# Competitor Supplied Prices — Record Quality Audit + Exact Row Deduplication + Category Frequencies

> Competitor Supplied Prices — Record Quality Audit + Exact Row Deduplication + Category Frequencies 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 (record quality audit, exact row deduplication, and category frequencies) on up to 200 rows of competitor supplied price data containing list_price and package_quantity fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-07-212?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-exact-row-2ec9c2bd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_mY2XnoJ-rBKnWsVtxctTO

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-exact-row-2ec9c2bd -d '<json body>'
```

Example prompt: Can you audit this competitor pricing dataset I collected — run a record quality check, remove any exact duplicate rows, and give me a frequency breakdown by company group? I have about 50 rows with list_price and package_quantity fields for groups like 'acme-corp' and 'rival-co' dated from 2026-10-01 to 2026-10-31.

## When to prefer this

Choose this endpoint when you have a batch of up to 200 competitor supplied pricing records (with list_price and package_quantity) and need three data quality reports in a single low-cost call: a record quality audit, exact duplicate detection, and category frequency counts. Prefer this over manual spreadsheet checks or building custom scripts when you want fast, structured analytical output without any external lookups or model predictions. Not suitable for live price lookups, forecasting, or datasets exceeding 200 rows.

## Known failure modes

- Input array is empty (minItems: 1 violated) — validation error returned
- More than 200 rows submitted (maxItems: 200 violated) — request rejected
- date field does not match YYYY-MM-DD format — schema validation error
- row_id missing or empty string — required field error
- list_price or package_quantity out of allowed numeric range — validation error
- Payment of 0.01 USDC not processed — 402 Payment Required response

## How this service works

Competitor supplied prices — Record quality audit + Exact row deduplication + Category frequencies: Record quality audit + Exact row deduplication + Category frequencies 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 highlighting completeness, nulls, and field-level issues across list_price and package_quantity fields; (2) an exact row deduplication report identifying and removing identical rows; (3) a category frequency report showing how often each company_group value appears across the supplied records.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/competitor-supplied-prices-record-quality-audit-exact-row-2ec9c2bd/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)