# Facilities Usage — String Normalisation + Numeric Interval Filter

> Facilities Usage — String Normalisation + Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).

Normalises team_group strings and filters facilities usage records (occupied_seats, available_seats) by a numeric min/max interval, producing up to 2 analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-12-026?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/facilities-usage-string-normalisation-numeric-interval-filter-5cfa5a86
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_nBvg2CRkq0vni_2pQCIiz

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 facilities-usage-string-normalisation-numeric-interval-filter-5cfa5a86 -d '<json body>'
```

Example prompt: Can you normalise the team group names and filter by occupied_seats between 10 and 50 for these facility usage records: row-1 group-a 2026-10-01 occupied=10 available=1, row-2 group-b 2026-10-02 occupied=45 available=5, row-3 group-a 2026-10-03 occupied=60 available=3?

## When to prefer this

Choose this endpoint when you have up to 200 facilities usage records with seat occupancy data and need both string normalisation of team/group labels and numeric interval filtering of seat counts in a single low-cost call ($0.01 USDC for 2 reports). It is ideal for offline/batch cleaning of pre-collected data without requiring live lookups or external enrichment.

## Known failure modes

- Rows array empty or missing — validation error
- More than 200 rows submitted — rejected with maxItems error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field value outside ±1,000,000,000,000 range — rejected
- Minimum greater than maximum — may return empty filtered result set
- Missing required fields (row_id) — schema validation error
- Payment not included or insufficient — 402 Payment Required

## How this service works

Facilities usage — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter for supplied facilities usage records (occupied_seats, available_seats). 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 up to 2 analytical reports on the supplied facilities usage records: one covering string-normalised team_group values and one covering records filtered to the specified numeric interval for the chosen field (occupied_seats or available_seats), applied to up to 200 input rows. No external data is fetched; all processing uses local analytical engines.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "team_group",
     "date",
     "occupied_seats",
     "available_seats"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "team_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "occupied_seats": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "available_seats": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "team_group": "group-a",
     "occupied_seats": 10,
     "available_seats": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "team_group": "group-b",
     "occupied_seats": 20,
     "available_seats": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "team_group": "group-a",
     "occupied_seats": 15,
     "available_seats": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "team_group": "group-b",
     "occupied_seats": 30,
     "available_seats": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "occupied_seats",
    "available_seats"
   ],
   "type": "string",
   "default": "occupied_seats"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/facilities-usage-string-normalisation-numeric-interval-filter-5cfa5a86/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)