# Tourism Observations — String Normalisation + Duplicate Key Report

> Tourism Observations — String Normalisation + Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).

Analyzes up to 200 tourism observation rows (visitor_count, overnight_stays) producing two local reports: string normalisation and duplicate key detection.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-14-021?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-29
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/tourism-observations-string-normalisation-duplicate-key-report-efc6adc2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_SedATXQwzLj-Oh-KSaU3P

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-string-normalisation-duplicate-key-report-efc6adc2 -d '<json body>'
```

Example prompt: Can you run string normalisation and a duplicate key check on my tourism observations? I have about 50 rows with fields like row_id, region, date, visitor_count, and overnight_stays — here they are.

## When to prefer this

Choose this endpoint when you need two specific data quality operations — string normalisation and duplicate key detection — on tourism observation data (visitor_count, overnight_stays) in a single affordable call. Prefer it over general-purpose data cleaning tools when your dataset is bounded (≤200 rows), you want local analytical processing with no external data lookups, and cost predictability at $0.01 per call matters.

## Known failure modes

- Payload exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, region, date, visitor_count, overnight_stays) cause row-level validation errors
- Malformed date strings not matching YYYY-MM-DD pattern may be flagged or rejected
- Numeric values outside the allowed range (-1e12 to 1e12) may cause schema validation failures
- Empty rows array returns an error due to minItems:1 constraint

## How this service works

Tourism observations — String normalisation + Duplicate key report: String normalisation + Duplicate key report 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 independent analytical reports for the submitted tourism rows: (1) a string normalisation report identifying and correcting inconsistent or malformed string values in fields like region and date, and (2) a duplicate key report flagging any rows that share the same key identifiers (e.g. row_id), all processed 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tourism-observations-string-normalisation-duplicate-key-report-efc6adc2/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)