# Label Review Analytics — Duplicate Key Report + Category Frequencies

> Label Review Analytics — Duplicate Key Report + 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).

Generates two analytical reports — a duplicate key report and category frequency summary — from supplied label review records, covering up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-057?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-category-frequencies-beb1f197
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_-_Ppa6KNFPPWYXivpA4s9

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-category-frequencies-beb1f197 -d '<json body>'
```

Example prompt: I have up to 200 rows of label review records with row IDs, dataset groups, dates, reviewed record counts, and changed label counts — can you run a duplicate key check and give me category frequency counts across those records?

## When to prefer this

Choose this endpoint when you need fast, local analytical reporting on label review data — specifically duplicate key detection and category frequency counts — without any external API calls, live predictions, or professional assessments. It is ideal for data quality audits on annotation and label review pipelines where you have structured row-level data with group and date dimensions. At $0.01 USDC for two reports on up to 200 rows, it is cost-effective for routine batch quality checks.

## Known failure modes

- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds limit, request rejected
- Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- row_id exceeds 80 character limit — schema validation failure
- Payment not included or insufficient — x402 payment required error

## How this service works

Label review — Duplicate key report + Category frequencies: Duplicate key report + 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) a duplicate key report identifying any repeated row_id values across the submitted records, and (2) a category frequency summary showing how often each dataset_group value appears in the input data. Both reports are derived entirely from the supplied rows with no external lookups or predictions.

## 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-duplicate-key-report-category-frequencies-beb1f197/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)