# Label Review Analytics — Record Quality Audit + Date by Category Pivot

> Label Review Analytics — Record Quality Audit + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Runs two local analytical reports on label review data: a record quality audit and a date-by-category pivot, for up to 200 rows of reviewed_records and changed_labels data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-017?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/label-review-analytics-record-quality-audit-date-by-category-pivot-2247fe1e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_U-PelHlPYLD9yIDAW2zbv

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-date-by-category-pivot-2247fe1e -d '<json body>'
```

Example prompt: Can you run a record quality audit and a date-by-category pivot on my label review data? I have rows with dataset_group, date, reviewed_records, and changed_labels fields — I want both reports covering all groups, pivoting on reviewed_records.

## When to prefer this

Choose this endpoint when you have label review or annotation QA data with reviewed_records and changed_labels columns and need both a quality audit and a date-by-category pivot in a single $0.01 call for up to 200 rows. Prefer this over generic analytics tools when your data fits the label review schema exactly and you want two bundled reports without setting up external pipelines or paying for live lookup or prediction services.

## Known failure modes

- Exceeds 200-row limit — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) — row rejected or validation error
- Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) — row skipped or error returned
- Null numeric values in both metric fields — audit may flag incomplete data quality
- field enum value not one of reviewed_records or changed_labels — validation error

## How this service works

Label review — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot 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

Two independent analytical reports: (1) a record quality audit summarizing data completeness, distributions, and anomalies in the reviewed_records and changed_labels columns; (2) a date-by-category pivot table aggregating the selected field (reviewed_records or changed_labels) across dataset_group and date dimensions. All computation is performed locally on the supplied data 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-date-by-category-pivot-2247fe1e/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)