# Warehouse Bins String Normalisation and Keyed Dataset Comparison

> Warehouse Bins String Normalisation and Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-03).

Normalises strings and compares two keyed warehouse bin datasets (occupied_volume, available_volume) across up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-retail-13-036?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-03
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/warehouse-bins-string-normalisation-and-keyed-dataset-comparison-55ae3e55
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_QQ6UCObWLusTadVhrDuLV

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-and-keyed-dataset-comparison-55ae3e55 -d '<json body>'
```

Example prompt: Compare these two sets of warehouse bin records — I have a baseline dataset and an updated dataset, each with occupied_volume and available_volume per bin per store group, up to 200 rows — and give me a string normalisation report plus a keyed comparison showing where they differ.

## When to prefer this

Choose this endpoint when you have two keyed warehouse bin datasets (with occupied_volume and available_volume fields) and need both string normalisation and a structured comparison in a single call at low cost ($0.01 USDC for both reports). Ideal for offline batch reconciliation, data quality audits, and snapshot diffing of up to 200 rows without requiring live external lookups.

## Known failure modes

- Rows array exceeds 200 items — request rejected
- Missing required fields (row_id, store_group, date, occupied_volume, available_volume) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- No live lookup or external data enrichment available — only supplied data is analysed
- Numeric values outside allowed range (-1e12 to 1e12) — validation error

## How this service works

Warehouse bins — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison 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 normalisation report showing cleaned and standardised field values (e.g. store_group names) and (2) a keyed dataset comparison report highlighting row-by-row differences in occupied_volume and available_volume between the two supplied datasets, covering up to 200 rows each.

## 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}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "store_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "occupied_volume": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "available_volume": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "store_group": "group-a",
     "occupied_volume": 10,
     "available_volume": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "store_group": "group-b",
     "occupied_volume": 20,
     "available_volume": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "store_group": "group-a",
     "occupied_volume": 15,
     "available_volume": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "store_group": "group-b",
     "occupied_volume": 30,
     "available_volume": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "store_group",
     "date",
     "occupied_volume",
     "available_volume"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "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
     }
    },
    "additionalPropert
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/warehouse-bins-string-normalisation-and-keyed-dataset-comparison-55ae3e55/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)