# Validation Rule Results Analytics: Numeric Row Ordering + Two-Measure Correlation

> Validation Rule Results Analytics: Numeric Row Ordering + 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 supplied validation rule result records (passed_rules, total_rules) by computing numeric row ordering and two-measure correlation across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-08-120?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-numeric-row-ordering-two-measure-c1801f45
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap__wISCbK20xDrB9CUXV7i-

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-numeric-row-ordering-two-measure-c1801f45 -d '<json body>'
```

Example prompt: Analyze my validation rule results — I have 150 rows with passed_rules and total_rules values across two dataset groups, and I want both numeric row ordering and a two-measure correlation report on the passed_rules field.

## When to prefer this

Choose this endpoint when you have tabular validation rule result data (passed_rules and total_rules per row) and need both a ranked ordering of rows by a numeric measure and a statistical correlation between the two measures — all computed locally on your supplied data with no external API calls, predictions, or side effects. Ideal for data quality teams auditing rule compliance metrics across dataset groups and date ranges within a 200-row batch.

## Known failure modes

- Exceeding 200 row limit returns an error
- Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) cause validation failure
- Invalid date format (non-YYYY-MM-DD) triggers schema rejection
- Null values in both measure fields may degrade correlation computation
- Providing fewer than 2 rows may yield degenerate or meaningless correlation results

## How this service works

Validation rule results — Numeric row ordering + Two-measure correlation: Numeric row ordering + 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 independent analytical reports: (1) a numeric row ordering report ranking the supplied rows by the selected measure, and (2) a two-measure correlation report quantifying the statistical relationship between passed_rules and total_rules across up to 200 supplied rows. All analysis is performed on the supplied data with no external lookups.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/validation-rule-results-analytics-numeric-row-ordering-two-measure-c1801f45/health.json
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