# Business Website Inventories — String Normalisation + Date by Category Pivot

> Business Website Inventories — String Normalisation + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).

Normalises string fields and pivots a numeric field by date and company category for up to 200 business website inventory rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-23-035?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-17
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/business-website-inventories-string-normalisation-date-by-category-5e263fbb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_wCD1WjeNAVsY6F3OTfzEM

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 business-website-inventories-string-normalisation-date-by-category-5e263fbb -d '<json body>'
```

Example prompt: Normalize the string fields and pivot page_count by date and company group for these 200 website inventory rows — groups are 'group-a' and 'group-b', dates run from 2026-10-01 to 2026-10-04, and I want both the string normalisation report and the date-by-category pivot.

## When to prefer this

Choose this endpoint when you have up to 200 business website inventory records with page_count and verified_pages fields and need both string normalisation of categorical labels and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical preparation of website audit datasets where no live data lookup, prediction, or external enrichment is needed.

## Known failure modes

- Fewer than 1 row supplied — returns validation error
- More than 200 rows supplied — exceeds maxItems limit, rejected
- Invalid date format (not YYYY-MM-DD) — schema pattern validation failure
- Missing required fields (row_id, company_group, date) — schema validation error
- Numeric values outside allowed range — rejected by min/max constraints
- Invalid field enum value (not page_count or verified_pages) — schema validation error

## How this service works

Business website inventories — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied business website inventories records (page_count, verified_pages). 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-normalised version of the supplied business website inventory records cleaning up company_group and row_id fields, and (2) a date-by-category pivot table aggregating the chosen numeric field (page_count or verified_pages) grouped by company_group across all supplied dates — all computed locally without external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "page_count",
     "verified_pages"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "page_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "company_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "verified_pages": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "page_count": 10,
     "company_group": "group-a",
     "verified_pages": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "page_count": 20,
     "company_group": "group-b",
     "verified_pages": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "page_count": 15,
     "company_group": "group-a",
     "verified_pages": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "page_count": 30,
     "company_group": "group-b",
     "verified_pages": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "page_count",
    "verified_pages"
   ],
   "type": "string",
   "default": "page_count"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-website-inventories-string-normalisation-date-by-category-5e263fbb/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)