inventory outstanding - Named scenario comparison: Apply up to 20 explicit input-override scenarios to one baseline and report their differences. Metric: Days inventory outstanding. Supplied figures only; returns JSON with formula, units and limitations. One of 50 calculators with 20 analysis modes. No live feed, financial advice or trade execution. 0.01 USDC includes one bounded named scenario comparison report.
Output
A JSON report containing the calculated Days Inventory Outstanding (DIO) for the baseline and each named scenario, along with delta/difference values, the DIO formula used, measurement units, and stated limitations of the calculation. No live market data or financial advice is included.
Example use cases
Retailer peak season inventory planning
“I want to compare days inventory outstanding for our retail operation under three scenarios: our baseline is 365 days, $500,000 cost of sales, $80,000 average inventory. Scenario 1 is 'Pre-Holiday Buildup' with average inventory at $120,000; Scenario 2 is 'Post-Holiday Clearance' with average inventory at $40,000; Scenario 3 is 'Strong Sales Quarter' with cost of sales at $700,000. Show me the DIO differences.”
Supply chain disruption impact assessment
“Can you run a days inventory outstanding comparison for our manufacturing baseline of 90 days, $2,000,000 cost of sales, and $500,000 average inventory? I need four named scenarios: 'Supplier Delay' with average inventory at $750,000, 'Demand Surge' with cost of sales at $3,000,000, 'Safety Stock Build' with average inventory at $900,000, and 'Normal Operations' keeping the baseline — so I can see which scenario inflates DIO the most.”
Working capital optimization analysis
“Help me analyze days inventory outstanding sensitivity for our finance review. Baseline: 365 days, $10,000,000 cost of sales, $1,200,000 average inventory. Run two scenarios — 'Lean Inventory Target' with average inventory reduced to $800,000 and 'Extended Credit Terms' with cost of sales at $9,000,000 — and report the difference in DIO for each.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-finance-inventory-days-scenario?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to evaluate multiple named what-if scenarios for Days Inventory Outstanding side-by-side against a single baseline, particularly when you want labeled, structured comparison output (not just a single DIO value). It is ideal for sensitivity analysis, scenario planning presentations, and supply chain reviews where you need to communicate differences clearly. Prefer it over a single-calculation endpoint when you have 2–20 distinct named hypotheses to test simultaneously.
Side effects
- Missing required baseline fields (average_inventory, cost_of_sales, period_days) returns validation error
- cost_of_sales set to zero or omitted triggers exclusiveMinimum validation failure
- Scenario overrides object with no properties fails minProperties:1 constraint
- More than 20 scenarios in the array exceeds maxItems limit
- period_days outside 1–3660 range rejected by schema
- average_inventory or cost_of_sales exceeding 1,000,000,000,000 rejected
- Payment of 0.01 USDC not settled causes request rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| baseline | object | |
| scenarios | array |
Tags
x402
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