# Label Review Analytics: Grouped Numeric Summary + Missing-Value Fill

> Label Review Analytics: Grouped Numeric Summary + Missing-Value Fill 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).

Produces two analytical reports for label review data: a grouped numeric summary by dataset group and an explicit missing-value fill for reviewed_records or changed_labels fields, processing up to 200 rows locally.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-099?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-missing-value-fill-999bd9a4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_pCn3VajdhNKa7YU4lJQHE

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-missing-value-fill-999bd9a4 -d '<json body>'
```

Example prompt: I have up to 200 label review records with row_id, dataset_group, date, reviewed_records, and changed_labels columns — can you give me a grouped numeric summary by dataset_group and also fill any missing values in reviewed_records using median imputation?

## When to prefer this

Use this endpoint when you have up to 200 label review records and need both a grouped numeric summary and missing-value imputation in a single API call for $0.01 USDC. Prefer this over general-purpose analytics tools when working specifically with reviewed_records and changed_labels fields structured around dataset groups and dates, and when you need both reports delivered together without any external data lookups or model predictions.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) cause validation errors
- Values outside numeric bounds (±1,000,000,000,000) are rejected
- Invalid method enum value (not zero, mean, or median) causes parameter error
- Invalid field enum value (not reviewed_records or changed_labels) causes parameter error
- Empty rows array returns error

## How this service works

Label review — Grouped numeric summary + Explicit missing-value fill: Grouped numeric summary + Explicit missing-value fill 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 reports: (1) a grouped numeric summary showing aggregate statistics (e.g. count, sum, mean, min, max) of the target metric broken down by dataset_group, and (2) a version of the input data where null values in the specified field (reviewed_records or changed_labels) have been replaced using the chosen method (zero, mean, or median). No external lookups or predictions are made.

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/label-review-analytics-grouped-numeric-summary-missing-value-fill-999bd9a4/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)