# Label Review — Equal-Width Histogram + IQR Outlier Flags

> Label Review — Equal-Width Histogram + 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 2026-10-24).

Generates an equal-width histogram and IQR-based outlier flags for label review records (reviewed_records and changed_labels fields), producing 2 independent analytical reports from supplied data up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-170?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/label-review-equal-width-histogram-iqr-outlier-flags-ab93d99b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hf7C8aV_HwfsuwrDVm4o7

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-equal-width-histogram-iqr-outlier-flags-ab93d99b -d '<json body>'
```

Example prompt: Analyze my label review data for outliers and histogram distribution — here are 50 rows with row_id, dataset_group, date, reviewed_records, and changed_labels — run it on the reviewed_records field with 10 bins and flag any IQR outliers.

## When to prefer this

Choose this endpoint when you need fast, local statistical analysis of label review data — specifically distribution binning and outlier detection — without any external API calls or ML predictions. Ideal for ML ops teams auditing annotation pipelines, data quality engineers reviewing label change rates, or anyone needing a quick statistical snapshot of up to 200 label review records at minimal cost ($0.01 for 2 reports).

## Known failure modes

- Rows array empty or missing required fields (row_id, date, reviewed_records, changed_labels) returns validation error
- More than 200 rows submitted exceeds max item limit
- bins value outside 1–30 range rejected
- Invalid date format (non YYYY-MM-DD) causes schema rejection
- Null values in numeric fields may affect IQR computation accuracy
- Field enum value other than reviewed_records or changed_labels rejected

## How this service works

Label review — Equal-width histogram + IQR outlier flags: Equal-width histogram + 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

Two independent analytical reports: (1) an equal-width histogram showing bin ranges and counts for the selected field (reviewed_records or changed_labels), and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range bounds — all computed locally from the supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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-equal-width-histogram-iqr-outlier-flags-ab93d99b/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)