# Business Directory Coverage — Record Quality Audit + String Normalisation + Date by Category Pivot

> Business Directory Coverage — Record Quality Audit + String Normalisation + Date by Category Pivot 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).

Runs three local analytical reports (record quality audit, string normalisation, and date-by-category pivot) on up to 200 rows of business directory coverage data containing listed and verified entity counts.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-14-206?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-record-quality-audit-string-normalisation-6fdbe21f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_XyA3skVdRnU21SvEygosN

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-6fdbe21f -d '<json body>'
```

Example prompt: Can you run all three analytical reports — record quality audit, string normalisation, and date-by-category pivot — on my business directory coverage data? Here are my rows: group-a had 10 listed and 1 verified on 2026-10-01, group-b had 20 listed and 2 verified on 2026-10-02, and I want the pivot focused on listed_entities.

## 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 complementary analytical reports (quality audit, string normalisation, and date-by-category pivot) in a single low-cost call. It is ideal for offline, batch-style data validation and summarisation tasks where no live lookups, external predictions, or real-time data are needed. It is not suitable if you need more than 200 rows processed, real-time directory lookups, or only one of the three reports independently.

## Known failure modes

- More than 200 rows submitted — request rejected with a row limit error
- Missing required fields (row_id, company_group, date, listed_entities, verified_entities) — validation error returned
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Invalid field enum value (not 'listed_entities' or 'verified_entities') — rejected with enum error
- Empty rows array — minimum items violation
- Numeric values outside allowed range (±1,000,000,000,000) — schema rejection

## How this service works

Business directory coverage — Record quality audit + String normalisation + Date by category pivot: Record quality audit + String normalisation + Date by category pivot 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

Returns three independent analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, and structural anomalies; (2) a string normalisation report identifying and correcting inconsistencies in text fields like company_group; and (3) a date-by-category pivot summarising the chosen metric (listed_entities or verified_entities) aggregated by date and company group. All computed locally without any external lookups or live data.

## 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-6fdbe21f/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)