# Schema Conformity Record Quality Audit + Exact Row Deduplication

> Schema Conformity Record Quality Audit + Exact Row Deduplication is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).

Audits record quality and deduplicates exact rows for schema conformity data (valid_records, checked_records) — delivering two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-002?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-17
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/schema-conformity-record-quality-audit-exact-row-deduplication-b81e4a36
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_6aBWdEFKZdCOlkXVyqs5X

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-b81e4a36 -d '<json body>'
```

Example prompt: Can you audit the quality and deduplicate exact rows in my schema conformity data? I have 4 rows: row-1 for group-a on 2026-10-01 with 10 valid and 1 checked, row-2 for group-b on 2026-10-02 with 20 valid and 2 checked, row-3 for group-a on 2026-10-03 with 15 valid and 3 checked, and row-4 for group-b on 2026-10-04 with 30 valid and 4 checked.

## When to prefer this

Choose this endpoint when you need both a record quality audit AND exact row deduplication in a single low-cost call for schema conformity tracking data with valid_records and checked_records fields. It is ideal for datasets up to 200 rows where you want two distinct analytical perspectives without external API calls, predictions, or live data lookups. Prefer alternatives if you need fuzzy deduplication, predictive quality scoring, or datasets exceeding 200 rows.

## Known failure modes

- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, valid_records, checked_records) causes row rejection or error
- Malformed date strings not matching YYYY-MM-DD pattern may cause parsing failures
- Null values in valid_records or checked_records are accepted but may reduce quality audit coverage
- Empty rows array (minItems:1 violated) returns a validation error

## How this service works

Schema conformity — Record quality audit + Exact row deduplication: Record quality audit + Exact row deduplication for supplied schema conformity records (valid_records, checked_records). 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 reports: (1) a record quality audit summarizing field completeness, value distributions, and anomalies in valid_records and checked_records fields; and (2) an exact row deduplication report identifying which rows are exact copies across row_id, dataset_group, date, valid_records, and checked_records. Both reports are generated using local analytical engines 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/schema-conformity-record-quality-audit-exact-row-deduplication-b81e4a36/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)