# Price Basket Observations — Category Frequencies & Numeric Row Ordering

> Price Basket Observations — Category Frequencies & Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).

Analyzes up to 200 price basket observation records by computing category frequencies and numeric row ordering across item_price or quantity_weight fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-07-100?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/price-basket-observations-category-frequencies-numeric-row-ordering-42f6769c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_2EMeVy95irp6dSz5gdBqr

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 price-basket-observations-category-frequencies-numeric-row-ordering-42f6769c -d '<json body>'
```

Example prompt: I have a set of price basket observations — about 80 rows each with a row_id, region, date, item_price, and quantity_weight — can you run the category frequencies and numeric row ordering reports on the item_price field for me?

## When to prefer this

Choose this endpoint when you have up to 200 rows of price basket observation data and need two quick, offline statistical reports — category frequency distribution and numeric row ordering — on either item_price or quantity_weight, without requiring live data lookups, predictions, or external integrations. It is cost-effective at $0.01 for both reports simultaneously. Prefer it over general analytics platforms when you want a lightweight, deterministic, locally-computed summary of structured basket records.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, region, date, item_price, quantity_weight) cause validation errors
- Invalid date format (must match YYYY-MM-DD) causes schema rejection
- Numeric values outside allowed range (-1T to +1T) cause validation errors
- Empty rows array returns no results
- Invalid field enum value (must be 'item_price' or 'quantity_weight') causes error

## How this service works

Price basket observations — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering for supplied price basket observations records (item_price, quantity_weight). 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 independent analytical reports for the supplied dataset: (1) category frequency counts showing how often each category value appears across the selected field, and (2) numeric row ordering that ranks each row by the chosen numeric field (item_price or quantity_weight). No external data or predictions are included — results are derived solely from the supplied rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "region",
     "date",
     "item_price",
     "quantity_weight"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "region": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "item_price": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "quantity_weight": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "region": "group-a",
     "row_id": "row-1",
     "item_price": 10,
     "quantity_weight": 1
    },
    {
     "date": "2026-10-02",
     "region": "group-b",
     "row_id": "row-2",
     "item_price": 20,
     "quantity_weight": 2
    },
    {
     "date": "2026-10-03",
     "region": "group-a",
     "row_id": "row-3",
     "item_price": 15,
     "quantity_weight": 3
    },
    {
     "date": "2026-10-04",
     "region": "group-b",
     "row_id": "row-4",
     "item_price": 30,
     "quantity_weight": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "item_price",
    "quantity_weight"
   ],
   "type": "string",
   "default": "item_price"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/price-basket-observations-category-frequencies-numeric-row-ordering-42f6769c/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)