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Unit Return Rate Base-100 Rebase Report
x402
Unit Return Rate 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 2026-10-23).
Calculates a base-100 rebased index of unit return rates across retail data rows, enabling trend normalization and scenario analysis.
Price / call$0.01
Success—
StatusUnknown
How this service works
Unit return rate - Base-100 rebase report: Base-100 rebase report for Unit return rate. 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
A base-100 rebased report for unit return rates across the supplied retail data rows. Each row's return rate is normalized relative to the designated base index row, expressed as an index value where the base period equals 100. Useful for trend comparison and scenario analysis without live inventory or platform data.
Example use cases
Seasonal return rate trend normalization
“I have quarterly retail data — Q1: 200 sold, 10 returned; Q2: 220 sold, 14 returned; Q3: 180 sold, 9 returned; Q4: 250 sold, 20 returned. Can you rebase the unit return rates to a base-100 index starting from Q1 so I can compare how return rates have shifted across quarters?”
Product line return rate benchmarking
“I'm comparing return rates for two product lines across four periods. Rows: 500 sold/25 returned, 480 sold/30 returned, 510 sold/22 returned, 495 sold/28 returned. Please rebase to a base-100 index using the third row as the baseline so I can see performance relative to that period.”
Scenario analysis for return rate forecasting
“I want to model how our return rate index would look if I adjust my figures slightly. Rows are: 1000 sold/50 returned, 1050 sold/60 returned, 980 sold/45 returned. Can you run a base-100 rebase report starting from period 1 so I can see the trend?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-retail-unit-return-index?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to normalize unit return rate figures to a base-100 index for trend comparison or scenario modeling using your own retail data. It is a local computation service — ideal when you have raw sold/returned unit counts and want a rebased index without needing live inventory access, real-time platform data, or order execution. Prefer it over general analytics tools when you specifically need a base-100 rebase of return rate data in the retail context.
Side effects
- Fewer than 2 rows supplied — minimum 2 rows required
- sold_units is 0 or missing — exclusiveMinimum constraint violated
- returned_units exceeds sold_units — logically invalid but may not be rejected
- base_index out of range — must be between 0 and 199 and within the supplied row count
- More than 200 rows supplied — maxItems constraint violated
- Non-numeric values in sold_units or returned_units fields
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| base_index | integer |
Tags
x402
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