# Metadata Completeness Record Quality Audit and Missing-Value Fill

> Metadata Completeness 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 2026-10-29).

Audits metadata completeness records for quality issues and fills missing values in present_fields or expected_fields columns using zero, mean, or median imputation, for up to 200 rows with 2 independent reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-05-019?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-29
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/metadata-completeness-record-quality-audit-and-missing-value-fill-4b83b446
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_DFusuipf_f8RYIGiTJijp

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 metadata-completeness-record-quality-audit-and-missing-value-fill-4b83b446 -d '<json body>'
```

Example prompt: Can you audit my metadata completeness records for quality issues and fill in any missing present_fields values using median imputation? I have rows with row_id, site_group, date, present_fields, and expected_fields — up to 50 rows across two site groups.

## When to prefer this

Choose this endpoint when you need a combined record quality audit plus missing-value imputation for metadata completeness data (present_fields and expected_fields) in a single low-cost call. It is best suited for small-to-medium batches (up to 200 rows) where you want two independent local analytical reports without any external lookups, live data enrichment, or predictions. Prefer alternatives if you need outlier detection, deduplication, string normalization, or distribution analysis beyond completeness auditing.

## Known failure modes

- Empty rows array or missing required fields (row_id, date, present_fields, expected_fields) causes validation error
- More than 200 rows submitted exceeds the maximum batch size
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Invalid method enum value (not zero, mean, or median) causes rejection
- Invalid field enum value (not present_fields or expected_fields) causes rejection
- Payment of 0.01 USDC not provided causes 402 response

## How this service works

Metadata completeness — Record quality audit + Explicit missing-value fill: Record quality audit + Explicit missing-value fill for supplied metadata completeness records (present_fields, expected_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 identifying issues such as missing, null, or anomalous values in the completeness records; and (2) an explicit missing-value fill report showing imputed values for the chosen field (present_fields or expected_fields) using the selected method (zero, mean, or median). No external lookups or predictions are made — all analysis is local.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/metadata-completeness-record-quality-audit-and-missing-value-fill-4b83b446/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)