# Tourism Observations — Two-Measure Correlation + Date-by-Category Pivot

> Tourism Observations — Two-Measure Correlation + Date-by-Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).

Computes a two-measure Pearson/rank correlation and a date-by-category pivot table for up to 200 rows of tourism observation data (visitor_count, overnight_stays).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-14-182?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-28
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/tourism-observations-two-measure-correlation-date-by-category-pivot-eec67396
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_butLAtN2v4tRW1uJXniaa

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-two-measure-correlation-date-by-category-pivot-eec67396 -d '<json body>'
```

Example prompt: Run a two-measure correlation between visitor_count and overnight_stays, plus a date-by-region pivot, on my tourism dataset — I have 4 rows: row-1 on 2026-10-01 region group-a with 10 visitors and 1 overnight stay, row-2 on 2026-10-02 region group-b with 20 visitors and 2 stays, row-3 on 2026-10-03 region group-a with 15 visitors and 3 stays, and row-4 on 2026-10-04 region group-b with 30 visitors and 4 stays.

## When to prefer this

Choose this endpoint when you have structured tourism observation records with visitor_count and overnight_stays columns and need both a cross-measure correlation and a date-by-category pivot in a single low-cost call. It is ideal for offline/batch analytical needs on datasets up to 200 rows where no live data lookup, prediction, or external enrichment is required. Prefer it over general-purpose analytics tools when you want a cheap, deterministic, self-contained computation on data you already hold.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds maxItems limit
- Missing required fields (row_id, region, date, visitor_count, overnight_stays) on any row — validation error
- Date strings not matching YYYY-MM-DD pattern — schema validation failure
- All values for one measure are null — correlation cannot be computed
- Invalid field enum value (not visitor_count or overnight_stays) — schema rejection

## How this service works

Tourism observations — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot 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 statistical reports: (1) a Pearson or rank correlation coefficient between visitor_count and overnight_stays across all supplied rows, and (2) a pivot table cross-tabulating the specified field (visitor_count or overnight_stays) by date and region/category — all computed locally on the supplied data with no external lookups.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tourism-observations-two-measure-correlation-date-by-category-pivot-eec67396/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)