# Label Review — Record Quality Audit + Base-100 Series

> Label Review — Record Quality Audit + 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 2026-10-24).

Runs two analytical reports on label review data: a record quality audit and a Base-100 index series for reviewed_records or changed_labels across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-012?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-record-quality-audit-base-100-series-5a22d668
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Gt7o_BrUOLw-vcR_IYKMR

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-base-100-series-5a22d668 -d '<json body>'
```

Example prompt: Can you run a record quality audit and Base-100 index series on my label review data? I have 4 rows across two dataset groups (group-a and group-b) from 2026-10-01 to 2026-10-04, with reviewed_records counts of 10, 20, 15, 30 and changed_labels of 1, 2, 3, 4 — please index on reviewed_records starting from row index 0.

## When to prefer this

Choose this endpoint when you have up to 200 rows of label review data and need both a data quality audit and a Base-100 normalization series in a single low-cost call ($0.01 USDC). It is ideal for ML annotation pipelines, QA teams monitoring label change rates, or analysts comparing dataset group throughput over time — without needing live lookups, predictions, or external data enrichment.

## Known failure modes

- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, date, reviewed_records, changed_labels) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- base_index references a row index that does not exist in the submitted array
- Numeric values outside allowed range (±1,000,000,000,000) — rejected by schema
- Empty rows array submitted — minItems:1 constraint violated

## How this service works

Label review — Record quality audit + Base-100 series: Record quality audit + Base-100 series 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 computed locally from supplied data: (1) a record quality audit flagging issues such as nulls, duplicates, or anomalies across the input rows, and (2) a Base-100 index series normalizing the chosen field (reviewed_records or changed_labels) relative to the specified base row index. No external data or live lookups are involved.

## 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-record-quality-audit-base-100-series-5a22d668/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)