# Facilities Usage — Exact Row Deduplication + Numeric Row Ordering

> Facilities Usage — Exact Row Deduplication + 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 2026-11-02).

Deduplicates and numerically orders up to 200 facilities usage records (occupied_seats, available_seats) using local analytical engines, producing 2 independent reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-12-042?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/facilities-usage-exact-row-deduplication-numeric-row-ordering-6473ad9f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_HOyb8bNRVXDXKOKIb0XZl

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-exact-row-deduplication-numeric-row-ordering-6473ad9f -d '<json body>'
```

Example prompt: Can you deduplicate and numerically sort these facilities usage records I have — they include occupied_seats and available_seats columns for several team groups across dates — and give me 2 clean reports? I have about 50 rows.

## When to prefer this

Choose this endpoint when you need lightweight, local data-quality operations — exact row deduplication and numeric ordering — on facilities seat usage records up to 200 rows, with no need for external data, predictions, or professional assessment. It is cost-effective at $0.01 USDC for two reports and ideal for preprocessing facility occupancy data before further analysis or reporting.

## Known failure modes

- More than 200 rows submitted — exceeds maxItems limit, request rejected
- Missing required fields (row_id, team_group, date, occupied_seats, available_seats) cause validation errors
- Invalid date format (must match YYYY-MM-DD pattern) causes schema rejection
- Payment not included or insufficient USDC causes 402 response
- Non-numeric values in occupied_seats or available_seats fields cause processing errors

## How this service works

Facilities usage — Exact row deduplication + Numeric row ordering: Exact row deduplication + Numeric row ordering 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 2 independent analytical reports: one showing the exact-deduplicated set of up to 200 facilities usage rows, and one showing those rows ordered numerically by the selected field (occupied_seats or available_seats), processed entirely with local analytical engines — no external lookups or predictions.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/facilities-usage-exact-row-deduplication-numeric-row-ordering-6473ad9f/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)