# Tourism Observations — Numeric Distribution + Base-100 Series

> Tourism Observations — Numeric Distribution + 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).

Computes numeric distribution statistics and a base-100 index series for supplied tourism records (visitor_count or overnight_stays) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-14-078?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-numeric-distribution-base-100-series-40f7c875
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_JsolgNd68vJjHJt5qsNlB

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-numeric-distribution-base-100-series-40f7c875 -d '<json body>'
```

Example prompt: I have 4 tourism observation records across two regions — can you run a numeric distribution report and a base-100 index series on the visitor_count field, using row 0 as the base, for this data: region group-a on 2026-10-01 had 10 visitors and 1 overnight stay (row-1), group-b on 2026-10-02 had 20 visitors and 2 stays (row-2), group-a on 2026-10-03 had 15 visitors and 3 stays (row-3), and group-b on 2026-10-04 had 30 visitors and 4 stays (row-4)?

## When to prefer this

Choose this endpoint when you have pre-collected tourism observation data (visitor counts, overnight stays) and need both a statistical distribution analysis and a base-100 normalization series in a single low-cost call. It is ideal for offline/batch analytical workflows where no live data lookup, prediction, or external enrichment is needed, and where cost efficiency (two reports for $0.01 USDC) matters.

## Known failure modes

- Exceeds 200-row limit — request is rejected or truncated
- Missing required row fields (row_id, region, date, visitor_count, overnight_stays) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- base_index out of range for the supplied rows — error or undefined behavior
- Null values in numeric fields may affect distribution and index calculations

## How this service works

Tourism observations — Numeric distribution + Base-100 series: Numeric distribution + 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 for the supplied tourism dataset: (1) a numeric distribution report showing statistical spread metrics for the selected field (visitor_count or overnight_stays), and (2) a base-100 index series normalizing values relative to the specified base row — both computed 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tourism-observations-numeric-distribution-base-100-series-40f7c875/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)