# Competitor Supplied Prices — Numeric Row Ordering + Secondary-Measure Weighted Mean

> Competitor Supplied Prices — Numeric Row Ordering + Secondary-Measure Weighted Mean 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).

Applies numeric row ordering and secondary-measure weighted mean analysis to user-supplied competitor price records (list_price, package_quantity), returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-07-121?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-numeric-row-ordering-secondary-measure-0e780fa0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_nixtiiBdhVg5EIqn7pZT0

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-numeric-row-ordering-secondary-measure-0e780fa0 -d '<json body>'
```

Example prompt: I have competitor pricing data for two groups — can you rank the rows numerically by list_price and also compute the package_quantity-weighted mean for these four records: row-1 on 2026-10-01 for group-a with list_price 10 and package_quantity 1, row-2 on 2026-10-02 for group-b with list_price 20 and package_quantity 2, row-3 on 2026-10-03 for group-a with list_price 15 and package_quantity 3, and row-4 on 2026-10-04 for group-b with list_price 30 and package_quantity 4?

## When to prefer this

Choose this endpoint when you have your own batch of competitor pricing records (up to 200 rows) and need both a numeric ranking and a package-quantity-weighted mean computed in a single call at minimal cost ($0.01 USDC). It is a pure local computation — no external data lookups, predictions, or professional assessments — making it ideal for deterministic, reproducible price analytics on supplied data.

## Known failure modes

- Rows array empty or missing — minItems:1 violated
- More than 200 rows submitted — maxItems:200 exceeded
- Invalid date format (not YYYY-MM-DD pattern) causes row rejection
- Missing required fields (row_id, company_group, date, list_price, package_quantity) on any row
- Invalid field enum value (must be 'list_price' or 'package_quantity')
- Null values in both numeric fields may produce undefined weighted mean
- Payment not included or insufficient — x402 payment required at $0.01 USDC

## How this service works

Competitor supplied prices — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + Secondary-measure weighted mean 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 analytical reports derived from the submitted rows: (1) a numeric row ordering of the selected field (list_price or package_quantity) across all supplied records, and (2) a secondary-measure weighted mean where one field is weighted by the other — all computed locally without external lookups. Results cover up to 200 input rows.

## 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-numeric-row-ordering-secondary-measure-0e780fa0/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)