# Data Catalog Coverage — Record Quality Audit + Adjacent Row Changes

> Data Catalog 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 2026-10-23).

Runs two local analytical reports on data catalog coverage rows: a record quality audit and adjacent row change detection, for up to 200 rows of documented_fields/total_fields data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-21-011?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-adjacent-row-changes-dc30eb55
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8Fcsq1PX9lqZOWpPwdXU4

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-adjacent-row-changes-dc30eb55 -d '<json body>'
```

Example prompt: Can you run a record quality audit and adjacent row change report on my data catalog coverage rows? Here are up to 200 rows with row_id, dataset_group, date, documented_fields, and total_fields — I want both reports run against the documented_fields column.

## When to prefer this

Choose this endpoint when you need two simultaneous analytical reports — record quality audit plus adjacent row change detection — on data catalog coverage records with documented_fields and total_fields metrics, without requiring live data lookups or external integrations. It is ideal for lightweight, self-contained data quality checks within a data governance or catalog management workflow, especially when working with up to 200 rows of catalog data.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, dataset_group, date, documented_fields, or total_fields) cause row-level errors
- Invalid date format (not YYYY-MM-DD) triggers validation failure
- field enum value not one of 'documented_fields' or 'total_fields' causes error
- Null numeric values may reduce quality of adjacent change detection
- Payment of 0.01 USDC not included — x402 payment required before processing

## How this service works

Data catalog coverage — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes 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

Returns two independent analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed entries in the supplied rows; and (2) an adjacent row change analysis showing how documented_fields or total_fields values shift between consecutive rows, all computed locally without 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-adjacent-row-changes-dc30eb55/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)