# Damaged Stock String Normalisation and Base-100 Series

> Damaged Stock String Normalisation and 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 2026-11-02).

Normalises store-group strings and computes a Base-100 index series for up to 200 rows of damaged stock data (handled_units, damaged_units), returning two local analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-retail-18-030?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/damaged-stock-string-normalisation-and-base-100-series-7c911043
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_FacyHQNLfk5yThGeYm5RQ

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 damaged-stock-string-normalisation-and-base-100-series-7c911043 -d '<json body>'
```

Example prompt: I have damaged stock records for two store groups over four days — handled_units and damaged_units per row — can you normalise the store group strings and compute a Base-100 index series for handled_units starting from row index 0? Here are the rows: row-1 group-a 2026-10-01 10 handled 1 damaged, row-2 group-b 2026-10-02 20 handled 2 damaged, row-3 group-a 2026-10-03 15 handled 3 damaged, row-4 group-b 2026-10-04 30 handled 4 damaged.

## When to prefer this

Choose this endpoint when you need both string normalisation of store/group labels and a Base-100 indexed time series from the same damaged stock dataset in a single call. It is ideal for retail inventory analysts who need to clean categorical string fields and produce relative index trends without any external API calls, live data lookups, or predictive modelling.

## Known failure modes

- Fewer than 1 row or more than 200 rows submitted — request rejected
- base_index references a row position that does not exist in the submitted array
- date field does not match YYYY-MM-DD pattern — validation error
- handled_units or damaged_units values outside ±1,000,000,000,000 — schema rejection
- Missing required fields (row_id, store_group, date, handled_units, damaged_units) on any row

## How this service works

Damaged stock — String normalisation + Base-100 series: String normalisation + Base-100 series for supplied damaged stock records (handled_units, damaged_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 two local analytical reports: (1) a string normalisation report standardising store_group labels across all submitted rows, and (2) a Base-100 index series for the chosen field (handled_units or damaged_units) relative to the specified base_index row. No external data is fetched; all computation is performed on the supplied rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "store_group",
     "date",
     "handled_units",
     "damaged_units"
    ],
    "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
     },
     "damaged_units": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "handled_units": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "store_group": "group-a",
     "damaged_units": 1,
     "handled_units": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "store_group": "group-b",
     "damaged_units": 2,
     "handled_units": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "store_group": "group-a",
     "damaged_units": 3,
     "handled_units": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "store_group": "group-b",
     "damaged_units": 4,
     "handled_units": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "handled_units",
    "damaged_units"
   ],
   "type": "string",
   "default": "handled_units"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/damaged-stock-string-normalisation-and-base-100-series-7c911043/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)