# Validation Rule Results — Grouped Numeric Summary + Numeric Interval Filter

> Validation Rule Results — Grouped Numeric Summary + Numeric Interval Filter 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).

Analyzes validation rule result records by producing a grouped numeric summary and a numeric interval filter report for passed_rules and total_rules fields, processing up to 200 rows locally.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-08-088?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-grouped-numeric-summary-numeric-interval-filter-a723dcdd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_9kXCUkR8YD2hWBywOSFju

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-grouped-numeric-summary-numeric-interval-filter-a723dcdd -d '<json body>'
```

Example prompt: I have 150 validation rule result records with passed_rules and total_rules values across dataset groups like 'group-a' and 'group-b' — can you group and summarize them numerically and also filter to only rows where passed_rules is between 0 and 100?

## When to prefer this

Choose this endpoint when you need both a grouped breakdown of numeric validation rule metrics (passed_rules or total_rules) by dataset_group AND want to filter rows to a specific numeric interval in a single API call. It is ideal for small-to-medium batch analysis (up to 200 rows) of data quality validation results without requiring external data access, live lookups, or predictions. Prefer it over general analytics tools when you specifically have validation rule result records with a group dimension and need quick in-memory statistical summaries.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes validation error
- Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) results in schema rejection
- Minimum value greater than maximum value may produce empty interval filter results
- Null numeric values in passed_rules or total_rules may be excluded from summary statistics
- Payment of 0.01 USDC not completed — endpoint returns 402 error

## How this service works

Validation rule results — Grouped numeric summary + Numeric interval filter: Grouped numeric summary + Numeric interval filter 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 grouped numeric summary of passed_rules or total_rules values broken down by dataset_group, and (2) a numeric interval filter that subsets rows where the selected field falls within the specified minimum and maximum bounds. Up to 200 input rows are processed locally 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/validation-rule-results-grouped-numeric-summary-numeric-interval-filter-a723dcdd/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)