# Business Directory Coverage — Record Quality Audit + String Normalisation + Keyed Dataset Comparison

> Business Directory Coverage — Record Quality Audit + String Normalisation + Keyed Dataset Comparison 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 analytical reports (record quality audit, string normalisation, and keyed dataset comparison) 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-14-207?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-f494fda9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lX-pce-GBs-LsF4tKeE6p

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-f494fda9 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and keyed dataset comparison on these two batches of business directory coverage data I have — one with our listed and verified entity counts from last month and one from this month, up to 200 rows each?

## When to prefer this

Choose this endpoint when you need offline, deterministic data quality analysis on business directory coverage records without any live lookup or external API call. It is ideal for pre-ingestion validation, string standardisation pipelines, and diff-style comparison between two snapshots of the same dataset. At $0.01 USDC for three reports on up to 200 rows it is cost-effective for batch auditing workflows.

## Known failure modes

- Rows array exceeds 200 items — request rejected
- Missing required fields (row_id, company_group, date, listed_entities, verified_entities) on any row — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- listed_entities or verified_entities values outside allowed numeric range — schema rejection
- Empty rows array (minItems: 1 not met) — request rejected

## How this service works

Business directory coverage — Record quality audit + String normalisation + Keyed dataset comparison: Record quality audit + String normalisation + Keyed dataset comparison 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 returned for the supplied rows: (1) a record quality audit highlighting missing, null, or out-of-range values; (2) a string normalisation report standardising company_group and other string fields; and (3) a keyed dataset comparison report showing row-level differences between the primary and comparison datasets based on shared keys. All processing is local 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}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "company_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "listed_entities": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "verified_entities": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "company_group": "group-a",
     "listed_entities": 10,
     "verified_entities": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "company_group": "group-b",
     "listed_entities": 20,
     "verified_entities": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "company_group": "group-a",
     "listed_entities": 15,
     "verified_entities": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "company_group": "group-b",
     "listed_entities": 30,
     "verified_entities": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "listed_entities",
     "verified_entities"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "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
     }
    }
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-directory-coverage-record-quality-audit-string-normalisation-f494fda9/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)
