# Label Review Analytics — Exact Row Deduplication + Category Frequencies

> Label Review Analytics — Exact Row Deduplication + 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).

Runs two local analytical reports on label review data: exact row deduplication and category frequency analysis for reviewed_records and changed_labels fields across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-041?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-exact-row-deduplication-category-frequencies-604024b1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Ghfd6WX2c_wJORXttWw-J

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-exact-row-deduplication-category-frequencies-604024b1 -d '<json body>'
```

Example prompt: Can you run exact row deduplication and category frequency analysis on this label review dataset? I have up to 50 rows with fields for row_id, dataset_group, date, reviewed_records, and changed_labels — I want to know which rows are exact duplicates and how the counts break down by category.

## When to prefer this

Choose this endpoint when you need both exact duplicate detection and category frequency analysis on label review data in a single low-cost call ($0.01 USDC for both reports). It is ideal for ML annotation workflows, data labeling QA audits, and pipeline hygiene checks where you want offline, deterministic analysis on up to 200 rows without any external API calls or predictions.

## Known failure modes

- Exceeding 200-row limit returns an error — batch must be split
- Rows missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) fail schema validation
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Numeric values outside ±1,000,000,000,000 range fail validation
- Empty rows array (minItems: 1 not met) returns a validation error

## How this service works

Label review — Exact row deduplication + Category frequencies: Exact row deduplication + 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 reports: (1) an exact row deduplication report identifying which rows are identical across all fields, and (2) a category frequency report showing counts and distributions of reviewed_records and changed_labels grouped by dataset_group. No external lookups or predictions are made — all analysis is performed locally on 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/label-review-analytics-exact-row-deduplication-category-frequencies-604024b1/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)