# Tourism Observations String Normalisation & Base-100 Series

> Tourism Observations String Normalisation & Base-100 Series 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).

Applies string normalisation and base-100 indexing to supplied tourism observation records (visitor_count or overnight_stays) for up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-14-030?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-string-normalisation-base-100-series-3909f182
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ys3_IZE2QLKt9xUm50QP2

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-base-100-series-3909f182 -d '<json body>'
```

Example prompt: Take my tourism observation records for regions group-a and group-b from October 2026 — with visitor_count and overnight_stays columns — and run string normalisation plus a base-100 series on the visitor_count field, using row 0 as the base index. I have 4 rows total.

## When to prefer this

Choose this endpoint when you have structured tourism observation data (visitor counts or overnight stays) that needs both string normalisation and base-100 indexing in a single call, for up to 200 rows, without requiring live data lookups or external enrichment. It is cost-effective at $0.01 USDC for two reports in one call.

## Known failure modes

- More than 200 rows submitted — request rejected due to maxItems limit
- Missing required fields (row_id, region, date, visitor_count, overnight_stays) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- base_index out of range (must be 0–199 and within row count) — index error
- Invalid field enum value (must be visitor_count or overnight_stays) — schema rejection
- Payment not included or insufficient USDC — x402 payment required response

## How this service works

Tourism observations — String normalisation + Base-100 series: String normalisation + Base-100 series 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) string-normalised versions of the supplied tourism record fields, and (2) a base-100 indexed series for the selected numeric field (visitor_count or overnight_stays), computed locally without any external lookups or predictions. Both reports cover up to 200 input 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tourism-observations-string-normalisation-base-100-series-3909f182/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)