# Business Directory Coverage — Record Quality Audit + String Normalisation + Two-Measure Correlation

> Business Directory Coverage — Record Quality Audit + String Normalisation + Two-Measure Correlation 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).

Runs three local analytical reports (record quality audit, string normalisation, and two-measure correlation) on up to 200 rows of business directory coverage data containing listed_entities and verified_entities fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-14-204?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-82035636
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hFXE3VQqsteroRxc707w6

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-82035636 -d '<json body>'
```

Example prompt: Can you audit the quality, normalise the strings, and compute the correlation between listed_entities and verified_entities for these 4 rows of business directory coverage data: row-1 (group-a, 2026-10-01, listed=10, verified=1), row-2 (group-b, 2026-10-02, listed=20, verified=2), row-3 (group-a, 2026-10-03, listed=15, verified=3), row-4 (group-b, 2026-10-04, listed=30, verified=4)?

## When to prefer this

Choose this endpoint when you have up to 200 rows of business directory coverage data with listed and verified entity counts and need three bundled analytical reports (quality audit, string normalisation, correlation) in a single low-cost call. Ideal for pre-export data checks, directory reconciliation workflows, or validating ingested business registry data without requiring live lookups or external data enrichment.

## Known failure modes

- Exceeding 200 rows causes rejection — batch must be split
- Missing required fields (row_id, date, listed_entities, verified_entities) causes validation failure
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Null values in listed_entities or verified_entities may affect correlation computation
- Empty rows array returns an error

## How this service works

Business directory coverage — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation 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 submitted rows: (1) a record quality audit identifying completeness, validity, and consistency issues; (2) a string normalisation report standardising text fields like company_group; and (3) a two-measure correlation report quantifying the statistical relationship between listed_entities and verified_entities. All analysis is performed 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",
     "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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-directory-coverage-record-quality-audit-string-normalisation-82035636/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)