# Tourism Observations — Two-Measure Correlation + Explicit Missing-Value Fill

> Tourism Observations — Two-Measure Correlation + Explicit Missing-Value Fill 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 Pearson/rank correlation between visitor_count and overnight_stays, and fills missing values in a chosen field using zero, mean, or median imputation — for up to 200 tourism observation rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-14-184?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-two-measure-correlation-explicit-missing-value-5183f8cb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_m36Au3nbWZ4i-pHOrDPkS

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-explicit-missing-value-5183f8cb -d '<json body>'
```

Example prompt: I have 150 rows of tourism data with visitor_count and overnight_stays fields — some overnight_stays values are null. Can you fill the missing overnight_stays using median imputation and also compute the correlation between visitor_count and overnight_stays across all rows?

## When to prefer this

Choose this endpoint when you have a small-to-medium tourism dataset (up to 200 rows) with visitor_count and overnight_stays fields and need both a correlation analysis and missing-value imputation in a single API call. Ideal for lightweight, offline analytical pipelines that don't require real-time lookups, forecasting, or external data enrichment. Prefer this over general statistics APIs when you specifically work with tourism observation records and want bundled reports at low cost ($0.01 per call covers both reports).

## Known failure modes

- Fewer than 1 row supplied — validation error
- More than 200 rows submitted — rejected with maxItems error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Unknown imputation method enum value — rejected
- Insufficient non-null values for mean/median computation — may return degenerate or error result
- Both measures entirely null — correlation computation undefined

## How this service works

Tourism observations — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill 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

Two independent analytical reports: (1) a correlation report showing the statistical relationship (e.g. Pearson r) between visitor_count and overnight_stays across the supplied rows; (2) a missing-value fill report showing which rows had nulls in the chosen field and what values were substituted using the selected method (zero, mean, or median). No external data is fetched; all computation is performed locally on the supplied rows.

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tourism-observations-two-measure-correlation-explicit-missing-value-5183f8cb/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)