# Validation Rule Results Analytics — Numeric Row Ordering + Date by Category Pivot

> Validation Rule Results Analytics — Numeric Row Ordering + 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 2026-10-12).

Generates two local analytical reports (numeric row ordering and date-by-category pivot) from supplied validation rule result records containing passed_rules and total_rules fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-08-122?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-date-by-63ae1bf2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_qG8IkoOwIEdmH6jp9UrIO

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-date-by-63ae1bf2 -d '<json body>'
```

Example prompt: I have 4 validation rule records for two dataset groups — group-a on 2026-10-01 with 10 passed out of 1 total and on 2026-10-03 with 15 passed out of 3 total, and group-b on 2026-10-02 with 20 passed out of 2 total and on 2026-10-04 with 30 passed out of 4 total — can you give me both a numeric row ordering and a date-by-category pivot on the passed_rules field?

## When to prefer this

Choose this endpoint when you have up to 200 validation rule result records (with passed_rules and total_rules counts) and need both a ranked numeric ordering and a date-by-category pivot in a single low-cost call. It is ideal for data quality audits, compliance reporting, and pipeline health dashboards where you supply the data and need fast local analytics without any external lookups or predictions.

## Known failure modes

- Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- More than 200 rows submitted exceeds the maxItems limit
- Invalid field enum value (anything other than passed_rules or total_rules) causes rejection
- All-null numeric values may yield empty or degenerate reports
- Payment of 0.01 USDC not submitted correctly via x402 protocol results in 402 response

## How this service works

Validation rule results — Numeric row ordering + Date by category pivot: Numeric row ordering + 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 analytical reports computed entirely from the supplied data: (1) a numeric row ordering report ranking rows by the selected field (passed_rules or total_rules), and (2) a date-by-category pivot table showing field values broken down by date and dataset_group. No external data is fetched; all computation is local.

## 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-date-by-63ae1bf2/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)