# Null Coverage Record Quality Audit and Missing Value Fill

> Null Coverage Record Quality Audit and Missing Value Fill 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).

Audits null coverage in row data and fills missing values (missing_values or total_values fields) using zero, mean, or median imputation for up to 200 rows, producing two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-03-019?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-and-missing-value-fill-b87d1cdc
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_qffftnVJQjE_b0YmlmSpG

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-and-missing-value-fill-b87d1cdc -d '<json body>'
```

Example prompt: Can you audit the null coverage quality and fill in missing values for my dataset rows using median imputation on the missing_values field? I have 4 rows: row-1 for group-a on 2026-10-01 with 10 missing out of 1 total, row-2 for group-b on 2026-10-02 with 20 missing out of 2 total, row-3 for group-a on 2026-10-03 with 15 missing out of 3 total, and row-4 for group-b on 2026-10-04 with 30 missing out of 4 total.

## When to prefer this

Choose this endpoint when you need both a null coverage quality audit and missing value imputation in a single paid call for up to 200 rows of structured dataset records. Ideal for offline or batch data quality workflows where no live data lookup or external prediction is required, and where two bundled analytical reports (audit + fill) are needed at low cost ($0.01 USDC).

## Known failure modes

- Rows array is empty or missing — validation error
- Row count exceeds 200 — request rejected
- missing_values or total_values out of allowed numeric range — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Unsupported method enum value — validation error
- Unsupported field enum value — validation error
- Payment not completed — 402 response blocking execution

## How this service works

Null coverage — Record quality audit + Explicit missing-value fill: Record quality audit + Explicit missing-value fill 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

Returns two independent analytical reports: (1) a record quality audit covering null coverage statistics across the supplied rows, and (2) an explicit missing-value fill report showing imputed values for the specified field using the chosen method (zero, mean, or median). All computation is performed 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",
     "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
  },
  "field": {
   "enum": [
    "missing_values",
    "total_values"
   ],
   "type": "string",
   "default": "missing_values"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/null-coverage-record-quality-audit-and-missing-value-fill-b87d1cdc/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)