# Business Location Inventories — Record Quality Audit + String Normalisation + IQR Outlier Flags

> Business Location Inventories — Record Quality Audit + String Normalisation + IQR Outlier Flags 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 three analytical reports on up to 200 rows of business location inventory data: a record quality audit, string normalisation, and IQR-based outlier flagging for location_count or verified_locations fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-05-203?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-record-quality-audit-string-fd8155eb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_DAAioZ5zhRgMnoEgXu4YQ

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-record-quality-audit-string-fd8155eb -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and IQR outlier check on my business location inventory data — here are 50 rows with row_id, company_group, date, location_count, and verified_locations — please analyse the location_count field?

## When to prefer this

Choose this endpoint when you have a batch of up to 200 business location inventory rows and need three simultaneous data quality operations — quality auditing, string normalisation, and statistical outlier detection — in a single low-cost call. Prefer it over manual data cleaning pipelines or general-purpose analytics tools when your data specifically contains location_count and verified_locations fields organised by company_group and date, and you want standardised reports without any live lookup or external data enrichment.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, date, location_count, verified_locations) cause row-level validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Numeric values outside allowed range cause rejection
- Too few rows to compute meaningful IQR statistics may produce unreliable outlier flags

## How this service works

Business location inventories — Record quality audit + String normalisation + IQR outlier flags: Record quality audit + String normalisation + IQR outlier flags for supplied business location inventories records (location_count, verified_locations). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Three independent analytical reports: (1) a record quality audit highlighting missing, malformed, or inconsistent values; (2) normalised versions of string fields such as company_group; (3) IQR-based outlier flags identifying rows where location_count or verified_locations deviate significantly from the interquartile range. All computed locally 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-record-quality-audit-string-fd8155eb/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)