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Revenue per Visitor Rolling Mean Report
x402
Revenue per Visitor Rolling Mean 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).
Calculates a rolling mean of revenue-per-visitor (RPV) ratios over a configurable window of retail data rows
Price / call$0.01
Success—
StatusUnknown
How this service works
Revenue per visitor - Rolling mean report: Rolling mean report for Revenue per visitor. 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 rolling mean report deliverable.
Output
A bounded rolling mean report containing smoothed revenue-per-visitor values calculated over the specified window size, derived locally from the supplied rows without any live inventory, account, or platform access.
Example use cases
Smoothing weekly store RPV trend
“I have 8 weeks of retail data and want to smooth out the noise in my revenue-per-visitor figures — can you run a rolling mean with a window of 3 on these rows: 5000/2000, 4800/1900, 5200/2100, 4700/1850, 5100/2050, 5300/2200, 4900/1950, 5400/2150?”
Scenario analysis for RPV with different windows
“I want to compare how my revenue-per-visitor trend looks with a rolling window of 2 versus 4. Start with window 2 on my data: 3000/1000, 3300/1100, 2900/980, 3100/1050, 3400/1150.”
Monthly e-commerce RPV smoothing
“Here's my monthly e-commerce data for the past 6 months — revenue and visitor counts — can you calculate the rolling mean revenue per visitor with a window of 2? Data: 12000/4000, 13500/4200, 11800/3900, 14000/4500, 13200/4100, 15000/4800.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-retail-revenue-visitor-rolling?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, local rolling mean calculation on revenue-per-visitor data without connecting to any live retail platform, inventory system, or account. It is ideal for scenario analysis, trend smoothing, and offline analytics where you supply your own figures. Prefer alternatives when you need real-time inventory data, live platform fee lookups, or order execution.
Side effects
- Fewer than 2 rows supplied — minimum row count not met
- Window size larger than number of rows — invalid window configuration
- Visitor count of zero or negative — exclusiveMinimum violation
- Revenue or visitor values exceeding bounds (±1 trillion) — schema validation error
- Missing required fields (revenue or visitors) in any row — request rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| window | integer |
Tags
x402
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