# Label Review Analytics: Category Frequencies + Adjacent Row Changes

> Label Review Analytics: Category Frequencies + 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 2026-10-24).

Computes category frequency distribution and adjacent-row delta analysis for label review records (reviewed_records or changed_labels) across up to 200 rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-104?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-category-frequencies-adjacent-row-changes-c10c79f9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hJoZ7V1qsL7L329mGP_4K

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-category-frequencies-adjacent-row-changes-c10c79f9 -d '<json body>'
```

Example prompt: Analyze my label review data for the last week — I have rows with dataset_group, date, reviewed_records, and changed_labels fields — and give me both a category frequency breakdown by group and the adjacent row changes for the reviewed_records field. Here are the rows: [{"row_id":"r1","date":"2024-11-01","dataset_group":"images","reviewed_records":120,"changed_labels":15},{"row_id":"r2","date":"2024-11-02","dataset_group":"text","reviewed_records":95,"changed_labels":8},{"row_id":"r3","date":"2024-11-03","dataset_group":"images","reviewed_records":140,"changed_labels":22}].

## When to prefer this

Choose this endpoint when you have structured label review tabular data (up to 200 rows) and need both a category frequency distribution across dataset groups AND sequential adjacent-row change analysis in a single call for a flat $0.01 USDC fee. It is ideal for ML/annotation pipelines auditing label correction rates or review throughput over time. Prefer alternatives if you need live data lookup, predictive modeling, more than 200 rows, or only one of the two reports.

## Known failure modes

- Rows array exceeds 200 items — request rejected
- Missing required row fields (row_id, dataset_group, date, reviewed_records, changed_labels) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Numeric fields outside allowed range (-1T to 1T) — rejected
- Empty rows array — minItems:1 violated
- Invalid field enum value (must be 'reviewed_records' or 'changed_labels') — error

## How this service works

Label review — Category frequencies + Adjacent row changes: Category frequencies + 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

Returns two independent analytical reports: (1) category frequencies showing how often each dataset_group value appears across the supplied rows, and (2) adjacent row changes showing the sequential delta of the selected metric field (reviewed_records or changed_labels) between consecutive rows. Both reports are computed locally 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-category-frequencies-adjacent-row-changes-c10c79f9/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)