# Label Review Analytics: Duplicate Key Report + Numeric Distribution

> Label Review Analytics: Duplicate Key Report + Numeric Distribution 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).

Analyzes label review records to produce a duplicate key report and numeric distribution summary for up to 200 rows of reviewed_records or changed_labels data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-055?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-duplicate-key-report-numeric-distribution-4cabe961
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_dR4sV52nIQmZfxXscB88a

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-duplicate-key-report-numeric-distribution-4cabe961 -d '<json body>'
```

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

## When to prefer this

Choose this endpoint when you need lightweight, local analytical reports — specifically duplicate key detection and numeric distribution — on label review data without any external data enrichment, prediction, or live lookups. It is ideal for data quality checks on annotation pipelines or ML label review exports where you want both reports in a single cheap call ($0.01 USDC for both). Not suitable for large datasets exceeding 200 rows, real-time monitoring, or any task requiring external data or predictions.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, dataset_group, reviewed_records, changed_labels) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) rejected
- All-null numeric values in selected field may produce empty distribution report
- Invalid field enum value (not reviewed_records or changed_labels) causes error

## How this service works

Label review — Duplicate key report + Numeric distribution: Duplicate key report + Numeric distribution 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 duplicate key report identifying any rows sharing the same row_id, and (2) a numeric distribution summary for the selected field (reviewed_records or changed_labels), computed locally without any external lookups or predictions. Reports cover up to 200 input rows.

## 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-duplicate-key-report-numeric-distribution-4cabe961/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)