# Label Review Analytics — Record Quality Audit, String Normalisation & Duplicate Key Report

> Label Review Analytics — Record Quality Audit, String Normalisation & Duplicate Key Report 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 local analytical reports (record quality audit, string normalisation, and duplicate key detection) on up to 200 rows of label review data containing reviewed_records and changed_labels fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-192?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-string-normalisation-d2b107a2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_1GP7ZwSKaWIKaxGEh7fO_

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-string-normalisation-d2b107a2 -d '<json body>'
```

Example prompt: Can you run the three-report quality bundle on my label review data — record quality audit, string normalisation, and duplicate key check — for these 50 rows across dataset groups 'alpha' and 'beta' with dates from 2026-10-01 to 2026-10-10?

## When to prefer this

Choose this endpoint when you have up to 200 rows of label review data and need all three analytical reports (quality audit, string normalisation, duplicate detection) in a single low-cost call ($0.01 USDC). It is ideal for ML/data teams validating annotation pipeline outputs before training, or for anyone needing a bundled data hygiene check on label review records without requiring live lookups, predictions, or external data enrichment.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, reviewed_records, changed_labels) cause row-level validation errors
- Malformed date strings not matching YYYY-MM-DD pattern rejected by schema validation
- Numeric values outside the allowed range (±1,000,000,000,000) cause schema rejection
- Empty rows array returns an error
- Service unavailable or payment not processed results in 402 or 5xx error

## How this service works

Label review — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report 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 for the submitted label review rows: (1) a record quality audit flagging missing, out-of-range, or malformed field values; (2) a string normalisation report identifying casing, whitespace, or formatting inconsistencies in text fields like dataset_group; and (3) a duplicate key report listing any repeated row_id values. All analysis 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/label-review-analytics-record-quality-audit-string-normalisation-d2b107a2/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)