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Buy-X-Get-Y-Free Merchandise Total – Base-100 Rebase Report
x402
Buy-X-Get-Y-Free Merchandise Total – 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 2026-10-19).
Computes a Base-100 rebased price index for buy-X-get-Y-free retail promotion scenarios across up to 200 merchandise rows, normalizing all values relative to a chosen baseline record.
Price / call$0.01
Success—
StatusUnknown
How this service works
Buy-X-get-Y-free merchandise total - Base-100 rebase report: Base-100 rebase report for Buy-X-get-Y-free merchandise total. 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
A bounded Base-100 rebase report showing the effective merchandise total for each input row normalized relative to the chosen base index row. Each row's buy-X-get-Y-free effective cost is expressed as an index value where the base row equals 100, enabling direct relative comparison across up to 200 promotion scenarios.
Example use cases
Multibuy Promotion Price Benchmarking
“I've got 8 rows of buy-3-get-1-free deals with different unit prices between $10 and $50 and basket sizes from 4 to 20 units — rebase all the effective merchandise totals to Base-100 using row 0 as the reference so I can see which deals are cheapest relative to the baseline.”
Retail Catalog Promotion Comparison
“Compare these 12 multibuy offers for my retail catalog — they're a mix of buy-2-get-1 and buy-4-get-2 structures with unit prices around $25–$80 and baskets of 6 to 24 units. Give me a Base-100 rebase report anchored to the third row so I can see relative cost differences.”
Promotional Scenario Planning
“I'm planning a buy-2-get-1-free sale and have 6 pricing scenarios with unit prices from $15 to $45 and varying basket sizes between 3 and 12 units — can you rebase them all to Base-100 using the cheapest scenario as the index base (row 2) so I can present relative savings to management?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-retail-multibuy-price-index?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to normalize and compare effective merchandise costs across multiple buy-X-get-Y-free retail promotion configurations using a standard Base-100 index. It is ideal for retail analysts and merchandising agents that need relative price benchmarking across multibuy scenarios without access to live rates or platform order systems. Prefer this over raw effective-price calculators when your goal is indexed comparison rather than absolute cost output.
Side effects
- Fewer than 2 rows supplied — minItems constraint violated
- base_index references a row index that exceeds the number of supplied rows
- paid_units_per_group set to 0 — violates minimum:1 constraint
- unit_price or basket_units exceed their maximum bounds
- All rows have identical effective costs resulting in a trivially flat index
- Malformed row objects with missing required fields (basket_units, paid_units_per_group, free_units_per_group, unit_price)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| base_index | integer |
Tags
x402
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