# Data Catalog Coverage — Record Quality Audit & Numeric Row Ordering

> Data Catalog Coverage — Record Quality Audit & Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Audits record quality and orders rows numerically for data catalog coverage records with documented_fields and total_fields metrics, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-21-007?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-catalog-coverage-record-quality-audit-numeric-row-ordering-e2ad6094
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_9Qu6cOjHm3B3ACx_yYH_b

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 data-catalog-coverage-record-quality-audit-numeric-row-ordering-e2ad6094 -d '<json body>'
```

Example prompt: Run a record quality audit and numeric row ordering on my data catalog coverage data — I have 4 rows for groups 'finance' and 'ops' with documented_fields and total_fields values, and I want both reports using the documented_fields column.

## When to prefer this

Choose this endpoint when you need both a quality audit and numeric ordering for data catalog coverage records in a single call, without needing live data lookup, external integrations, or predictions. Ideal for data governance workflows where you supply your own catalog records and want two structured analytical outputs at low cost.

## Known failure modes

- Rows array empty or missing — minimum 1 row required
- More than 200 rows submitted — exceeds maxItems limit
- Invalid date format — must match YYYY-MM-DD pattern
- row_id missing or empty — required field per row
- field enum value not recognized — must be 'documented_fields' or 'total_fields'
- Numeric field values out of allowed range (±1,000,000,000,000)

## How this service works

Data catalog coverage — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering for supplied data catalog coverage records (documented_fields, total_fields). 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 evaluating the quality of each row's documented_fields and total_fields data, and (2) a numeric row ordering ranking the supplied rows by the selected field (documented_fields or total_fields). Results are computed locally with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "documented_fields",
     "total_fields"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "total_fields": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "documented_fields": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "total_fields": 1,
     "dataset_group": "group-a",
     "documented_fields": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "total_fields": 2,
     "dataset_group": "group-b",
     "documented_fields": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "total_fields": 3,
     "dataset_group": "group-a",
     "documented_fields": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "total_fields": 4,
     "dataset_group": "group-b",
     "documented_fields": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "documented_fields",
    "total_fields"
   ],
   "type": "string",
   "default": "documented_fields"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-catalog-coverage-record-quality-audit-numeric-row-ordering-e2ad6094/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)