# Data Validation Results – Date by Category Pivot

> Data Validation Results – Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).

Pivots data validation results (checked and failed records) by date and rule category, producing a cross-tabulated summary report for up to 200 input rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ar-analytics-validation-results-pivot?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-17
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-validation-results-date-by-category-pivot-e64be0b4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_jXZ0zvtIj2VTJgUkDWyXc

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-date-by-category-pivot-e64be0b4 -d '<json body>'
```

Example prompt: Can you pivot my data validation results by date and rule category? I have records with dates, rule names like 'null-check' and 'range-check', plus checked_records and failed_records counts — I want to see the failed_records broken down in a date-by-category table.

## When to prefer this

Choose this endpoint when you have tabular data validation results with date and rule/category dimensions and need a quick local pivot summary without any external enrichment, forecasting, or machine learning. It is ideal for data quality dashboards, pipeline monitoring, and governance reporting workflows where a cross-tab of failures by date and rule is the required output format. Best suited for batch sizes up to 200 rows at very low cost ($0.01 per call).

## Known failure modes

- Input array is empty or missing (minItems:1 violation)
- Input exceeds 200 rows (maxItems:200 violation)
- Date fields do not match required YYYY-MM-DD pattern
- row_id missing or empty string (minLength:1 violation)
- Numeric fields out of allowed range (±1,000,000,000,000)
- Invalid field enum value (must be 'checked_records' or 'failed_records')
- Payment of 0.01 USDC not fulfilled — 402 Payment Required response

## How this service works

Data validation results - Date by category pivot: Date by category pivot 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 date by category pivot report.

## Output

A pivot table report where rows represent dates and columns represent rule/category names, with each cell containing the aggregated value of the selected field (checked_records or failed_records). Covers up to 200 input rows with purely local descriptive analytics — no enrichment or forecasting.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-validation-results-date-by-category-pivot-e64be0b4/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)