# Competitor Supplied Prices — Record Quality Audit + Grouped Numeric Summary

> Competitor Supplied Prices — Record Quality Audit + Grouped Numeric Summary 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 two local analytical reports on competitor pricing data: a record quality audit and a grouped numeric summary for list_price or package_quantity fields, across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-07-005?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-grouped-numeric-summary-4b849aaa
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_i-tVFbKgT4d7EG0XT_0T4

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-grouped-numeric-summary-4b849aaa -d '<json body>'
```

Example prompt: Can you audit the quality of these competitor price records and give me a grouped numeric summary of list_price by company group? I have up to 50 rows with fields row_id, company_group, date, list_price, and package_quantity.

## When to prefer this

Choose this endpoint when you have raw competitor pricing data (list_price, package_quantity) organized by company group and date, and you need both a data quality check and group-level numeric summary in a single low-cost call. It is ideal for pre-analysis validation workflows where you want to catch data issues and understand group distributions before downstream processing. Prefer this over manual inspection or general analytics tools when working with structured tabular datasets of up to 200 rows and needing two bundled reports at minimal cost.

## Known failure modes

- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, list_price, package_quantity) on any row causes rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation failure
- Field selector not in enum ['list_price','package_quantity'] returns an error
- Empty rows array is rejected by minItems constraint
- Numeric values outside allowed range (-1e12 to 1e12) are rejected

## How this service works

Competitor supplied prices — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary 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

Returns two analytical reports: (1) a record quality audit identifying missing values, invalid entries, and data completeness issues per row; and (2) a grouped numeric summary showing aggregate statistics (e.g. count, mean, min, max) for the selected field (list_price or package_quantity) segmented by company_group. Both reports are computed locally from the supplied data with no 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/competitor-supplied-prices-record-quality-audit-grouped-numeric-summary-4b849aaa/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)