# Validation Rule Results — Exact Row Deduplication + Numeric Row Ordering

> Validation Rule Results — Exact Row Deduplication + Numeric Row Ordering 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).

Deduplicates exact rows and sorts by numeric value for validation rule result records (passed_rules, total_rules) across up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-08-042?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-exact-row-deduplication-numeric-row-ordering-1e7b5c85
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_AThbPKm2bMkRARNaOQCfs

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-exact-row-deduplication-numeric-row-ordering-1e7b5c85 -d '<json body>'
```

Example prompt: I have validation rule results for my datasets — can you deduplicate the exact rows and sort them numerically by passed_rules? Here are 4 records: row-1 on 2026-10-01 in group-a with passed_rules=10 and total_rules=1, row-2 on 2026-10-02 in group-b with passed_rules=20 and total_rules=2, row-3 on 2026-10-03 in group-a with passed_rules=15 and total_rules=3, and row-4 on 2026-10-04 in group-b with passed_rules=30 and total_rules=4.

## When to prefer this

Choose this endpoint when you need to clean and order tabular validation rule result data (passed_rules, total_rules) with up to 200 rows, specifically requiring exact row deduplication and numeric sorting as two bundled reports. It is ideal for data quality pipelines, validation audit preparation, or pre-reporting cleanup where no external data enrichment or prediction is needed — just local analytical operations on supplied data.

## Known failure modes

- Input array is empty or exceeds 200 rows — rejected with validation error
- Row missing required fields (row_id, dataset_group, date, passed_rules, total_rules) — rejected
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- passed_rules or total_rules values outside allowed numeric range — rejected
- Invalid field enum value (not 'passed_rules' or 'total_rules') — rejected
- Malformed JSON body — parse error returned

## How this service works

Validation rule results — Exact row deduplication + Numeric row ordering: Exact row deduplication + Numeric row ordering 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

Two independent analytical reports: (1) an exact row deduplication report identifying and removing identical records from the supplied validation rule results, and (2) a numeric row ordering report sorting records by the selected field (passed_rules or total_rules). Both reports are generated from the supplied data only 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-exact-row-deduplication-numeric-row-ordering-1e7b5c85/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)