# Competitor Supplied Prices — String Normalisation + Numeric Row Ordering

> Competitor Supplied Prices — String Normalisation + Numeric Row Ordering 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 sorts rows numerically for up to 200 competitor price records (list_price, package_quantity), returning two local analytical reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-07-025?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-numeric-row-ordering-33fef9ac
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_EEUOEKO5-ZbVOQFjnRY98

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-numeric-row-ordering-33fef9ac -d '<json body>'
```

Example prompt: Can you normalise the string fields and sort these competitor price records numerically by list_price? I have 4 rows: row-1 for group-a on 2026-10-01 with list_price 10 and package_quantity 1, row-2 for group-b on 2026-10-02 with list_price 20 and package_quantity 2, row-3 for group-a on 2026-10-03 with list_price 15 and package_quantity 3, and row-4 for group-b on 2026-10-04 with list_price 30 and package_quantity 4.

## When to prefer this

Choose this endpoint when you have up to 200 rows of competitor pricing data and need both string field normalisation and numeric row ordering as two bundled analytical reports in a single low-cost call ($0.01 USDC). It is best suited for offline/batch-style data cleaning and ordering tasks where no live data lookup, external enrichment, or predictive modelling is required. Prefer alternatives if you need correlation analysis, pivot tables, missing-value fill, or histogram outputs — those are separate sibling endpoints on the same platform.

## Known failure modes

- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, company_group, date, list_price, package_quantity) — row rejected or error returned
- Invalid date format (not YYYY-MM-DD) — validation failure
- Numeric value outside allowed range (±1,000,000,000,000) — validation error
- Empty rows array — minimum 1 item required
- Invalid field enum value (not list_price or package_quantity) — schema validation error

## How this service works

Competitor supplied prices — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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 independent analytical reports produced by local engines: one covering string normalisation of fields such as company_group and date, and one covering numeric ordering of the selected field (list_price or package_quantity) across up to 200 input rows. No external lookups, predictions, or live data are included.

## 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-numeric-row-ordering-33fef9ac/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)