# Null Coverage Record Quality Audit + Category Frequencies

> Null Coverage Record Quality Audit + Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).

Analyzes supplied null coverage records (missing_values, total_values) to produce two local analytical reports: a record quality audit and category frequency breakdown by dataset group.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-03-006?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-18
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/null-coverage-record-quality-audit-category-frequencies-17d61dd2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_wuaW-QBD0uA8v4D8MOIf-

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 null-coverage-record-quality-audit-category-frequencies-17d61dd2 -d '<json body>'
```

Example prompt: Can you audit the quality of my dataset records and break down category frequencies? I have up to 50 rows with fields like row_id, dataset_group (e.g. 'group-a', 'group-b'), date, missing_values, and total_values — run both the record quality audit and category frequency reports on them.

## When to prefer this

Choose this endpoint when you need a fast, low-cost (0.01 USDC) dual-report analysis of null coverage data for up to 200 rows, specifically combining a record-level quality audit with group-level category frequency counts. It is ideal for offline or self-contained data quality checks where no live data lookup, external enrichment, or prediction is needed — all computation is local. Prefer alternatives if you need real-time data fetching, ML-based anomaly detection, or more than 200 rows.

## Known failure modes

- Rows array is empty or exceeds 200 items — rejected with validation error
- missing_values or total_values outside the allowed numeric range — rejected
- date fields not matching YYYY-MM-DD pattern — rejected
- row_id missing or exceeding 80 characters — rejected
- Malformed JSON input — rejected with parse error

## How this service works

Null coverage — Record quality audit + Category frequencies: Record quality audit + Category frequencies for supplied null coverage records (missing_values, total_values). 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 analytical reports computed locally from the supplied rows: (1) a record quality audit summarizing null coverage per record (e.g. completeness rates, missing value ratios), and (2) category frequencies showing how records and missing values are distributed across dataset_group values. No external lookups or predictions are made; all analysis is performed on the submitted data.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/null-coverage-record-quality-audit-category-frequencies-17d61dd2/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)