# Competitor Supplied Prices — Record Quality Audit + String Normalisation + Trailing Mean Series

> Competitor Supplied Prices — Record Quality Audit + String Normalisation + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Runs three analytical reports on competitor price data: record quality audit, string normalisation, and trailing mean series for list_price or package_quantity fields, across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-07-199?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-record-quality-audit-string-normalisation-76108124
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_5XSX2P_EW1KNmeUavW95d

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-record-quality-audit-string-normalisation-76108124 -d '<json body>'
```

Example prompt: Can you run a full quality audit, string normalisation, and trailing mean series (window of 3) on these competitor price rows I'm uploading — checking the list_price field across my company groups for dates in October 2026?

## When to prefer this

Choose this endpoint when you have a batch of up to 200 competitor pricing records and need simultaneous data quality auditing, string normalisation of categorical labels, and rolling statistical analysis — all in one paid call at $0.01 USDC. It is ideal for pre-processing competitor pricing data before modelling or reporting, especially when you want three complementary analytical views without multiple round-trips. Prefer this over single-purpose audit or normalisation tools when all three report types are needed together.

## Known failure modes

- Input array is empty or exceeds 200 rows — validation error returned
- Invalid date format (not YYYY-MM-DD) in any row — schema rejection
- Selected field value not in enum ['list_price', 'package_quantity'] — schema error
- Window size outside 2–200 range — validation failure
- Malformed numeric values beyond allowed range — rejection
- Missing required fields (row_id, company_group, date) — schema validation error

## How this service works

Competitor supplied prices — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean series for supplied competitor supplied prices records (list_price, package_quantity). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Three independent analytical reports returned together: (1) a record quality audit flagging missing, null, or out-of-range values in list_price and package_quantity; (2) a string normalisation report identifying and cleaning inconsistencies in company_group labels; (3) a trailing mean series for the selected numeric field (list_price or package_quantity) over the specified window size, computed locally without any external lookups.

## 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/competitor-supplied-prices-record-quality-audit-string-normalisation-76108124/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)