# Validation Rule Results Analytics — Two-Measure Correlation + Date-by-Category Pivot

> Validation Rule Results Analytics — Two-Measure Correlation + 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 2026-10-11).

Runs two local analytical reports on validation rule result records: a two-measure correlation between passed_rules and total_rules, plus a date-by-category pivot table.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-08-182?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-two-measure-correlation-date-by-7fa68e55
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_QBQJ5VZADThHDFlGIbPg8

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-two-measure-correlation-date-by-7fa68e55 -d '<json body>'
```

Example prompt: I have up to 200 rows of validation rule results with columns for row_id, dataset_group, date, passed_rules, and total_rules — can you run a two-measure correlation between passed_rules and total_rules and also pivot the results by date and dataset_group category?

## When to prefer this

Choose this endpoint when you have pre-collected validation rule result records (passed_rules, total_rules) and need both a correlation analysis and a date-by-category pivot in a single call without any external data lookups. It is ideal for data quality monitoring workflows where you want quick local analytics on up to 200 rows of rule-based test results organized by dataset group and date.

## Known failure modes

- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds max row limit
- Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) — validation error
- Date field not in YYYY-MM-DD format — pattern validation failure
- Numeric fields out of allowed range — schema rejection
- All values null for a measure — correlation cannot be computed
- Payment not provided or insufficient — x402 payment required error

## How this service works

Validation rule results — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot 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 computed locally on the supplied rows: (1) a two-measure correlation analysis between passed_rules and total_rules showing the statistical relationship, and (2) a pivot table breaking down the selected measure (passed_rules or total_rules) by date and dataset_group category. No external data is fetched; all analysis is performed on the up-to-200 input rows provided.

## 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-two-measure-correlation-date-by-7fa68e55/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)