# Business Location Inventories — Grouped Numeric Summary & Weighted Mean

> Business Location Inventories — Grouped Numeric Summary & Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Computes grouped numeric summary statistics and secondary-measure weighted mean for up to 200 business location inventory records, returning two analytical reports in a single call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-05-096?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/business-location-inventories-grouped-numeric-summary-weighted-mean-1c3f0c2b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_O_zENiAmx6SZ-Vj4G-HCU

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-grouped-numeric-summary-weighted-mean-1c3f0c2b -d '<json body>'
```

Example prompt: Can you run a grouped numeric summary and weighted mean on my business location inventory data? I have rows for group-a and group-b with location_count values and verified_locations — group on company_group and use location_count as the primary field.

## When to prefer this

Choose this endpoint when you have tabular business location inventory data (up to 200 rows) that you want to summarize and aggregate by company group without any live data lookup or external enrichment. It is ideal for offline batch analytics where you supply your own rows and need both grouped descriptive statistics and a weighted mean in a single low-cost call ($0.01 USDC for both reports).

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, company_group, date, location_count, or verified_locations) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null values in numeric fields may affect weighted mean computation
- Field enum value not recognized — defaults or error depending on implementation

## How this service works

Business location inventories — Grouped numeric summary + Secondary-measure weighted mean: Grouped numeric summary + Secondary-measure weighted mean 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

Returns two analytical reports: (1) a grouped numeric summary (e.g. count, min, max, mean, median, std dev) of the primary measure (location_count or verified_locations) segmented by company_group, and (2) a secondary-measure weighted mean, both computed locally from the supplied rows without any external data lookup.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-location-inventories-grouped-numeric-summary-weighted-mean-1c3f0c2b/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)
