# Business Location Inventories — IQR Outlier Flags + Explicit Missing-Value Fill

> Business Location Inventories — IQR Outlier Flags + 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).

Runs IQR-based outlier detection and explicit missing-value imputation on up to 200 rows of business location inventory data (location_count, verified_locations), returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-05-180?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-iqr-outlier-flags-explicit-missing-e6cb48aa
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_5Ldtc3y-OEW_Hg9MhOjzg

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-explicit-missing-e6cb48aa -d '<json body>'
```

Example prompt: Can you run IQR outlier detection and median missing-value fill on my business location inventory data — I have 50 rows with location_count and verified_locations fields, and I want both reports back for the location_count field using median imputation?

## When to prefer this

Choose this endpoint when you need both IQR-based outlier detection AND missing-value imputation in a single call for business location inventory data specifically (location_count, verified_locations). It is ideal for pre-processing datasets of up to 200 rows before reporting or modeling, when you need two coordinated data quality reports cheaply ($0.01 USDC). Prefer it over general-purpose analytics when the data fits the exact schema and you want fast, offline computation with no external data dependencies.

## Known failure modes

- Fewer than 1 row supplied — minItems validation error
- More than 200 rows supplied — maxItems validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Field value outside allowed numeric range — schema validation error
- Invalid method enum value (not zero/mean/median) — enum validation error
- Invalid field enum value (not location_count/verified_locations) — enum validation error
- Missing required fields (row_id, company_group, date) — required field error

## How this service works

Business location inventories — IQR outlier flags + Explicit missing-value fill: IQR outlier flags + 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

Two analytical reports: (1) IQR outlier flag report marking rows where location_count or verified_locations fall outside the interquartile range as outliers, and (2) an explicit missing-value fill report showing which null values were imputed and what replacement values (zero, mean, or median) were used — all computed locally without 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-location-inventories-iqr-outlier-flags-explicit-missing-e6cb48aa/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)