# Schema Conformity — Record Quality Audit + Exact Row Deduplication + Numeric Row Ordering

> Schema Conformity — Record Quality Audit + 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 2026-10-14).

Analyzes schema conformity records (valid_records, checked_records) by running three independent local reports: a record quality audit, exact row deduplication, and numeric row ordering — on up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-213?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/schema-conformity-record-quality-audit-exact-row-deduplication-3e618b79
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_JdKtKKQoCXfyEdOIgtolm

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 schema-conformity-record-quality-audit-exact-row-deduplication-3e618b79 -d '<json body>'
```

Example prompt: Can you run a record quality audit, exact deduplication, and numeric row ordering on my schema conformity data? I have rows with dataset_group 'prod-a' and dates from 2025-01-01 to 2025-01-10, with valid_records and checked_records counts — analyze the valid_records field across all 10 rows.

## When to prefer this

Choose this endpoint when you need three bundled local analytics reports — quality audit, deduplication, and numeric ordering — on schema conformity records in a single low-cost call. It is best suited for batch analysis of up to 200 rows of valid_records or checked_records data without any need for external lookups, predictions, or real-time data. Prefer it over single-report endpoints on the same platform when you need all three outputs at once for the same dataset.

## Known failure modes

- Submitting more than 200 rows returns an error or truncation
- Missing required fields (row_id, date, valid_records, checked_records) causes validation failure
- Invalid date format (not YYYY-MM-DD) triggers a schema rejection
- Selecting a field value outside the enum ['valid_records','checked_records'] returns an error
- Submitting an empty rows array (minItems: 1 violated) causes rejection

## How this service works

Schema conformity — Record quality audit + Exact row deduplication + Numeric row ordering: Record quality audit + Exact row deduplication + Numeric row ordering for supplied schema conformity records (valid_records, checked_records). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Three independent analytical reports on the submitted rows: (1) a record quality audit flagging data issues in the selected field, (2) an exact row deduplication report identifying and removing repeated rows, and (3) a numeric row ordering report sorting rows by the selected numeric field. All computed locally from supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "valid_records",
     "checked_records"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "valid_records": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "checked_records": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "dataset_group": "group-a",
     "valid_records": 10,
     "checked_records": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "dataset_group": "group-b",
     "valid_records": 20,
     "checked_records": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "dataset_group": "group-a",
     "valid_records": 15,
     "checked_records": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "dataset_group": "group-b",
     "valid_records": 30,
     "checked_records": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "valid_records",
    "checked_records"
   ],
   "type": "string",
   "default": "valid_records"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/schema-conformity-record-quality-audit-exact-row-deduplication-3e618b79/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)