# Schema Conformity — Numeric Row Ordering + IQR Outlier Flags

> Schema Conformity — Numeric Row Ordering + 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 2026-10-15).

Sorts schema conformity records by numeric value and flags IQR-based outliers across valid_records and checked_records fields for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-119?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/schema-conformity-numeric-row-ordering-iqr-outlier-flags-928f4c29
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_TYJ5Mk0pI0CD_11i-2SVg

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-numeric-row-ordering-iqr-outlier-flags-928f4c29 -d '<json body>'
```

Example prompt: Rank my schema conformity rows by valid_records and flag any IQR outliers — here are 4 rows: row-1 group-a 2026-10-01 valid_records=10 checked_records=1, row-2 group-b 2026-10-02 valid_records=20 checked_records=2, row-3 group-a 2026-10-03 valid_records=15 checked_records=3, row-4 group-b 2026-10-04 valid_records=30 checked_records=4, and use valid_records as the target field.

## When to prefer this

Choose this endpoint when you need both numeric ordering and IQR-based outlier detection on schema conformity metrics (valid_records, checked_records) in a single low-cost call. Ideal for data quality pipelines processing up to 200 rows where no live data lookup or ML prediction is needed — purely analytical, deterministic, and runs locally on submitted data.

## Known failure modes

- More than 200 rows submitted — endpoint rejects with error
- Missing required fields (row_id, date, valid_records, checked_records) cause validation failure
- Invalid date format (non-YYYY-MM-DD) triggers pattern validation error
- All null values in selected field produce no meaningful IQR computation
- Empty rows array rejected due to minItems:1 constraint

## How this service works

Schema conformity — Numeric row ordering + IQR outlier flags: Numeric row ordering + 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 analytical reports: (1) rows ordered numerically by the selected field (valid_records or checked_records), and (2) IQR-based outlier flags indicating which rows fall below Q1−1.5×IQR or above Q3+1.5×IQR. Both reports are computed locally from the 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-numeric-row-ordering-iqr-outlier-flags-928f4c29/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)