# Schema Conformity Analytics — Record Quality Audit, Exact Row Deduplication & Category Frequencies

> Schema Conformity Analytics — Record Quality Audit, Exact Row Deduplication & Category Frequencies 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).

Runs three local analytical reports on schema conformity data (valid_records, checked_records): a record quality audit, exact row deduplication, and category frequency breakdown — all for up to 200 rows in a single call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-212?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-analytics-record-quality-audit-exact-row-342505f5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap__HGiaSiqNPoMqw1J-WYc3

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-analytics-record-quality-audit-exact-row-342505f5 -d '<json body>'
```

Example prompt: Can you run a record quality audit, exact duplicate check, and category frequency breakdown on my schema conformity data? Here are my rows — each has a row_id, dataset_group, date, valid_records, and checked_records — I have about 150 rows across groups like 'group-a' and 'group-b' from October 2026.

## When to prefer this

Choose this endpoint when you need three bundled analytical reports — quality audit, deduplication, and frequency analysis — on schema conformity tracking data (valid_records and checked_records fields) in a single low-cost call. It is ideal for data pipeline QA workflows, pre-report data hygiene checks, and governance dashboards where you want offline, deterministic analysis with no external data access. Prefer it over separate single-report endpoints when all three report types are needed simultaneously to save cost and latency.

## Known failure modes

- Exceeding 200 rows returns an error — input must be trimmed to the limit
- Missing required fields (row_id, dataset_group, date, valid_records, checked_records) on any row may cause validation failure
- Malformed date strings not matching YYYY-MM-DD pattern will be flagged or rejected
- Null numeric values are accepted but may affect quality audit scoring
- Empty row array (minItems: 1 violated) will return an error

## How this service works

Schema conformity — Record quality audit + Exact row deduplication + Category frequencies: Record quality audit + Exact row deduplication + Category frequencies 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

Returns three independent analytical reports: (1) a record quality audit summarizing completeness and validity of each row's fields, (2) an exact row deduplication report identifying identical rows, and (3) category frequency counts broken down by dataset_group — all computed locally without 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-analytics-record-quality-audit-exact-row-342505f5/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)