# Office Supplies String Normalisation + Base-100 Series Analyzer

> Office Supplies String Normalisation + Base-100 Series Analyzer 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).

Normalizes string fields and computes Base-100 index series for office supplies records tracking issued and received units, producing two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-24-030?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/office-supplies-string-normalisation-base-100-series-analyzer-4de25759
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8N2cVzrrMqe8c0mhQuQBy

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-base-100-series-analyzer-4de25759 -d '<json body>'
```

Example prompt: Normalize the team_group strings and compute a Base-100 series on issued_units for my office supplies data — here are 4 rows: row-1 on 2026-10-01 for group-a with 10 issued and 1 received, row-2 on 2026-10-02 for group-b with 20 issued and 2 received, row-3 on 2026-10-03 for group-a with 15 issued and 3 received, row-4 on 2026-10-04 for group-b with 30 issued and 4 received — use row index 0 as the base.

## When to prefer this

Choose this endpoint when you need both string normalisation and Base-100 index series analysis on office supplies records (issued_units or received_units) in a single low-cost call. It is purpose-built for operations teams tracking supply distribution by team group over time, where cleaning text fields and benchmarking numeric trends relative to a base row are the primary analytical needs. Prefer it over generic data processing tools when your dataset is under 200 rows and you want two bundled reports for $0.01 USDC without external lookups or predictions.

## Known failure modes

- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, date, issued_units, received_units) — row rejected or error returned
- Invalid date format (not YYYY-MM-DD) — validation failure
- base_index out of range for submitted row count — error or fallback to index 0
- Numeric values outside allowed range (±1,000,000,000,000) — validation rejection
- Payment not completed via x402 protocol — endpoint not served

## How this service works

Office supplies — String normalisation + Base-100 series: String normalisation + Base-100 series 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

Two analytical reports: (1) a string normalisation report cleaning team_group and other text fields across the submitted rows, and (2) a Base-100 index series for the selected numeric field (issued_units or received_units) relative to the specified base row index — covering up to 200 rows of office supplies data per call.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/office-supplies-string-normalisation-base-100-series-analyzer-4de25759/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)