# Label Review Analytics — Grouped Numeric Summary + Adjacent Row Changes

> Label Review Analytics — Grouped Numeric Summary + Adjacent Row Changes 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 adjacent row change series for reviewed_records or changed_labels fields, processing up to 200 rows locally.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-091?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-adjacent-row-changes-e8b38290
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_e7B66gQ9MrqSLLkwjIrp5

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-adjacent-row-changes-e8b38290 -d '<json body>'
```

Example prompt: I have label review data with rows across two dataset groups — 'alpha' and 'beta' — for dates in October 2026, each with reviewed_records and changed_labels counts. Can you give me a grouped numeric summary by dataset group AND show the adjacent row-to-row changes for the reviewed_records field across all rows?

## When to prefer this

Choose this endpoint when you have label review or annotation quality data structured with dataset groups, dates, reviewed record counts, and changed label counts, and you need both a grouped aggregate summary AND a sequential row-change series in a single low-cost call. It is ideal for ML ops teams monitoring annotation batches, QA pipelines checking labeling consistency, or data scientists tracking label correction rates over time — without needing any live data lookup, model prediction, or external enrichment.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern rejected
- Numeric values outside ±1,000,000,000,000 range rejected
- Empty rows array not accepted (minItems: 1)
- Invalid field selector (must be 'reviewed_records' or 'changed_labels')

## How this service works

Label review — Grouped numeric summary + Adjacent row changes: Grouped numeric summary + Adjacent row changes 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 co-generated reports: (1) a grouped numeric summary aggregating reviewed_records or changed_labels statistics broken down by dataset_group, and (2) an adjacent row changes series showing the delta between consecutive rows for the selected field — all computed locally from the supplied rows, with no external data fetched.

## 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-adjacent-row-changes-e8b38290/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)