# Label Review Analytics: Numeric Distribution & Category Frequencies

> Label Review Analytics: Numeric Distribution & Category Frequencies 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).

Computes numeric distribution statistics and category frequency counts for label review records (reviewed_records and changed_labels) across up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-072?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-analytics-numeric-distribution-category-frequencies-f793526c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Hwp4fM8AJfYtFcj1hhXu2

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-analytics-numeric-distribution-category-frequencies-f793526c -d '<json body>'
```

Example prompt: Can you run a numeric distribution and category frequency analysis on my label review data? I have rows with dataset_group, date, reviewed_records, and changed_labels — here are up to 200 rows — and I want the report on the reviewed_records field.

## When to prefer this

Choose this endpoint when you have up to 200 label review records with reviewed_records and changed_labels fields and need both a numeric distribution profile and a category frequency breakdown in a single low-cost call. Ideal for ML data pipeline audits, label quality monitoring, and dataset review throughput analysis where you supply your own data and need offline statistical summaries without any external lookups or predictions.

## Known failure modes

- Rows array exceeds 200 items — request rejected
- Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) on any row — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejected
- Empty rows array — minimum 1 item required
- Invalid field enum value (must be 'reviewed_records' or 'changed_labels') — error

## How this service works

Label review — Numeric distribution + Category frequencies: Numeric distribution + Category frequencies 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 distribution summary for the selected field (reviewed_records or changed_labels), including statistics such as min, max, mean, median, and histogram-style buckets; and (2) a category frequency breakdown by dataset_group, showing how records are distributed across the distinct group labels in the supplied data.

## 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-analytics-numeric-distribution-category-frequencies-f793526c/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)