# Warehouse Bins — String Normalisation + Daily Sum Series

> Warehouse Bins — String Normalisation + Daily Sum Series 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 daily sum time series for warehouse bin occupancy and availability volume data (up to 200 rows, 2 reports per call).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-retail-13-027?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-daily-sum-series-d26b1819
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_UttWaCqKbc4TzH4MvxTPq

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-daily-sum-series-d26b1819 -d '<json body>'
```

Example prompt: Can you normalise the store_group strings and generate a daily sum series for occupied_volume across these warehouse bin records? I have 4 rows: row-1 in group-a on 2026-10-01 with occupied_volume 10 and available_volume 1, row-2 in group-b on 2026-10-02 with 20 and 2, row-3 in group-a on 2026-10-03 with 15 and 3, and row-4 in group-b on 2026-10-04 with 30 and 4.

## When to prefer this

Choose this endpoint when you need both string normalisation and a daily sum time series computed together on warehouse bin data in a single low-cost call. Ideal for retail/logistics pipelines that need to clean categorical labels and roll up volume metrics by date without external dependencies. Best when your dataset fits within 200 rows and you want two complementary reports for $0.01 USDC.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Missing required fields (row_id, date, occupied_volume, available_volume) — validation failure
- Numeric values outside ±1,000,000,000,000 range — schema rejection
- Invalid field enum value (not occupied_volume or available_volume) — error
- Payment not included or insufficient — x402 payment required response

## How this service works

Warehouse bins — String normalisation + Daily sum series: String normalisation + Daily sum series 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 string normalisation report cleaning the store_group and related string fields across the submitted rows, and (2) a daily sum series aggregating the selected numeric field (occupied_volume or available_volume) by date. Both reports are computed locally 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
  },
  "field": {
   "enum": [
    "occupied_volume",
    "available_volume"
   ],
   "type": "string",
   "default": "occupied_volume"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/warehouse-bins-string-normalisation-daily-sum-series-d26b1819/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)