# Tourism Observations — Record Quality Audit + Numeric Row Ordering

> Tourism Observations — Record Quality Audit + Numeric Row Ordering 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).

Audits tourism observation records for data quality issues and sorts rows numerically for visitor_count or overnight_stays, returning 2 independent analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-14-007?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-record-quality-audit-numeric-row-ordering-fe7efa9c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_bAA4g7rLGf9OBH7EVjtWU

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-record-quality-audit-numeric-row-ordering-fe7efa9c -d '<json body>'
```

Example prompt: Can you audit these tourism observation rows for data quality issues and also sort them by visitor_count? I have 4 rows: row-1 for group-a on 2026-10-01 with visitor_count 10 and overnight_stays 1, row-2 for group-b on 2026-10-02 with visitor_count 20 and overnight_stays 2, row-3 for group-a on 2026-10-03 with visitor_count 15 and overnight_stays 3, and row-4 for group-b on 2026-10-04 with visitor_count 30 and overnight_stays 4.

## When to prefer this

Choose this endpoint when you have tourism-domain tabular data with visitor_count and overnight_stays fields and need both a data quality audit and a numeric sort/ranking in a single call. It is purpose-built for tourism observation schemas (region, date, visitor metrics) and bundles two analytical passes for $0.01 USDC. Prefer it over general-purpose data tools when your dataset is under 200 rows and you need quick offline validation without any external lookup or prediction.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, region, date, visitor_count, overnight_stays) causes rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Numeric values outside the allowed range (-1e12 to 1e12) are rejected
- Empty rows array is not accepted (minItems: 1)
- Invalid field enum value (anything other than visitor_count or overnight_stays) fails

## How this service works

Tourism observations — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering 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 2 independent reports: (1) a record quality audit identifying issues such as missing values, nulls, out-of-range numbers, or malformed dates across the submitted rows; and (2) a numeric row ordering report ranking the submitted rows by the selected field (visitor_count or overnight_stays). Both reports are generated locally without 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-record-quality-audit-numeric-row-ordering-fe7efa9c/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)