# Revenue per Visitor Rolling Mean Report

> 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 2026-10-15).

Calculates a rolling mean of revenue-per-visitor (RPV) ratios over a configurable window of retail data rows

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-retail-revenue-visitor-rolling?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/revenue-per-visitor-rolling-mean-report-7772fe45
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_rJmitKeoLoRwELEFSH8C2

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability revenue-per-visitor-rolling-mean-report-7772fe45 -d '<json body>'
```

Example prompt: Can you calculate a rolling mean of revenue per visitor for my retail data using a window of 3? My rows are: 3000 revenue / 1000 visitors, 3300 revenue / 1100 visitors, 2800 revenue / 950 visitors, 3500 revenue / 1200 visitors.

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "revenue",
     "visitors"
    ],
    "properties": {
     "revenue": {
      "type": "number",
      "default": 3000,
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "visitors": {
      "type": "number",
      "default": 1000,
      "maximum": 1000000000000,
      "minimum": 0,
      "exclusiveMinimum": 0
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "revenue": 3000,
     "visitors": 1000
    },
    {
     "revenue": 3300.0000000000005,
     "visitors": 1100
    },
    {
     "revenue": 3000,
     "visitors": 1000
    },
    {
     "revenue": 3300.0000000000005,
     "visitors": 1100
    }
   ],
   "maxItems": 200,
   "minItems": 2
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/revenue-per-visitor-rolling-mean-report-7772fe45/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)