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Unit Return Rate Threshold Classification
x402
Unit Return Rate Threshold Classification is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-27).
Classifies unit return rate figures against configurable lower and upper thresholds for retail scenario analysis.
Price / call$0.01
Success—
StatusUnknown
How this service works
Unit return rate - Threshold classification: Threshold classification 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 threshold classification deliverable.
Output
Returns a bounded threshold classification result indicating whether each row's unit return rate falls below the lower threshold, within the acceptable band, or above the upper threshold, enabling retail scenario analysis without live inventory or platform access.
Example use cases
Flagging high-return product lines
“I want to know which of my product lines have return rates above 12% — I sold 800 units with 120 returned for line A, and 450 units with 72 returned for line B. Use a lower threshold of 5 and upper of 12.”
Retail KPI reporting for operations
“For our monthly ops review, classify these four store segments' return rates against our acceptable band of 2% to 8%: segment 1 sold 1000 units with 50 returned, segment 2 sold 900 with 90 returned, segment 3 sold 1100 with 22 returned, segment 4 sold 750 with 65 returned.”
Scenario analysis for return policy change
“I'm modeling what happens if our return threshold tightens from 10% to 6% — can you classify these return figures under the new limits? We had 200 units sold with 18 returned and 350 sold with 28 returned.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-retail-unit-return-threshold?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, local threshold classification of unit return rates using supplied retail figures only — especially for scenario modeling, policy analysis, or KPI reporting — and do not need live inventory data, order execution, or real-time platform integration.
Side effects
- Fewer than 2 rows provided — minItems validation error
- sold_units is zero or missing — exclusiveMinimum violation
- returned_units exceeds sold_units — logically inconsistent but may not be rejected by schema
- More than 200 rows submitted — maxItems exceeded
- Lower threshold greater than upper threshold — may produce unexpected classifications
- Non-numeric values for sold_units or returned_units — schema type validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| lower | number | |
| upper | number |
Tags
x402
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