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Unit Return Rate Batch Calculator
x402
Unit Return Rate Batch Calculator is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Calculates unit return rate (returned_units / sold_units) for up to 200 rows of supplied retail data in a single batch call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Unit return rate - Batch calculation: Batch calculation 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 batch calculation deliverable.
Output
Returns a batch of computed unit return rate values (returned_units / sold_units) for each supplied row, along with identification of any invalid or out-of-bounds records among the up to 200 input rows.
Example use cases
Multi-SKU return rate audit
“I have 50 products and I want to know the return rate for each one. Here are the sold and returned unit counts per SKU — run batch return rate calculations across all of them for me.”
Seasonal return rate comparison
“Can you compute the unit return rates for my Q4 holiday sales data? I have 30 rows, each with units sold and units returned, and I want to see the return rate for every row at once.”
Retail scenario planning
“I'm modeling different scenarios for a new product line. Calculate the unit return rates for these 10 hypothetical combinations of sold and returned units so I can compare them side by side.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-retail-unit-return-batch?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to compute unit return rates for multiple retail records in a single call (up to 200 rows) using your own supplied figures. It is ideal for local scenario analysis, catalog audits, or financial modeling where no live inventory system, platform fee lookup, or order data is needed. Prefer this over single-record calculations when you have a list of products or time periods to evaluate at once.
Side effects
- Empty rows array or missing required fields (sold_units or returned_units) returns a validation error
- sold_units of 0 or negative triggers exclusiveMinimum validation failure
- Batch exceeds 200 rows returns a maxItems error
- Non-numeric values for sold_units or returned_units cause schema validation failures
- returned_units exceeding maximum bound may be flagged as invalid
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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