# Label Review Analytics — Numeric Row Ordering + Explicit Missing-Value Fill

> Label Review Analytics — Numeric Row Ordering + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-03).

Sorts label review records by numeric row order and fills missing values in a chosen field using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-124?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-03
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/label-review-analytics-numeric-row-ordering-explicit-missing-value-fill-7534feb9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_MYB9ffMUnvd348e2YotdS

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-explicit-missing-value-fill-7534feb9 -d '<json body>'
```

Example prompt: Sort my label review records by numeric row order and fill any missing reviewed_records values using median imputation — I have 4 rows: row-1 group-a 2026-10-01 reviewed=10 changed=1, row-2 group-b 2026-10-02 reviewed=null changed=2, row-3 group-a 2026-10-03 reviewed=15 changed=3, row-4 group-b 2026-10-04 reviewed=30 changed=4. Give me both analytical reports.

## When to prefer this

Choose this endpoint when you need both numeric row ordering and missing-value imputation applied together to label review data (reviewed_records or changed_labels) in a single $0.01 call that returns two reports. Prefer it over single-report endpoints when you specifically need to clean and sort annotation review records offline without any live lookups or external predictions.

## Known failure modes

- More than 200 rows submitted — request rejected
- Missing required fields (row_id, date, dataset_group) in any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric field values outside allowed range (±1,000,000,000,000) — rejection
- Invalid enum value for field or method parameters — schema error
- Empty rows array — rejected due to minItems:1 constraint

## How this service works

Label review — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill 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 based on the supplied label review rows: the first covering numeric row ordering (rows sorted by their numeric row index), and the second covering explicit missing-value fill (nulls in the chosen field replaced using zero, mean, or median). No external data is fetched; all analysis is performed locally on the submitted 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/label-review-analytics-numeric-row-ordering-explicit-missing-value-fill-7534feb9/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)