# Validation Rule Results — Record Quality Audit with Missing-Value Fill

> Validation Rule Results — Record Quality Audit with 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 2026-10-14).

Audits the quality of validation rule result records and fills missing passed_rules or total_rules values using zero, mean, or median imputation.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-08-019?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/validation-rule-results-record-quality-audit-with-missing-value-fill-64bf586f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8Y50RGoJcUfrTF2wHsBbP

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 validation-rule-results-record-quality-audit-with-missing-value-fill-64bf586f -d '<json body>'
```

Example prompt: Can you run a record quality audit on these validation rule results and fill in any missing passed_rules values using median imputation? I have rows for dataset groups 'group-a' and 'group-b' from October 2026.

## When to prefer this

Choose this endpoint when you have tabular validation rule result records with missing passed_rules or total_rules values and need both a quality audit and structured missing-value imputation in a single call. Prefer it over generic imputation tools when your data is specifically structured around rule compliance metrics (passed_rules, total_rules) with dataset group and date dimensions, and you want a lightweight, per-call solution at $0.01 USDC.

## Known failure modes

- Empty rows array — rejected if fewer than 1 item is submitted
- Row missing required fields (row_id, dataset_group, date, passed_rules, total_rules) — validation error
- Date format not matching YYYY-MM-DD pattern — rejected
- More than 200 rows submitted — exceeds maxItems limit
- Invalid field enum value (not passed_rules or total_rules) — rejected
- Invalid method enum value (not zero, mean, or median) — rejected
- Payment failure — x402 payment of $0.01 USDC not processed

## How this service works

Validation rule results — Record quality audit + Explicit missing-value fill: Record quality audit + Explicit missing-value fill for supplied validation rule results records (passed_rules, total_rules). 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 audited records with missing values for the specified field (passed_rules or total_rules) filled using the chosen imputation method (zero, mean, or median), along with quality audit metadata indicating record completeness and any anomalies detected.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/validation-rule-results-record-quality-audit-with-missing-value-fill-64bf586f/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)