# Label Review Analytics: Numeric Distribution + Row Ordering

> Label Review Analytics: Numeric Distribution + 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).

Computes numeric distribution statistics and row ordering reports for label review records (reviewed_records and changed_labels fields) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-073?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-numeric-distribution-row-ordering-7942ef4d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_a2HtnYPY0p0Uj8zXcObTn

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-distribution-row-ordering-7942ef4d -d '<json body>'
```

Example prompt: Analyze the distribution of reviewed_records and rank the rows for my label review data — I have 4 entries: row-1 on 2026-10-01 in group-a with 10 reviewed and 1 changed, row-2 on 2026-10-02 in group-b with 20 reviewed and 2 changed, row-3 on 2026-10-03 in group-a with 15 reviewed and 3 changed, row-4 on 2026-10-04 in group-b with 30 reviewed and 4 changed; use reviewed_records as the target field.

## When to prefer this

Choose this endpoint when you have label review data with reviewed_records and changed_labels fields and need both a numeric distribution summary and a ranked ordering of rows in a single $0.01 call. It is purpose-built for annotation quality workflows and ML label review pipelines, operating entirely on supplied data without any external lookups. Prefer it over generic statistics APIs when your data matches the label review schema (row_id, dataset_group, date, reviewed_records, changed_labels) and you want two bundled reports at minimal cost.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, date, reviewed_records, changed_labels) cause row-level validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Numeric values outside allowed range (-1T to +1T) rejected
- All null values for the selected field yields empty or degenerate distribution
- Invalid field enum value (not 'reviewed_records' or 'changed_labels') causes a schema error

## How this service works

Label review — Numeric distribution + Numeric row ordering: Numeric distribution + 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 independent analytical reports: (1) a numeric distribution report showing statistical spread (e.g. min, max, mean, percentiles, histogram bins) for the selected field (reviewed_records or changed_labels), and (2) a row ordering report that ranks the supplied rows by the selected numeric field — all computed locally without any external lookups or predictions, covering up to 200 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-distribution-row-ordering-7942ef4d/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)