# Data Catalog Coverage — Record Quality Audit & Base-100 Series

> Data Catalog Coverage — Record Quality Audit & Base-100 Series 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 analytical reports (record quality audit and base-100 index series) on supplied data catalog coverage rows, analyzing documented_fields vs total_fields ratios for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-21-012?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-base-100-series-9cadb607
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_oS2Tp3ZrVpl0dPxoOqVMh

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-base-100-series-9cadb607 -d '<json body>'
```

Example prompt: Can you run a record quality audit and base-100 series on my data catalog coverage data? I have 4 rows — row-1 through row-4 across groups alpha and beta from October 2026, with documented_fields between 10 and 30 and total_fields between 1 and 4. Use documented_fields as the target field and row index 0 as the base.

## When to prefer this

Choose this endpoint when you have tabular data catalog coverage records with documented_fields and total_fields counts and need both a quality audit and a normalized base-100 trend series in a single call, without requiring external lookups or live data. It is especially suitable for batch analysis of up to 200 rows in data governance workflows where you want two complementary analytical views — absolute quality scoring and relative indexed trends — computed locally and cheaply at $0.01 per call.

## Known failure modes

- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — hard limit of 200 rows per call
- Invalid date format — must match YYYY-MM-DD pattern
- Missing required fields (row_id, dataset_group, date, documented_fields, total_fields) on any row
- base_index out of range — must be 0–199 and within the actual row count
- Numeric fields outside allowed range (±1,000,000,000,000)
- Invalid field enum value — must be 'documented_fields' or 'total_fields'
- Payment not included or insufficient — requires 0.01 USDC via x402

## How this service works

Data catalog coverage — Record quality audit + Base-100 series: Record quality audit + Base-100 series 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 identifying coverage issues and anomalies across the supplied rows based on documented_fields and total_fields, and (2) a base-100 normalized index series anchored at the specified base row, showing relative field documentation coverage over time. No external data is fetched; all analysis uses local analytical engines on the supplied rows only.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-catalog-coverage-record-quality-audit-base-100-series-9cadb607/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)