# Bundle Sales String Normalisation + Trailing Mean Series

> Bundle Sales 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 2026-10-26).

Runs two local analytical reports on bundle sales data: string normalisation and trailing mean series for up to 200 rows of bundles_sold or component_units data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-retail-15-028?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/bundle-sales-string-normalisation-trailing-mean-series-626c8e63
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_wHhhAkKvLOIqd2YsEibs2

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 bundle-sales-string-normalisation-trailing-mean-series-626c8e63 -d '<json body>'
```

Example prompt: I have 4 rows of bundle sales data for two store groups — group-a and group-b — with bundles_sold values of 10, 20, 15, and 30 on dates 2026-10-01 through 2026-10-04; can you run the string normalisation and trailing mean series reports on the bundles_sold field using a window of 2?

## When to prefer this

Choose this endpoint when you need both string normalisation and a trailing mean series computed together on bundle sales records (bundles_sold, component_units) in a single low-cost call. Ideal for retail analytics pipelines processing up to 200 rows of bundle data where two bundled reports at $0.01 USDC offer better value than separate calls. Not suitable for live lookups, predictions, or datasets exceeding 200 rows.

## Known failure modes

- Fewer than 1 row or more than 200 rows submitted — validation error
- Window size smaller than 2 or larger than 200 — validation error
- Invalid date format (not YYYY-MM-DD) — schema rejection
- Missing required fields (row_id, store_group, date, bundles_sold, component_units) — request rejected
- Field value not one of 'bundles_sold' or 'component_units' — enum validation failure
- Payment not included or insufficient — 402 Payment Required

## How this service works

Bundle sales — String normalisation + Trailing mean series: String normalisation + Trailing mean series for supplied bundle sales records (bundles_sold, component_units). 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 for the supplied bundle sales rows: (1) a string normalisation report for the selected field across all rows, and (2) a trailing mean series computed over the specified rolling window for each row, both generated using local analytical engines with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/bundle-sales-string-normalisation-trailing-mean-series-626c8e63/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)