# Label Review — Record Quality Audit + Trailing Mean Series

> Label Review — Record Quality Audit + Trailing Mean 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 two analytical reports (record quality audit and trailing mean series) on label review data containing reviewed_records and changed_labels fields, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-010?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-trailing-mean-series-ae5a7778
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_MUogRlh86uUCCg-rPMF5E

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-trailing-mean-series-ae5a7778 -d '<json body>'
```

Example prompt: Run a record quality audit and trailing mean series on my label review data — I have 50 rows with reviewed_records and changed_labels per date across two dataset groups, and I want the trailing mean computed over a window of 5 for the reviewed_records field.

## When to prefer this

Choose this endpoint when you need both a record quality audit and a trailing mean series on label review data in a single low-cost call. It is ideal for ML teams monitoring annotation quality over time, particularly when data is already available locally and no external lookup, prediction, or professional assessment is needed. Best suited for datasets up to 200 rows with date-stamped, grouped label review metrics.

## Known failure modes

- More than 200 rows submitted — request rejected due to row limit
- Missing required fields (row_id, date, reviewed_records, changed_labels) causing validation errors
- Invalid date format (must be YYYY-MM-DD) causing parsing failure
- Window size larger than the number of rows causing incomplete or empty trailing mean series
- Null values in the target field reducing the usable trailing mean window
- Non-numeric values in reviewed_records or changed_labels fields causing computation errors

## How this service works

Label review — Record quality audit + Trailing mean series: Record quality audit + Trailing mean 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

Two independent analytical reports for the submitted label review rows: (1) a record quality audit flagging completeness, validity, and structural issues per row, and (2) a trailing mean series showing rolling averages of the selected field (reviewed_records or changed_labels) over the specified window size — all computed locally without 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/label-review-record-quality-audit-trailing-mean-series-ae5a7778/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)