# Competitor Supplied Prices — Record Quality Audit + Exact Row Deduplication + Trailing Mean Series

> Competitor Supplied Prices — Record Quality Audit + Exact Row Deduplication + 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 local analytical reports on up to 200 rows of competitor price data: a record quality audit, exact row deduplication, and a trailing mean series for list_price or package_quantity.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-07-216?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-87c08970
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_WsQOlKmXcuYRqBy5nHhTr

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-87c08970 -d '<json body>'
```

Example prompt: Can you audit this batch of competitor price records for quality issues, remove any exact duplicate rows, and compute a trailing mean with a window of 3 for list_price? 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 need three complementary data quality and statistical reports on a batch of competitor pricing records in a single call at minimal cost. It is ideal for preprocessing raw competitive price data before analysis or ingestion into a pricing model, especially when you need deduplication, quality flagging, and a rolling average in one shot without any external data lookups or predictions.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — rejected with validation error
- Missing required fields (row_id, company_group, date, list_price, package_quantity) — schema validation failure
- Invalid date format (not YYYY-MM-DD) — rejected
- Window size outside 2–200 range — rejected
- Field value not in enum [list_price, package_quantity] — rejected
- Payment not provided or insufficient — 402 error returned

## How this service works

Competitor supplied prices — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + 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

Returns three independent reports: (1) a record quality audit flagging malformed, null, or out-of-range values; (2) an exact row deduplication report identifying and removing duplicate records; and (3) a trailing mean series for the selected numeric field (list_price or package_quantity) computed with the specified window size. All processing is local 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"
  },
  "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-exact-row-87c08970/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)