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Unit Return Rate One-Input Sensitivity Table
x402
Unit Return Rate One-Input Sensitivity Table is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Computes a one-input sensitivity table for unit return rate by varying either returned_units or sold_units across a user-supplied range against a baseline scenario.
Price / call$0.01
Success—
StatusUnknown
How this service works
Unit return rate - One-input sensitivity table: One-input sensitivity table 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 one-input sensitivity table deliverable.
Output
A tabulated set of unit return rate values corresponding to each input scenario value supplied. Each row shows the varied input (returned_units or sold_units) alongside the computed return rate, enabling side-by-side scenario comparison against the baseline.
Example use cases
E-commerce return spike planning
“I want to see how my unit return rate would change if returned units went from 5 to 10 in steps of 1, with a baseline of 200 sold units and 5 returned units — can you run that sensitivity table for me?”
Retail volume drop impact analysis
“My baseline is 50 returned units and 1000 sold units. Show me a sensitivity table varying sold_units across [800, 900, 1000, 1100, 1200] so I can see how my return rate shifts.”
Holiday season return rate modeling
“For a product with 8 returned units and 150 sold units as a baseline, run a one-input sensitivity table varying returned_units from 5 to 15 in steps of 2 so I can plan for different return scenarios.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-retail-unit-return-sensitivity?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a fast, local, bounded what-if analysis of unit return rate for retail scenarios without needing live inventory data, platform integration, or order execution. Ideal for quick scenario planning, report generation, or agent-driven retail analytics where the user supplies their own figures.
Side effects
- sold_units set to zero causes division-by-zero error
- values array is empty or exceeds 50 items limit
- input values outside allowed range (-1e12 to 1e12) rejected
- missing required baseline fields returns validation error
- non-numeric values in values array cause schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| field | string | |
| values | array | |
| baseline | object |
Tags
x402
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