# Office Supplies String Normalisation and Numeric Row Ordering

> Office Supplies String Normalisation and Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Normalises string fields and applies numeric row ordering to office supplies records (issued_units, received_units) for up to 200 rows, returning 2 analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-24-025?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/office-supplies-string-normalisation-and-numeric-row-ordering-a7f6b436
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ih6ZYBsKTtZajv3fIDpvZ

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 office-supplies-string-normalisation-and-numeric-row-ordering-a7f6b436 -d '<json body>'
```

Example prompt: Can you normalise the string fields and sort the rows numerically by issued_units for these office supplies records? I have 4 rows: row-1 for group-a on 2026-10-01 with issued_units 10 and received_units 1, row-2 for group-b on 2026-10-02 with issued_units 20 and received_units 2, row-3 for group-a on 2026-10-03 with issued_units 15 and received_units 3, row-4 for group-b on 2026-10-04 with issued_units 30 and received_units 4.

## When to prefer this

Choose this endpoint when you have office supplies tabular data with string inconsistencies and need numeric row ordering on issued or received unit counts, and want two bundled analytical reports at low cost ($0.01 for both). Ideal for lightweight, offline-style data cleaning and sorting without needing external data sources, predictions, or live lookups.

## Known failure modes

- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, date, issued_units, received_units) cause row-level errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Numeric values outside ±1,000,000,000,000 range rejected
- Invalid field enum value (not 'issued_units' or 'received_units') causes error
- Empty rows array rejected (minItems: 1)

## How this service works

Office supplies — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied office supplies records (issued_units, received_units). 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 2 independent analytical reports: one covering string normalisation of fields such as team_group and date, and one providing numeric row ordering based on the selected field (issued_units or received_units). Reports are generated locally with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "team_group",
     "date",
     "issued_units",
     "received_units"
    ],
    "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
     },
     "issued_units": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "received_units": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "team_group": "group-a",
     "issued_units": 10,
     "received_units": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "team_group": "group-b",
     "issued_units": 20,
     "received_units": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "team_group": "group-a",
     "issued_units": 15,
     "received_units": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "team_group": "group-b",
     "issued_units": 30,
     "received_units": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "issued_units",
    "received_units"
   ],
   "type": "string",
   "default": "issued_units"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/office-supplies-string-normalisation-and-numeric-row-ordering-a7f6b436/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)