# Price Basket Observations — String Normalisation + Trailing Mean Series

> Price Basket Observations — String Normalisation + 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 2026-10-23).

Runs string normalisation and trailing mean series analysis on supplied price basket observation records (item_price, quantity_weight) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-07-028?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/price-basket-observations-string-normalisation-trailing-mean-series-b0a4b5f9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hmb8TiLbWQNRRVcZQKnQi

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-string-normalisation-trailing-mean-series-b0a4b5f9 -d '<json body>'
```

Example prompt: Can you run string normalisation and a trailing mean series (window of 3) on my price basket observations — here are 5 rows with item_price values, targeting the item_price field: row-1 group-a 2026-10-01 price=10 qty=1, row-2 group-b 2026-10-02 price=20 qty=2, row-3 group-a 2026-10-03 price=15 qty=3, row-4 group-b 2026-10-04 price=30 qty=4, row-5 group-a 2026-10-05 price=25 qty=5?

## When to prefer this

Choose this endpoint when you need to both clean/normalise string fields and compute a windowed trailing mean series on price basket observation data in a single low-cost call. Ideal for economics and retail analytics workflows requiring lightweight, offline analytical transformations on up to 200 rows without any live data lookup, prediction, or external side effects.

## Known failure modes

- Exceeds 200 row limit — request rejected
- Invalid date format (must be YYYY-MM-DD) — validation error
- Missing required fields (row_id, region, date) — schema error
- Window size outside range 2–200 — validation error
- Field value not one of ['item_price','quantity_weight'] — enum error
- Null values in numeric fields may affect trailing mean computation

## How this service works

Price basket observations — String normalisation + Trailing mean series: String normalisation + 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 sharing local engines: (1) a string-normalised version of the supplied price basket observation records, and (2) a trailing mean series computed over the selected numeric field (item_price or quantity_weight) using the specified window size, covering up to 200 input 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/price-basket-observations-string-normalisation-trailing-mean-series-b0a4b5f9/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)