# Warehouse Bins String Normalisation + Two-Measure Correlation

> Warehouse Bins String Normalisation + 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).

Normalises string fields and computes a two-measure correlation between occupied_volume and available_volume for up to 200 warehouse bin records, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-retail-13-033?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-string-normalisation-two-measure-correlation-26af9367
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_L1wRTAA-5Jz-2vgeVkBBF

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-string-normalisation-two-measure-correlation-26af9367 -d '<json body>'
```

Example prompt: I have up to 200 rows of warehouse bin data with row IDs, store groups, dates, occupied_volume, and available_volume — can you run string normalization on the store group names and compute a two-measure correlation between occupied and available volume, and give me both reports?

## When to prefer this

Choose this endpoint when you have warehouse or retail bin data with both occupied and available volume metrics and need two things at once: cleaned, normalized string fields and a statistical correlation between those two volume measures. It is ideal for small-to-medium batch jobs (up to 200 rows) where you want a self-contained, offline analytical result with no external data lookups or predictions.

## Known failure modes

- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds maximum limit
- Missing required fields (row_id, date, occupied_volume, available_volume) — validation error
- Date field not in YYYY-MM-DD format — pattern validation failure
- Numeric volume values outside ±1,000,000,000,000 range — schema rejection
- Insufficient numeric variance in volume columns — correlation may be undefined or return NaN
- Payment of 0.01 USDC not completed — 402 Payment Required response

## How this service works

Warehouse bins — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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

Two analytical reports: (1) a string normalization report cleaning and standardizing the store_group and other string fields across the submitted rows, and (2) a two-measure correlation report quantifying the statistical relationship between occupied_volume and available_volume across all submitted records. Results are derived entirely from the supplied data with no external lookups.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/warehouse-bins-string-normalisation-two-measure-correlation-26af9367/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)