# Label Review Analytics: Grouped Numeric Summary + Numeric Row Ordering

> Label Review Analytics: Grouped Numeric Summary + Numeric Row Ordering 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).

Produces two analytical reports from label review records: a grouped numeric summary (by dataset_group) and a numeric row ordering, for up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-087?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-analytics-grouped-numeric-summary-numeric-row-ordering-115faeaf
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_6-4lOC-nSuQ2GmF8noxET

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-numeric-row-ordering-115faeaf -d '<json body>'
```

Example prompt: Can you run a grouped numeric summary and a numeric row ordering on my label review data? I have 4 rows across two dataset groups — group-a and group-b — with dates from 2026-10-01 to 2026-10-04, reviewed_records counts of 10, 20, 15, and 30, and changed_labels of 1, 2, 3, and 4. Use reviewed_records as the field for ordering.

## When to prefer this

Choose this endpoint when you need both a grouped aggregate summary and a numeric row ranking for label review data (reviewed_records, changed_labels) in a single $0.01 call covering up to 200 rows. It is purpose-built for ML label review analytics and requires no external data sources or predictions — ideal for offline or batch post-processing of review session logs.

## Known failure modes

- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) — validation error
- Date field not in YYYY-MM-DD format — schema validation failure
- Numeric fields outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — rejected
- Invalid field enum value (must be 'reviewed_records' or 'changed_labels') — validation error
- Empty rows array — rejected due to minItems constraint

## How this service works

Label review — Grouped numeric summary + Numeric row ordering: Grouped numeric summary + Numeric row ordering 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 analytical reports: (1) a grouped numeric summary aggregating reviewed_records or changed_labels statistics by dataset_group, and (2) a numerically ordered ranking of all input rows by the selected field. Both reports are 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/label-review-analytics-grouped-numeric-summary-numeric-row-ordering-115faeaf/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)