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Days Inventory Outstanding Base-100 Rebase Report
x402
Days Inventory Outstanding 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).
Rebases calculated Days Inventory Outstanding (DIO) values against a chosen base observation, returning a Base-100 index series with formula, units, and limitations.
Price / call$0.01
Success—
StatusUnknown
How this service works
Days inventory outstanding - Base-100 rebase report: Rebase ordered calculated values against a supplied positive base observation. 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 base-100 rebase report report.
Output
A JSON response containing the Base-100 rebased Days Inventory Outstanding index values for each supplied row, along with the DIO formula, measurement units, and limitations of the calculation. The base row is set to 100 and all other rows are expressed relative to it.
Example use cases
Quarterly DIO trend indexed to Q1
“I have four quarters of data. Q1: 365 days, cost of sales $500,000, average inventory $80,000. Q2: 91 days, cost of sales $130,000, average inventory $85,000. Q3: 91 days, cost of sales $140,000, average inventory $90,000. Q4: 92 days, cost of sales $145,000, average inventory $88,000. Rebase the Days Inventory Outstanding to Base-100 using Q1 as the reference point so I can see relative changes.”
Multi-year inventory efficiency benchmarking
“I want to compare inventory efficiency across 3 years. Year 1: 365 days, cost of sales $1,200,000, average inventory $200,000. Year 2: 365 days, cost of sales $1,350,000, average inventory $230,000. Year 3: 365 days, cost of sales $1,500,000, average inventory $210,000. Give me a Base-100 DIO index rebased to Year 1 with the formula and any limitations noted.”
Supplier change impact on inventory days
“We changed suppliers mid-year. I have two half-year periods: Period 1 (pre-change): 182 days, cost of sales $600,000, average inventory $95,000. Period 2 (post-change): 183 days, cost of sales $620,000, average inventory $75,000. Rebase Days Inventory Outstanding to Base-100 using Period 1 as the base so I can see the percentage impact of the supplier switch.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-finance-inventory-days-index?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to normalize Days Inventory Outstanding across multiple periods into a comparable Base-100 index series, particularly when the absolute DIO values differ in scale and you want to visualize or report relative change from a chosen reference period. It is ideal for trend analysis, period-over-period benchmarking, and presentation-ready indexed metrics rather than raw ratio lookups.
Side effects
- Missing required fields (average_inventory, cost_of_sales, or period_days) returns a validation error
- cost_of_sales value of zero or negative triggers exclusiveMinimum validation failure
- Fewer than 2 rows provided returns a minItems validation error
- base_index referencing a position beyond the number of supplied rows returns an out-of-range error
- More than 200 rows exceeds maxItems limit
- Payment of 0.01 USDC not included triggers x402 payment-required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| base_index | integer |
Tags
x402
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