# Business Location Inventories — IQR Outlier Flags + Date by Category Pivot

> Business Location Inventories — IQR Outlier Flags + Date by Category Pivot 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).

Runs two local analytical reports on business location inventory data: IQR-based outlier detection and a date-by-category pivot table, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-05-178?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-iqr-outlier-flags-date-by-category-pivot-bcbe22be
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_RLkRH430DV1cyjlRcP1wM

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-iqr-outlier-flags-date-by-category-pivot-bcbe22be -d '<json body>'
```

Example prompt: Can you run IQR outlier detection and a date-by-category pivot on my business location inventory data? I have rows with company_group, date, location_count, and verified_locations — analyze the location_count field across up to 200 rows.

## When to prefer this

Choose this endpoint when you need fast, local statistical analysis (IQR outlier detection and pivot tables) on business location inventory records without sending data to external live-lookup or ML services. Ideal for batches of up to 200 rows where you want two complementary reports — anomaly flags and categorical summaries — in a single low-cost call ($0.01 USDC).

## Known failure modes

- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, location_count, verified_locations) cause validation errors
- Date field not matching YYYY-MM-DD pattern returns a format error
- All null values in the selected field prevent IQR computation
- Fewer than 4 rows may produce unreliable IQR bounds

## How this service works

Business location inventories — IQR outlier flags + Date by category pivot: IQR outlier flags + Date by category pivot 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 independent analytical reports: (1) IQR outlier flags identifying which rows have location_count or verified_locations values outside the interquartile range, and (2) a date-by-category pivot table summarizing the selected metric across company groups and dates. Both reports are computed locally against the supplied data with no external lookups.

## 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-iqr-outlier-flags-date-by-category-pivot-bcbe22be/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)