# Tourism Observations — Trailing Mean Series + Secondary-Measure Weighted Mean

> Tourism Observations — Trailing Mean Series + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).

Computes a trailing mean series and a secondary-measure weighted mean for up to 200 tourism observation records (visitor_count, overnight_stays) using local analytical engines.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-14-151?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/tourism-observations-trailing-mean-series-secondary-measure-weighted-20555509
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_QqV9v5XtPE8IDFeDRSpgN

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 tourism-observations-trailing-mean-series-secondary-measure-weighted-20555509 -d '<json body>'
```

Example prompt: Run a trailing mean series and secondary-measure weighted mean on my tourism data — I have 4 rows with visitor_count and overnight_stays for regions group-a and group-b dated 2026-10-01 through 2026-10-04, using visitor_count as the primary field and a window of 2.

## When to prefer this

Choose this endpoint when you need both a trailing mean (rolling average) series and a secondary-measure weighted mean computed together on tourism-specific tabular data (visitor_count, overnight_stays) in a single low-cost call. It is ideal for offline or batch analytical workflows where no live data lookup, prediction, or external enrichment is needed and you want deterministic statistical outputs on up to 200 rows for $0.01 USDC.

## Known failure modes

- Fewer than 1 row supplied — validation error
- Window size larger than number of rows — may produce partial or null results for early rows
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- More than 200 rows submitted — request rejected
- Missing required fields (row_id, region, date) — validation error
- Null values in the primary numeric field — may result in gaps or nulls in trailing mean output

## How this service works

Tourism observations — Trailing mean series + Secondary-measure weighted mean: Trailing mean series + Secondary-measure weighted mean for supplied tourism observations records (visitor_count, overnight_stays). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Returns two analytical reports: (1) a trailing mean series for the selected field (visitor_count or overnight_stays) computed over the specified rolling window across the supplied rows, and (2) a secondary-measure weighted mean using the other numeric measure as weights. Results cover up to 200 input rows processed locally without any external data lookup.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "region",
     "date",
     "visitor_count",
     "overnight_stays"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "region": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "visitor_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "overnight_stays": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "region": "group-a",
     "row_id": "row-1",
     "visitor_count": 10,
     "overnight_stays": 1
    },
    {
     "date": "2026-10-02",
     "region": "group-b",
     "row_id": "row-2",
     "visitor_count": 20,
     "overnight_stays": 2
    },
    {
     "date": "2026-10-03",
     "region": "group-a",
     "row_id": "row-3",
     "visitor_count": 15,
     "overnight_stays": 3
    },
    {
     "date": "2026-10-04",
     "region": "group-b",
     "row_id": "row-4",
     "visitor_count": 30,
     "overnight_stays": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "visitor_count",
    "overnight_stays"
   ],
   "type": "string",
   "default": "visitor_count"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tourism-observations-trailing-mean-series-secondary-measure-weighted-20555509/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)