# Schema Conformity Analytics: Exact Row Deduplication + IQR Outlier Flags

> Schema Conformity Analytics: Exact Row Deduplication + IQR Outlier Flags 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).

Deduplicates exact rows and flags IQR-based outliers in schema conformity records (valid_records, checked_records) for up to 200 rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-049?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-analytics-exact-row-deduplication-iqr-outlier-flags-e782ec31
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap__pJNXLdyvjD9G5BREQobu

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-exact-row-deduplication-iqr-outlier-flags-e782ec31 -d '<json body>'
```

Example prompt: Can you deduplicate these schema conformity records and flag any IQR outliers in the valid_records field? I have 4 rows: row-1 for group-a on 2026-10-01 with valid_records=10 and checked_records=1, row-2 for group-b on 2026-10-02 with valid_records=20 and checked_records=2, row-3 for group-a on 2026-10-03 with valid_records=15 and checked_records=3, and row-4 for group-b on 2026-10-04 with valid_records=30 and checked_records=4.

## When to prefer this

Choose this endpoint when you need both exact-row deduplication and IQR-based outlier detection on schema conformity data (valid_records, checked_records) in a single low-cost call. It is purpose-built for data quality pipeline use cases involving up to 200 rows and delivers two structured analytical reports without requiring any external lookup or live data access. Prefer this over general-purpose analytics tools when working specifically with schema conformity tracking records and needing a lightweight, deterministic, offline analysis.

## Known failure modes

- Input exceeds 200 rows — rejected with validation error
- Missing required fields (row_id, date, dataset_group, valid_records, checked_records) cause schema validation failure
- Invalid date format (not YYYY-MM-DD) triggers pattern validation error
- Fewer than the required minimum rows provided
- Payment not included or insufficient USDC — request rejected by x402 payment layer
- null values in the numeric fields may affect IQR computation quality

## How this service works

Schema conformity — Exact row deduplication + IQR outlier flags: Exact row deduplication + IQR outlier flags 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 deduplication report identifying and removing exact duplicate rows from the submitted dataset, and (2) an IQR-based outlier flagging report for the selected field (valid_records or checked_records), covering up to 200 input rows.

## 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-analytics-exact-row-deduplication-iqr-outlier-flags-e782ec31/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)