# Competitor Supplied Prices — String Normalisation + Date by Category Pivot

> Competitor Supplied Prices — 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 2026-10-19).

Normalises string fields and produces a date-by-category pivot for up to 200 rows of competitor supplied pricing data (list_price, package_quantity), returning two analytical reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-07-035?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/competitor-supplied-prices-string-normalisation-date-by-category-pivot-a8e7a3a5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_LJOWzl_a9wxCtWK7I1eGq

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 competitor-supplied-prices-string-normalisation-date-by-category-pivot-a8e7a3a5 -d '<json body>'
```

Example prompt: I have 150 rows of competitor pricing data with company groups, dates, list prices, and package quantities — can you normalise the strings and give me a date-by-category pivot on list_price so I can see how each competitor group's prices change over time?

## When to prefer this

Choose this endpoint when you have up to 200 rows of pre-collected competitor pricing data (with company group, date, list_price, and/or package_quantity fields) and need both string normalisation and a date-by-category pivot in a single low-cost call. It is ideal for offline/batch analytical enrichment of supplied datasets rather than live price lookups or predictive modelling. At $0.01 USDC for two reports, it is cost-effective for small-to-medium competitor price datasets that need light transformation before downstream analysis.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes parsing failure
- Missing required fields (row_id, company_group, date) causes validation error
- Invalid field selector (not 'list_price' or 'package_quantity') returns error
- Numeric values outside allowed range (-1T to +1T) may be rejected
- Empty rows array returns validation error

## How this service works

Competitor supplied prices — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied competitor supplied prices records (list_price, package_quantity). 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: (1) string-normalised version of the supplied competitor pricing rows, and (2) a date-by-category pivot table for the selected numeric field (list_price or package_quantity), computed locally with no external lookups or predictions. Results are limited to up to 200 input rows.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/competitor-supplied-prices-string-normalisation-date-by-category-pivot-a8e7a3a5/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)