# Price Basket Observations — Numeric Row Ordering + Trailing Mean Series

> Price Basket Observations — Numeric Row Ordering + 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 2026-10-25).

Computes numeric row ordering and a trailing mean series for up to 200 price basket observation records containing item price and quantity weight fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-07-115?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-numeric-row-ordering-trailing-mean-series-4a0b33f4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_7EoFoJUuXLJ2YYkjqU-5r

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-numeric-row-ordering-trailing-mean-series-4a0b33f4 -d '<json body>'
```

Example prompt: Rank these price basket rows numerically by item_price and also compute a trailing mean series with a window of 3 — I have 4 records: row-1 group-a 2026-10-01 price 10 weight 1, row-2 group-b 2026-10-02 price 20 weight 2, row-3 group-a 2026-10-03 price 15 weight 3, row-4 group-b 2026-10-04 price 30 weight 4.

## When to prefer this

Choose this endpoint when you need two complementary analytical views of price basket observation data in a single call: numeric row ordering (ranking) and a trailing/rolling mean series. It is ideal for structured tabular data with item_price and quantity_weight fields and up to 200 rows. Prefer it over general analytics tools when you want a lightweight, cost-effective ($0.01 USDC) offline computation with no external data dependencies or live predictions.

## Known failure modes

- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — exceeds maximum limit
- Window size larger than the number of rows — trailing mean may produce sparse or no results
- Invalid date format (must match YYYY-MM-DD pattern)
- Missing required fields row_id, region, date, item_price, or quantity_weight
- item_price or quantity_weight values outside allowed numeric range
- Payment not completed — x402 payment of 0.01 USDC required per call

## How this service works

Price basket observations — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean series 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 analytical reports: (1) a numeric row ordering report ranking the supplied rows by the selected field (item_price or quantity_weight), and (2) a trailing mean series report showing rolling averages computed over the specified window size — both derived entirely 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",
     "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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/price-basket-observations-numeric-row-ordering-trailing-mean-series-4a0b33f4/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)