# Warehouse Bins Two-Measure Correlation and Missing-Value Fill

> Warehouse Bins Two-Measure Correlation and Missing-Value Fill 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).

Computes the correlation between occupied_volume and available_volume for warehouse bin records and fills missing values using a chosen method (zero, mean, or median), returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-retail-13-184?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/warehouse-bins-two-measure-correlation-and-missing-value-fill-60c71dda
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_PVTosuUIr079WV_eg-5ww

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 warehouse-bins-two-measure-correlation-and-missing-value-fill-60c71dda -d '<json body>'
```

Example prompt: I have up to 150 rows of warehouse bin data with occupied_volume and available_volume fields — some values are missing. Can you run a correlation between those two measures and fill in the missing occupied_volume values using the median? Here's the data in row format with row_id, store_group, and date.

## When to prefer this

Choose this endpoint when you have warehouse bin records with occupied_volume and available_volume fields and need both a correlation report and missing-value imputation in a single low-cost call. It is ideal for offline or batch analytical workflows on datasets up to 200 rows where no live data lookup, prediction, or external enrichment is needed. Prefer it over general-purpose statistical tools when you want a fixed-price, self-contained computation that bundles both reports together.

## Known failure modes

- Fewer than 1 row submitted — minItems validation error
- More than 200 rows submitted — maxItems validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation rejection
- row_id missing or empty — required field error
- Numeric values outside allowed range (-1e12 to 1e12) — schema validation failure
- All values for selected field are null — correlation or fill may return undefined/NaN result
- Invalid method enum value — rejected at schema level

## How this service works

Warehouse bins — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill for supplied warehouse bins records (occupied_volume, available_volume). 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) a Pearson or equivalent correlation between occupied_volume and available_volume across the supplied rows, and (2) a record-by-record or summary fill of missing values in the selected field using the specified method (zero, mean, or median). No external data or predictions are used; all computation is local to the supplied dataset.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/warehouse-bins-two-measure-correlation-and-missing-value-fill-60c71dda/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)