# Label Review — Numeric Interval Filter + IQR Outlier Flags

> Label Review — Numeric Interval Filter + 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).

Applies a numeric interval filter and IQR-based outlier detection to label review records (reviewed_records, changed_labels), returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-130?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-interval-filter-iqr-outlier-flags-49a5b977
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_6sQMJFLwYx05iHcBY87V3

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-interval-filter-iqr-outlier-flags-49a5b977 -d '<json body>'
```

Example prompt: Can you run the numeric interval filter and IQR outlier check on my label review data? Filter the reviewed_records field to the range 0–100, and flag any outliers across these rows: row-1 (group-a, 2026-10-01, reviewed=10, changed=1), row-2 (group-b, 2026-10-02, reviewed=20, changed=2), row-3 (group-a, 2026-10-03, reviewed=15, changed=3).

## When to prefer this

Choose this endpoint when you need two simultaneous statistical reports — numeric range filtering AND IQR-based outlier detection — on label review data (reviewed_records, changed_labels) for up to 200 rows at minimal cost ($0.01 USDC). Prefer it over general-purpose analytics when your data conforms to the label review schema with date, row_id, and dataset_group identifiers. It is a local computation engine with no external dependencies, making it fast and deterministic.

## Known failure modes

- Fewer than 1 row supplied — returns validation error
- More than 200 rows submitted — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Non-numeric values in reviewed_records or changed_labels fields when numbers expected — parsing error
- minimum greater than maximum — may produce empty interval filter result
- Insufficient data spread for meaningful IQR calculation (e.g. all identical values) — outlier report may show no flags

## How this service works

Label review — Numeric interval filter + IQR outlier flags: Numeric interval filter + 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 analytical reports: (1) a numeric interval filter report identifying which rows fall within or outside the specified [minimum, maximum] range for the chosen field, and (2) an IQR outlier flagging report identifying statistically extreme rows based on interquartile range analysis — all computed locally on 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",
     "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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/label-review-numeric-interval-filter-iqr-outlier-flags-49a5b977/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)