# Business Location Inventories — Category Frequencies + Trailing Mean Series

> Business Location Inventories — Category Frequencies + 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 2026-10-15).

Computes category frequency distributions and trailing moving-average series for business location inventory data (location_count, verified_locations) supplied by the caller.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-05-103?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/business-location-inventories-category-frequencies-trailing-mean-series-8ced5d50
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_zauLdqYB0MCZ6n_PUo5I-

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 business-location-inventories-category-frequencies-trailing-mean-series-8ced5d50 -d '<json body>'
```

Example prompt: Can you run category frequency and trailing mean analysis on my business location inventory data? I have 4 rows across two company groups (group-a and group-b) with location_count values, and I want the trailing mean over a window of 3 for the location_count field.

## When to prefer this

Choose this endpoint when you need lightweight, offline analytical summaries (category frequencies and trailing moving averages) on up to 200 rows of business location inventory data without requiring an external data source, prediction engine, or live lookup. It is well-suited for quick diagnostic reports on location_count or verified_locations grouped by company_group, especially when cost efficiency matters ($0.01 USDC for both reports simultaneously).

## Known failure modes

- Exceeds 200-row limit — request rejected
- Invalid date format (must be YYYY-MM-DD) — validation error
- Window size out of range (must be 2–200) — validation error
- Unknown field value (must be location_count or verified_locations) — validation error
- Missing required row fields (row_id, company_group, date, location_count, verified_locations) — schema error
- Empty rows array — no results returned

## How this service works

Business location inventories — Category frequencies + Trailing mean series: Category frequencies + Trailing mean series for supplied business location inventories records (location_count, verified_locations). 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: (1) category frequency counts showing how often each company_group value appears in the supplied rows, and (2) a trailing moving-average series computed over the chosen field (location_count or verified_locations) using the specified window size — both derived entirely from caller-supplied data, up to 200 rows.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-location-inventories-category-frequencies-trailing-mean-series-8ced5d50/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)