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Days Inventory Outstanding – Adjacent Period Changes
x402
Days Inventory Outstanding – Adjacent Period Changes 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).
Calculates adjacent-period differences and percent changes for Days Inventory Outstanding (DIO) across a sequence of supplied financial observations.
Price / call$0.01
Success—
StatusUnknown
How this service works
Days inventory outstanding - Adjacent period changes: Report adjacent-observation differences and eligible percent changes; no interpolation. 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 adjacent period changes report.
Output
Returns a JSON object containing the DIO value for each supplied observation, the adjacent-period absolute differences and eligible percent changes between consecutive rows, along with the formula used, units, and limitations of the calculation. No interpolation is performed — only supplied figures are used.
Example use cases
Quarterly DIO trend for retail company
“I have four quarters of data for our retail business and want to see how Days Inventory Outstanding shifted quarter to quarter. Q1: avg inventory $2M, COGS $12M, 90 days. Q2: avg inventory $2.3M, COGS $13M, 91 days. Q3: avg inventory $1.8M, COGS $11.5M, 92 days. Q4: avg inventory $2.1M, COGS $14M, 90 days. Can you report the adjacent-period DIO differences and percent changes?”
Annual inventory efficiency comparison
“Compare Days Inventory Outstanding for two fiscal years: Year 1 had average inventory of $8M, cost of sales of $60M, and 365 days. Year 2 had average inventory of $9.5M, cost of sales of $65M, and 365 days. Give me the period-to-period difference and percent change with the formula used.”
Supply chain disruption impact analysis
“Our supply chain was disrupted mid-year. Can you analyze the change in Days Inventory Outstanding before and after? Pre-disruption: avg inventory $500K, COGS $3M, 180 days. Post-disruption: avg inventory $750K, COGS $2.8M, 180 days. Show me the adjacent period difference and percent change.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-finance-inventory-days-period-changes?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to track how Days Inventory Outstanding changes between consecutive reporting periods without any interpolation — ideal for period-over-period financial reporting, inventory efficiency audits, or identifying trends across quarterly or annual data. Prefer this over a simple batch DIO calculator when the adjacent differences and percent changes are specifically needed, not just the raw DIO values.
Side effects
- Missing required fields (average_inventory, cost_of_sales, or period_days) returns a validation error
- Fewer than 2 rows supplied returns an error since adjacent comparison requires at least two observations
- cost_of_sales of zero is rejected due to exclusiveMinimum constraint
- Values exceeding maximum limits (1 trillion) return a bounds error
- More than 200 rows supplied exceeds maxItems and returns an error
- Payment of 0.01 USDC not received results in 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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