# Label Review — Numeric Row Ordering + IQR Outlier Flags

> Label Review — 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 label review records by numeric value and flags statistical outliers using the interquartile range (IQR) method, producing two independent analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-119?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/label-review-numeric-row-ordering-iqr-outlier-flags-f0a3ecd0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ewjwrULZWtGURC7zs44tV

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 label-review-numeric-row-ordering-iqr-outlier-flags-f0a3ecd0 -d '<json body>'
```

Example prompt: I have a set of label review records with reviewed_records and changed_labels counts — can you sort them numerically by reviewed_records and flag any IQR outliers? Here are up to 10 rows: row-1 group-a 2026-10-01 reviewed=10 changed=1, row-2 group-b 2026-10-02 reviewed=20 changed=2, etc.

## When to prefer this

Choose this endpoint when you need both a ranked ordering of label review rows and IQR-based outlier detection in a single $0.01 call, without requiring any external data sources or ML predictions. It is ideal for data quality audits of annotation pipelines, pre-training data checks, or monitoring label review session volumes. Prefer this over general-purpose analytics when your data conforms specifically to the reviewed_records/changed_labels schema and you want two distinct statistical reports in one request.

## Known failure modes

- Fewer than 1 row submitted — minimum of 1 row required
- More than 200 rows submitted — batch limit exceeded
- Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) in any row
- Invalid date format — must match YYYY-MM-DD pattern
- Field enum value not recognized — must be reviewed_records or changed_labels
- Null values in the selected numeric field may affect IQR computation
- Payment of 0.01 USDC not completed — x402 payment required before processing

## How this service works

Label review — Numeric row ordering + IQR outlier flags: Numeric row ordering + IQR outlier flags for supplied label review records (reviewed_records, changed_labels). 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 for the submitted label review rows: (1) a numeric row ordering report that ranks rows by the selected field (reviewed_records or changed_labels), and (2) an IQR outlier detection report that flags rows whose values fall outside the interquartile range bounds. Both reports operate on the same submitted 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",
     "reviewed_records",
     "changed_labels"
    ],
    "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
     },
     "changed_labels": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "reviewed_records": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "dataset_group": "group-a",
     "changed_labels": 1,
     "reviewed_records": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "dataset_group": "group-b",
     "changed_labels": 2,
     "reviewed_records": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "dataset_group": "group-a",
     "changed_labels": 3,
     "reviewed_records": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "dataset_group": "group-b",
     "changed_labels": 4,
     "reviewed_records": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "reviewed_records",
    "changed_labels"
   ],
   "type": "string",
   "default": "reviewed_records"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/label-review-numeric-row-ordering-iqr-outlier-flags-f0a3ecd0/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)