# Data Validation Results - Category Frequencies

> Data Validation Results - Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).

Computes category (rule) frequency counts from a batch of data validation records, returning a descriptive breakdown of how often each rule/category appears across supplied validation results.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ar-analytics-validation-results-category-counts?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-21
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-validation-results-category-frequencies-093b60ce
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Jg8NnfQ9wilISsK_71iFF

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-category-frequencies-093b60ce -d '<json body>'
```

Example prompt: Can you give me a category frequency breakdown of these validation results — I have up to 200 records, each with a row_id, a rule name like 'null-check' or 'range-check', a date, and counts for checked and failed records, and I want to know how often each rule category appears overall?

## When to prefer this

Choose this endpoint when you need a fast, cheap ($0.01 USDC) local frequency count of validation rule categories from a small batch of validation records (up to 200 rows) without any external enrichment. It is ideal for summarizing data quality audit logs, identifying dominant validation rules, or generating a descriptive category breakdown as part of a larger data governance workflow. Prefer alternatives if you need correlation analysis, outlier detection, elasticity measures, or forecasting.

## Known failure modes

- Empty rows array (minItems:1 violated) returns validation error
- More than 200 rows submitted (maxItems:200 violated) returns rejection
- Malformed date strings not matching YYYY-MM-DD pattern cause schema validation failure
- Missing required fields (row_id, rule, date, checked_records, failed_records) cause request rejection
- Numeric fields outside allowed range cause validation error
- Payment of 0.01 USDC not completed returns 402 Payment Required

## How this service works

Data validation results - Category frequencies: Category frequencies 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 category frequencies report.

## Output

Returns a bounded category frequencies report listing how many times each unique rule/category label appears across the supplied validation records (up to 200 rows). The output is a local descriptive analytics summary — no enrichment, forecasting, or external data is added.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-validation-results-category-frequencies-093b60ce/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)