# Business Directory Coverage — Record Quality Audit + Adjacent Row Changes

> Business Directory Coverage — Record Quality Audit + 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 2026-10-16).

Audits record quality and computes adjacent-row changes for business directory coverage data (listed_entities, verified_entities) across up to 200 rows, producing 2 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-14-011?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-adjacent-row-changes-7bd93f05
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_xBMCsF1CMMepfNJ_VmHub

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-adjacent-row-changes-7bd93f05 -d '<json body>'
```

Example prompt: Can you run a record quality audit and adjacent row changes report on my business directory coverage data? I have rows for two company groups — group-a and group-b — with listed_entities and verified_entities counts from 2026-10-01 to 2026-10-04, and I want to analyze the listed_entities field.

## When to prefer this

Choose this endpoint when you need offline, local analytical processing of business directory coverage metrics — specifically record quality auditing and adjacent-row change detection — without any live lookups or external API calls. It's ideal for pre-publish QA of directory datasets, catching data entry errors, and getting two structured reports in a single low-cost call ($0.01 USDC). Prefer it over general-purpose analytics when your data fits the listed_entities/verified_entities schema and you want deterministic, reproducible audits on up to 200 rows.

## Known failure modes

- More than 200 rows submitted — exceeds maxItems limit, request rejected
- Missing required fields (row_id, date, company_group) — validation error returned
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Values outside allowed numeric range (±1,000,000,000,000) — rejected
- Invalid field enum value (not listed_entities or verified_entities) — schema error
- Empty rows array — minItems:1 not satisfied

## How this service works

Business directory coverage — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes for supplied business directory coverage records (listed_entities, verified_entities). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Two independent analytical reports: (1) a record quality audit identifying issues such as nulls, out-of-range values, or inconsistencies in the supplied listed_entities and verified_entities columns; and (2) an adjacent row changes report showing sequential deltas between consecutive rows for the selected field, scoped to the supplied company groups and dates. 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-adjacent-row-changes-7bd93f05/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)