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Observed Unit Sales Velocity – One-Input Sensitivity Table
x402
Observed Unit Sales Velocity – 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 2026-10-16).
Computes a one-input sensitivity table for observed unit sales velocity given varying values of sold_units or observed_days against a retail baseline.
Price / call$0.01
Success—
StatusUnknown
How this service works
Observed unit sales velocity - One-input sensitivity table: One-input sensitivity table 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 one-input sensitivity table report.
Output
Returns a structured sensitivity table with one row per supplied value, showing the computed unit sales velocity (units per day) for each scenario alongside the fixed baseline inputs. Output is bounded to the supplied retail figures with up to 200 records and up to 50 scenario values per call.
Example use cases
Retail reorder planning scenario
“I need a sensitivity table for unit sales velocity — my baseline is 84 units sold over 7 days. Vary sold_units across 60, 72, 84, 96, and 108 so I can see which scenarios trigger a reorder.”
Seasonal observation window analysis
“Can you run a one-input sensitivity table on my sales velocity where the baseline is 84 units sold in 7 days, but this time vary the observed_days field across 5, 7, 10, and 14 days to see how the measurement window affects velocity?”
Sales target stress testing
“My retail store sold 84 units over a 7-day baseline. Run a sensitivity table varying sold_units from 50 to 120 in steps of 10 so I can stress-test which sales targets are realistic for my velocity goals.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-retail-unit-sales-velocity-sensitivity?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, affordable one-input sensitivity table specifically for retail unit sales velocity — particularly when you have a fixed baseline and want to see how a single variable (units sold or observation window length) affects the computed velocity across a range of scenarios. It is not suitable for two-input sensitivity, live POS data, order execution, or forecasting beyond the supplied figures.
Side effects
- Missing required baseline fields (sold_units or observed_days) returns a validation error
- observed_days of 0 or negative triggers exclusiveMinimum validation failure
- Values array exceeding 50 items returns a schema validation error
- Non-numeric entries in the values array cause a type error
- Payment of 0.01 USDC not provided or rejected blocks execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| field | string | |
| values | array | |
| baseline | object |
Tags
x402
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