# Business Directory Coverage — Record Quality Audit + String Normalisation + IQR Outlier Flags

> Business Directory Coverage — 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 2026-10-16).

Audits record quality, normalises strings, and flags IQR-based outliers in business directory coverage data (listed_entities, verified_entities) for up to 200 rows across 3 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-14-203?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/business-directory-coverage-record-quality-audit-string-normalisation-76449deb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_oje6e-zIWQ_z8m0C42Pr3

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-directory-coverage-record-quality-audit-string-normalisation-76449deb -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and IQR outlier check on my business directory coverage data? Here are my rows with listed_entities and verified_entities counts by company group and date — I want all 3 reports for the listed_entities field.

## When to prefer this

Choose this endpoint when you need a combined data quality workflow — record auditing, string normalisation, AND IQR-based outlier detection — applied specifically to business directory coverage data (listed_entities, verified_entities) in a single low-cost call. It is ideal for batch validation of up to 200 rows without needing any live lookups, external enrichment, or predictions. Prefer alternatives if you need only one of the three report types, need more than 200 rows, or require live data enrichment.

## Known failure modes

- Rows array exceeds 200 items — request rejected
- Missing required fields (row_id, date, listed_entities, verified_entities) in any row — validation error
- Date field does not match YYYY-MM-DD pattern — schema error
- Invalid field enum value (must be listed_entities or verified_entities) — schema error
- Empty rows array — minimum 1 item required
- Null values in both numeric fields may reduce outlier detection accuracy

## How this service works

Business directory coverage — Record quality audit + String normalisation + IQR outlier flags: Record quality audit + String normalisation + IQR outlier flags for supplied business directory coverage records (listed_entities, verified_entities). 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 for the supplied rows: (1) a record quality audit highlighting completeness and validity issues, (2) a string normalisation report cleaning company group and other text fields, and (3) an IQR outlier flagging report identifying statistically anomalous rows in the selected numeric field (listed_entities or verified_entities). No external lookups or live data are involved.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "listed_entities",
     "verified_entities"
    ],
    "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
     },
     "listed_entities": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "verified_entities": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "company_group": "group-a",
     "listed_entities": 10,
     "verified_entities": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "company_group": "group-b",
     "listed_entities": 20,
     "verified_entities": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "company_group": "group-a",
     "listed_entities": 15,
     "verified_entities": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "company_group": "group-b",
     "listed_entities": 30,
     "verified_entities": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "listed_entities",
    "verified_entities"
   ],
   "type": "string",
   "default": "listed_entities"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-directory-coverage-record-quality-audit-string-normalisation-76449deb/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)