# Data Validation Results – Explicit Missing-Value Fill

> Data Validation Results – Explicit 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 2026-10-19).

Fills missing numeric values in data validation result records (checked_records or failed_records) using a chosen imputation method (zero, mean, or median).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ar-analytics-validation-results-fill-missing?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-validation-results-explicit-missing-value-fill-a1b95a70
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_wlHuamQ7U5zD0SC3eVRwI

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-validation-results-explicit-missing-value-fill-a1b95a70 -d '<json body>'
```

Example prompt: I have up to 200 rows of data validation results with some null checked_records values — can you fill those missing values using median imputation across my rule-grouped date series?

## When to prefer this

Choose this endpoint when you have tabular validation result records (up to 200 rows) with null numeric fields and need a fast, local imputation (zero, mean, or median) without any external enrichment, ML models, or forecasting. Ideal for lightweight data cleaning steps in QA pipelines or audit preparation workflows where a simple statistical fill suffices.

## Known failure modes

- Rows array empty or missing — returns validation error
- Row missing required fields (row_id, rule, date, checked_records, failed_records) — returns schema error
- More than 200 rows submitted — exceeds maxItems limit, returns error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Invalid method or field enum value — returns schema validation error
- Payment not fulfilled — x402 payment required response

## How this service works

Data validation results - Explicit missing-value fill: Explicit missing-value fill for Data validation results. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded explicit missing-value fill report.

## Output

Returns the submitted validation result rows with missing values in the specified field (checked_records or failed_records) replaced according to the chosen imputation method (zero, mean, or median), along with a bounded descriptive analytics report. No external enrichment or forecasting is performed.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-validation-results-explicit-missing-value-fill-a1b95a70/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)