# Label Review Analytics: Numeric Row Ordering + Adjacent Row Changes

> Label Review Analytics: Numeric Row Ordering + 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).

Analyzes label review records to produce two reports: numeric row ordering and adjacent row changes for reviewed_records or changed_labels fields, across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-116?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-numeric-row-ordering-adjacent-row-changes-cd135a2d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_xACyEuNGZX_3_cvTq5g1k

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-numeric-row-ordering-adjacent-row-changes-cd135a2d -d '<json body>'
```

Example prompt: Can you run the numeric row ordering and adjacent row changes analysis on my label review data? I have rows for group-a and group-b from 2026-10-01 to 2026-10-04 with reviewed_records counts of 10, 20, 15, and 30 — analyze the reviewed_records field.

## When to prefer this

Choose this endpoint when you need lightweight, local analytical reports on label review row data — specifically numeric ordering and adjacent-row delta calculations — without any live data lookup, prediction, or external API calls. Best suited for annotation pipeline monitoring, QA review of labeling sessions, or any scenario where you supply up to 200 structured label review records and need both a ranked order view and a consecutive-row change report for $0.01 USDC.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, reviewed_records, changed_labels) on any row — validation error
- Invalid date format (must match YYYY-MM-DD) — schema validation failure
- Null values in the selected field may affect ordering and delta calculations
- Field enum value not in ['reviewed_records','changed_labels'] — rejected

## How this service works

Label review — Numeric row ordering + Adjacent row changes: Numeric row ordering + 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 analytical reports derived from the supplied rows: (1) a numeric ordering report ranking rows by the selected metric (reviewed_records or changed_labels), and (2) an adjacent row changes report showing the value delta between each consecutive row pair. No external data is fetched; all analysis is performed on the supplied input rows.

## 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-numeric-row-ordering-adjacent-row-changes-cd135a2d/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)