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Observed Unit Sales Velocity – Base-100 Rebase Report
x402
Observed Unit Sales Velocity – 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 2026-10-18).
Rebases a series of observed unit sales velocity figures to a base-100 index anchored to a chosen reference row, returning up to 200 normalised records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Observed unit sales velocity - Base-100 rebase report: Base-100 rebase report for Observed unit sales velocity. Supplied retail figures only, up to 200 records. No platform access, live rates or order execution. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded base-100 rebase report report.
Output
Returns a bounded base-100 rebase report containing up to 200 records, each representing the original row's unit sales velocity expressed as an index relative to the chosen base-index row (which is set to 100). The output enables direct period-over-period or item-over-item comparison of retail unit sales velocity on a normalised scale.
Example use cases
Weekly store sell-through comparison
“I've got 8 weeks of in-store sales: 210 units/7 days, 195 units/7 days, 230 units/7 days, 245 units/6.5 days, 200 units/7 days, 180 units/7 days, 260 units/7 days, 240 units/7 days — rebase them all to base-100 using week 1 as the reference so I can see how each week compares to the opening week.”
Post-promotion velocity normalisation
“Here are 5 observed sales periods around a promotional event — 500 units over 10 days, 620 over 10 days, 980 over 10 days, 710 over 10 days, 540 over 10 days — please give me a base-100 rebase report anchored to the third row (the peak promo period) so I can see how pre- and post-promo velocity compare.”
Multi-SKU velocity benchmarking
“I want to benchmark unit sales velocity across 6 SKUs relative to our hero product: 120 units/7 days, 85 units/7 days, 200 units/7 days, 60 units/7 days, 145 units/7 days, 170 units/7 days — rebase everything to the third row (our hero SKU) on a base-100 scale.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-retail-unit-sales-velocity-index?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a series of raw retail unit sales observations (sold units + observation days) and need to express them on a normalised base-100 scale relative to a specific reference period or SKU. It is ideal for period-over-period velocity comparisons, post-promotion analysis, and cross-store or cross-SKU benchmarking where absolute unit counts are less useful than relative indexed performance. Prefer it over raw velocity calculations when stakeholders need an easy-to-read indexed format rather than units-per-day figures.
Side effects
- Fewer than 2 rows supplied — minimum of 2 row objects required
- base_index out of range — must be an integer between 0 and one less than the number of rows supplied
- sold_units or observed_days values are negative or non-numeric — schema validation error
- observed_days is zero or negative — exclusiveMinimum constraint violation
- Array exceeds 200 items — maxItems constraint rejection
- Payment failure or insufficient USDC balance — 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| base_index | integer |
Tags
x402
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