# Facilities Usage — Exact Row Deduplication + Two-Measure Correlation

> Facilities Usage — Exact Row Deduplication + Two-Measure Correlation 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 exact duplicate rows and computes correlation between occupied_seats and available_seats across up to 200 facilities usage records, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-12-050?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-two-measure-correlation-48dd9922
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Pruju_uT8Utr3TeuTESUm

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-two-measure-correlation-48dd9922 -d '<json body>'
```

Example prompt: I have up to 200 rows of facilities usage records with occupied_seats and available_seats per team group and date — can you deduplicate exact duplicate rows and run a correlation analysis between those two seat measures, giving me two reports?

## When to prefer this

Choose this endpoint when you have up to 200 facilities usage records containing occupied_seats and available_seats and need both exact duplicate row removal and a two-measure correlation in a single low-cost call. It is ideal for lightweight data cleaning and quick statistical relationship checks on seat occupancy data without needing an external analytics platform or live data integration.

## Known failure modes

- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — rejected with row limit exceeded error
- Missing required fields (row_id, date, occupied_seats, available_seats) — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern mismatch error
- Null values for both measures in all rows — correlation cannot be computed
- row_id exceeds 80 characters — field length validation failure

## How this service works

Facilities usage — Exact row deduplication + Two-measure correlation: Exact row deduplication + Two-measure correlation 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 two analytical reports: (1) exact row deduplication results showing which rows were duplicated and the cleaned dataset, and (2) a correlation report quantifying the statistical relationship between occupied_seats and available_seats across the supplied records.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/facilities-usage-exact-row-deduplication-two-measure-correlation-48dd9922/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)