# Business Directory Coverage Audit: Record Quality, String Normalisation & Adjacent Row Changes

> Business Directory Coverage Audit: Record Quality, String Normalisation & Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-20).

Audits business directory coverage records (listed_entities, verified_entities) for record quality, string normalisation issues, and adjacent row changes — producing 3 independent analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-14-200?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-20
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/business-directory-coverage-audit-record-quality-string-normalisation-22988774
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_IoF82_FWhvjcaumhER6gs

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-audit-record-quality-string-normalisation-22988774 -d '<json body>'
```

Example prompt: Can you run the business directory coverage audit on my records — I have rows for company groups 'group-a' and 'group-b' from 2026-10-01 to 2026-10-04 with listed_entities and verified_entities counts — I want all three reports: record quality, string normalisation, and adjacent row changes for the listed_entities field?

## When to prefer this

Choose this endpoint when you need a bundled, cost-efficient ($0.01 USDC) analytical pass over up to 200 business directory coverage rows without any live data lookups or external dependencies. It is ideal when you already have the directory data locally and need three simultaneous diagnostic views — quality audit, string normalisation, and row-to-row delta analysis — in a single API call. Prefer it over single-report alternatives when all three analytical dimensions are relevant to your data pipeline or QA workflow.

## Known failure modes

- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, date, company_group, listed_entities, or verified_entities) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejected
- Empty rows array — minItems constraint violation
- Invalid field enum value (not 'listed_entities' or 'verified_entities') — schema error

## How this service works

Business directory coverage — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes 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 covering: (1) record quality audit flagging malformed, null, or out-of-range values in the selected field; (2) string normalisation analysis identifying inconsistent formatting in string fields such as company_group; and (3) adjacent row changes report showing value differences between consecutive rows. All reports are derived from 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",
     "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-audit-record-quality-string-normalisation-22988774/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)