# Label Review Analytics — Duplicate Key Report + Grouped Numeric Summary

> Label Review Analytics — Duplicate Key Report + Grouped Numeric Summary 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 a grouped numeric summary for reviewed_records or changed_labels fields, covering up to 200 rows in one call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-056?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-grouped-numeric-summary-472def8b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_f4kPz-qVMm54ut9rSL45d

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-grouped-numeric-summary-472def8b -d '<json body>'
```

Example prompt: Can you run a duplicate key check and grouped numeric summary on my label review data — I've got rows with row_id, dataset_group, date, reviewed_records, and changed_labels, and I want to summarize the reviewed_records field across up to 50 rows?

## When to prefer this

Choose this endpoint when you need to simultaneously audit label review data for duplicate row keys AND get a grouped numeric breakdown of a chosen metric (reviewed_records or changed_labels) by dataset_group — all in a single low-cost call against your own supplied data, with no external lookups or predictions involved. It is ideal for ML data ops teams validating annotation batches before training runs.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) cause row-level errors
- Invalid date format (non-YYYY-MM-DD) causes validation failure
- Numeric values outside the allowed range cause schema rejection
- Empty rows array returns an error
- Invalid field selector (not 'reviewed_records' or 'changed_labels') causes failure

## How this service works

Label review — Duplicate key report + Grouped numeric summary: Duplicate key report + Grouped numeric summary 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 row_ids that appear more than once in the submitted data, and (2) a grouped numeric summary of the selected field (reviewed_records or changed_labels) aggregated by dataset_group — covering 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-grouped-numeric-summary-472def8b/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)