# Label Review Analytics: Grouped Numeric Summary + Trailing Mean Series

> Label Review Analytics: Grouped Numeric Summary + 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).

Generates two offline analytical reports — a grouped numeric summary and a trailing mean series — for label review data containing reviewed_records and changed_labels fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-090?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-grouped-numeric-summary-trailing-mean-series-ecd2fb14
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_BImuiKRL50e3_-3uDeyu4

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-grouped-numeric-summary-trailing-mean-series-ecd2fb14 -d '<json body>'
```

Example prompt: Can you run a grouped numeric summary and trailing mean analysis on my label review data? I have records with dataset groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, reviewed_records and changed_labels counts — use reviewed_records as the field and a window of 3.

## When to prefer this

Choose this endpoint when you have label review records with group identifiers and want both a grouped aggregate summary and a rolling mean trend report in a single paid call, without needing external data lookups, predictions, or professional assessments. It is ideal for ML annotation pipelines, data labeling QA workflows, and periodic review audits where up to 200 rows of local data need two complementary statistical views at minimal cost.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) on any row causes validation error
- Date field does not match YYYY-MM-DD pattern — rejected
- Window value outside [2, 200] range causes error
- Numeric fields outside [-1000000000000, 1000000000000] bounds are rejected
- Empty rows array rejected (minItems: 1)

## How this service works

Label review — Grouped numeric summary + Trailing mean series: Grouped numeric summary + 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 analytical reports: (1) a grouped numeric summary aggregating reviewed_records and changed_labels statistics broken down by dataset_group, and (2) a trailing mean series computing rolling averages over the specified window for the chosen field — all computed locally from 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
  },
  "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-analytics-grouped-numeric-summary-trailing-mean-series-ecd2fb14/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)