# Label Review Analytics — Record Quality Audit, String Normalisation & Base-100 Series

> Label Review Analytics — Record Quality Audit, String Normalisation & Base-100 Series 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 independent analytical reports (record quality audit, string normalisation, and base-100 index series) on up to 200 rows of label review data covering reviewed_records and changed_labels fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-201?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-base-a4caa80b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_mEb3VhlFZ2yPF5KRuifuv

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-base-a4caa80b -d '<json body>'
```

Example prompt: Run the three-report label review analytics — record quality audit, string normalisation, and base-100 series — on my dataset: rows from group-a and group-b from October 2026 with reviewed_records and changed_labels counts, rebasing the index at row 0 on the reviewed_records field.

## When to prefer this

Choose this endpoint when you need three combined analytical passes — quality audit, string normalisation, and base-100 indexing — on label review data in a single low-cost call. It is ideal for ML/annotation teams validating batches of up to 200 reviewed_records and changed_labels rows before downstream processing. Prefer it over separate single-report endpoints when you want all three report types together for $0.01 USDC without external lookups or predictions.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null or out-of-range numeric values in reviewed_records or changed_labels may produce quality flags or errors
- base_index referencing a row beyond the dataset length fails validation
- Missing required fields (row_id, date) causes request rejection
- Payment failure or insufficient USDC balance blocks the call

## How this service works

Label review — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series 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 completeness and consistency issues, (2) a string normalisation report standardising text fields such as dataset_group, and (3) a base-100 index series for the selected numeric field (reviewed_records or changed_labels) rebased from the specified row index. All analysis is performed locally on 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/label-review-analytics-record-quality-audit-string-normalisation-base-a4caa80b/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)