# Label Review — Record Quality Audit + Two-Measure Correlation

> Label Review — Record Quality Audit + Two-Measure Correlation 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 a record quality audit and two-measure correlation analysis on up to 200 label review rows (reviewed_records, changed_labels), returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-015?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-record-quality-audit-two-measure-correlation-a0231e11
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_K3ZJpL18SKprYbgJaUijY

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-record-quality-audit-two-measure-correlation-a0231e11 -d '<json body>'
```

Example prompt: Can you audit the quality of my label review data and compute the correlation between reviewed_records and changed_labels? I have 4 rows from October 2026 across two dataset groups — group-a and group-b — with row IDs row-1 through row-4, dates from 2026-10-01 to 2026-10-04, reviewed_records values of 10, 20, 15, and 30, and changed_labels of 1, 2, 3, and 4.

## When to prefer this

Choose this endpoint when you need both a data quality audit and a correlation analysis on label review data in a single call at low cost ($0.01 USDC for both reports). It is purpose-built for ML/annotation pipelines tracking reviewed_records and changed_labels per group and date. Prefer it over general-purpose analytics tools when your dataset is under 200 rows and you want offline, deterministic local analysis without external API calls or predictions.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, reviewed_records, changed_labels) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- All changed_labels or reviewed_records values are null — correlation cannot be computed
- Fewer than 2 data points provided — insufficient data for correlation analysis

## How this service works

Label review — Record quality audit + Two-measure correlation: Record quality audit + Two-measure correlation 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 record quality audit identifying issues such as nulls, out-of-range values, and data consistency problems across the reviewed_records and changed_labels fields; and (2) a two-measure correlation report quantifying the statistical relationship between reviewed_records and changed_labels, potentially broken down by dataset_group or date. No external lookups or predictions are made — all analysis is performed locally on the supplied 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/label-review-record-quality-audit-two-measure-correlation-a0231e11/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)