# Schema Conformity — Record Quality Audit + Duplicate Key Report

> Schema Conformity — Record Quality Audit + Duplicate Key Report 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 up to 200 schema conformity rows for record quality issues and generates a duplicate key report, using local analytical engines with no external lookups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-003?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-duplicate-key-report-dde0c755
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_uFIaiD5djcqCPzMlLqNVg

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-duplicate-key-report-dde0c755 -d '<json body>'
```

Example prompt: Can you run a record quality audit and duplicate key report on these schema conformity rows — I have up to 50 rows with row_id, dataset_group, date, valid_records, and checked_records fields and want to find any anomalies or duplicate keys?

## When to prefer this

Choose this endpoint when you need two simultaneous analytical reports — a record quality audit AND a duplicate key check — on schema conformity data (valid_records, checked_records) in a single low-cost call. Ideal for pre-ingestion data validation pipelines, automated data quality checks, or batch auditing of up to 200 rows without requiring any external lookups or live data connections. Prefer over generic validation tools when your data follows the specific schema conformity structure (row_id, dataset_group, date, valid_records, checked_records).

## Known failure modes

- More than 200 rows submitted — exceeds maxItems limit, request rejected
- Missing required fields (row_id, dataset_group, date, valid_records, or checked_records) on any row
- Invalid date format (must match YYYY-MM-DD pattern)
- row_id exceeds 80 characters or is empty
- numeric fields outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- Empty rows array (minItems: 1 not met)

## How this service works

Schema conformity — Record quality audit + Duplicate key report: Record quality audit + Duplicate key report 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 analytical reports: (1) a record quality audit identifying anomalies, missing values, or integrity issues in the valid_records and checked_records fields; and (2) a duplicate key report flagging any repeated row_id values across the submitted rows. Both reports are generated locally with no external data access.

## 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-duplicate-key-report-dde0c755/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)