# Inventory Administration — String Normalisation + Category Frequencies

> Inventory Administration — String Normalisation + Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).

Runs two local analytical reports on inventory administration data: string normalisation of text fields and category frequency counts across team_group, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-21-024?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-31
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/inventory-administration-string-normalisation-category-frequencies-65b2a714
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_bOiArbBj7CEMW2jPCfSvZ

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 inventory-administration-string-normalisation-category-frequencies-65b2a714 -d '<json body>'
```

Example prompt: I have up to 200 inventory administration records with fields like row_id, team_group, date, count_sessions, and discrepancy_count — can you run string normalisation on the text fields and give me a category frequency breakdown by team_group?

## When to prefer this

Choose this endpoint when you need both string normalisation and category frequency counts on inventory administration records in a single low-cost call. It is best suited for batch offline analysis of up to 200 rows where no live data lookup, prediction, or external action is required. It is not suitable for real-time inventory tracking, predictive analytics, or datasets exceeding 200 rows.

## Known failure modes

- Submitting more than 200 rows returns an error — batch must be split
- Missing required fields (row_id, team_group, date, count_sessions, discrepancy_count) causes validation failure
- Invalid date format (not YYYY-MM-DD) will be rejected by schema validation
- Numeric values outside the allowed range (±1,000,000,000,000) will fail validation
- Empty rows array (minItems:1 not met) returns an error

## How this service works

Inventory administration — String normalisation + Category frequencies: String normalisation + Category frequencies for supplied inventory administration records (count_sessions, discrepancy_count). 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 reports: (1) a string normalisation report showing cleaned/standardised versions of text fields (e.g. team_group) across the submitted rows, and (2) a category frequency report showing how many records belong to each distinct category value, all computed locally without any external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/inventory-administration-string-normalisation-category-frequencies-65b2a714/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)