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

> Validation Rule Results Analytics: Numeric Distribution + 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 2026-10-11).

Computes numeric distribution statistics and two-measure correlation for up to 200 validation rule result records (passed_rules, total_rules).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-08-081?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-11
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/validation-rule-results-analytics-numeric-distribution-two-measure-4edb62fe
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_VkQuPI98-JjD4edhF41Vc

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-distribution-two-measure-4edb62fe -d '<json body>'
```

Example prompt: Can you analyze the distribution of passed_rules and compute the correlation between passed_rules and total_rules for these 50 validation result records I have across groups A and B from last month?

## When to prefer this

Choose this endpoint when you need both a numeric distribution summary and a correlation analysis between passed_rules and total_rules for validation rule result data in a single API call. It is ideal for data quality monitoring workflows, governance audits, or ETL pipeline health checks where you have up to 200 rows of rule outcome records and want two complementary statistical perspectives at a low fixed cost.

## Known failure modes

- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null or non-numeric values in both measure columns may degrade correlation computation
- Payment of 0.01 USDC not completed — endpoint returns 402

## How this service works

Validation rule results — Numeric distribution + Two-measure correlation: Numeric distribution + 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 distribution report for the selected measure (passed_rules or total_rules) showing statistical spread, and (2) a two-measure correlation report between passed_rules and total_rules across the supplied rows. Both reports are computed locally from user-supplied data without 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-distribution-two-measure-4edb62fe/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)