# Inventory Administration — String Normalisation + Base-100 Series

> Inventory Administration — String Normalisation + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).

Applies string normalisation and base-100 indexing to inventory count session and discrepancy records, producing two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-21-030?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/inventory-administration-string-normalisation-base-100-series-681e1721
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_2cHFndvUwmhJfCIdcc6bc

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-base-100-series-681e1721 -d '<json body>'
```

Example prompt: Can you run string normalisation and a base-100 series on my inventory administration data? I have 4 rows with count_sessions and discrepancy_count for teams group-a and group-b across dates 2026-10-01 to 2026-10-04, using count_sessions as the field and base index 0.

## When to prefer this

Choose this endpoint when you have pre-collected inventory administration records with count_sessions and discrepancy_count fields and need both string normalisation and base-100 index series computed locally without any live data lookups, predictions, or external calls. Best suited for up to 200 rows of team-grouped, date-stamped inventory data where you want two bundled analytical reports at minimal cost ($0.01 USDC).

## Known failure modes

- More than 200 rows submitted — request rejected, maxItems limit exceeded
- Missing required fields (row_id, team_group, date, count_sessions, discrepancy_count) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- base_index out of range (0–199) — validation error
- Null values in numeric fields may affect base-100 calculation output
- Empty rows array — minItems constraint violation

## How this service works

Inventory administration — String normalisation + Base-100 series: String normalisation + Base-100 series 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

Two analytical reports per call: a string-normalised view of the supplied inventory administration records and a base-100 indexed series for the selected numeric field (count_sessions or discrepancy_count), covering up to 200 input rows. No external data is fetched; all analysis runs on the supplied data using local analytical engines.

## 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
  },
  "field": {
   "enum": [
    "count_sessions",
    "discrepancy_count"
   ],
   "type": "string",
   "default": "count_sessions"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/inventory-administration-string-normalisation-base-100-series-681e1721/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)