# Business Location Inventories — Grouped Numeric Summary + Explicit Missing-Value Fill

> Business Location Inventories — Grouped Numeric Summary + Explicit Missing-Value Fill 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 a grouped numeric summary and fills missing values for business location inventory data (location_count, verified_locations) across up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-05-099?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-explicit-16d8146b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_vxiQSevQz_JRY9sJWaNSp

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-explicit-16d8146b -d '<json body>'
```

Example prompt: I have a dataset of business location inventory rows with company_group, date, location_count, and verified_locations — can you run a grouped numeric summary and fill any missing location_count values using median imputation? Here are up to 50 rows across groups like 'group-a' and 'group-b'.

## When to prefer this

Choose this endpoint when you need both a grouped statistical summary AND missing-value imputation for business location inventory data in a single call. Ideal for pre-analysis data cleaning pipelines where location_count or verified_locations fields may have gaps, and you need per-group aggregates alongside a filled dataset. Best suited for offline/batch analytical workflows on supplied data (up to 200 rows) rather than live lookups or external data enrichment.

## Known failure modes

- Rows array is empty or missing — returns validation error
- More than 200 rows submitted — rejected with max items error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Unknown fill method or field enum value — rejected
- All values in selected field are null — mean/median fill may return zero or undefined
- Payment of 0.01 USDC not provided or rejected — 402 Payment Required

## How this service works

Business location inventories — Grouped numeric summary + Explicit missing-value fill: Grouped numeric summary + Explicit missing-value fill 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 reports: (1) a grouped numeric summary showing aggregate statistics (e.g. count, sum, mean, min, max) for the selected numeric field (location_count or verified_locations) broken down by company_group; and (2) the same dataset with missing values in the selected field explicitly filled using the chosen method (zero, mean, or median). Both reports cover the supplied rows (up to 200).

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-location-inventories-grouped-numeric-summary-explicit-16d8146b/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)