# Validation Rule Results Analytics — Category Frequencies & Two-Measure Correlation

> Validation Rule Results Analytics — Category Frequencies & Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).

Analyzes up to 200 rows of validation rule result records, producing two reports: category frequency breakdowns by dataset group and a correlation analysis between passed_rules and total_rules.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-08-108?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-12
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/validation-rule-results-analytics-category-frequencies-two-measure-e07e390e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_dl3ATqcndBHEuDgKr8IN1

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-analytics-category-frequencies-two-measure-e07e390e -d '<json body>'
```

Example prompt: Can you run category frequency and correlation analytics on my validation rule results? I have 4 records: row-1 on 2026-10-01 for group-a with 10 passed_rules and 1 total_rules, row-2 on 2026-10-02 for group-b with 20 passed_rules and 2 total_rules, row-3 on 2026-10-03 for group-a with 15 passed_rules and 3 total_rules, and row-4 on 2026-10-04 for group-b with 30 passed_rules and 4 total_rules.

## When to prefer this

Choose this endpoint when you need both a categorical frequency breakdown and a two-measure correlation analysis on validation rule records (passed_rules, total_rules) in a single low-cost call. It is ideal for data quality monitoring workflows where you want to understand group-level distributions and metric correlations without external computation infrastructure. It handles up to 200 rows per call and costs only $0.01 USDC for both reports together.

## Known failure modes

- Submitting more than 200 rows returns an error or truncates results
- Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) cause validation failure
- Dates not matching YYYY-MM-DD pattern are rejected
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array is not accepted (minItems: 1)
- Null values in passed_rules or total_rules may affect correlation computation

## How this service works

Validation rule results — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation 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 two analytical reports for the submitted rows: (1) a category frequency report showing how often each dataset_group value appears across the dataset, and (2) a two-measure correlation report showing the statistical relationship between passed_rules and total_rules across all submitted records. Processing is local (no external lookups) and covers up to 200 rows per call.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/validation-rule-results-analytics-category-frequencies-two-measure-e07e390e/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)