# Label Review Analytics: Record Quality Audit + Exact Row Deduplication + Numeric Distribution

> Label Review Analytics: Record Quality Audit + Exact Row Deduplication + 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).

Runs three bundled analytical reports on label review data: a record quality audit, exact row deduplication, and numeric distribution analysis for reviewed_records or changed_labels.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-210?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-record-quality-audit-exact-row-deduplication-6a447c9a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap__GRr3v1DQN1U8p0Ufzks_

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-record-quality-audit-exact-row-deduplication-6a447c9a -d '<json body>'
```

Example prompt: Can you run a full quality audit, exact deduplication, and numeric distribution report on my label review data — here are my rows with row_id, dataset_group, date, reviewed_records, and changed_labels — and analyze the reviewed_records field?

## When to prefer this

Choose this endpoint when you need three analytical operations on label review data in a single low-cost call ($0.01 USDC): a quality audit, exact deduplication, and numeric distribution. Ideal when your dataset is ≤200 rows, you have structured label review records with reviewed_records and changed_labels fields, and you want purely local computation with no external API calls or predictions. Prefer over separate single-report endpoints when you want all three insights bundled efficiently.

## Known failure modes

- Exceeds 200-row limit — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, reviewed_records, or changed_labels) triggers validation error
- Null numeric values may reduce distribution report accuracy
- Invalid field enum value (not reviewed_records or changed_labels) causes error
- Empty rows array rejected by minItems:1 constraint

## How this service works

Label review — Record quality audit + Exact row deduplication + Numeric distribution: Record quality audit + Exact row deduplication + Numeric distribution for supplied label review records (reviewed_records, changed_labels). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns three independent analytical reports: (1) a record quality audit flagging null, invalid, or malformed values; (2) an exact row deduplication report identifying fully identical rows; and (3) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram) for either reviewed_records or changed_labels. All computed locally with no external lookups.

## 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-record-quality-audit-exact-row-deduplication-6a447c9a/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)