# Label Review Analytics — Base-100 Series + Explicit Missing-Value Fill

> Label Review Analytics — Base-100 Series + 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 2026-10-15).

Computes a base-100 index series and fills missing values (zero/mean/median) for label review records, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-169?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-base-100-series-explicit-missing-value-fill-c74d60be
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_JEQrYGc5WTbMUGKYGpJSg

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-base-100-series-explicit-missing-value-fill-c74d60be -d '<json body>'
```

Example prompt: Can you run a base-100 series analysis on my label review data — use 'reviewed_records' as the field, fill any missing values with the median, set the base index to row 0, and here are my rows: [{"row_id":"r1","date":"2025-01-01","dataset_group":"group-a","reviewed_records":100,"changed_labels":5},{"row_id":"r2","date":"2025-01-02","dataset_group":"group-a","reviewed_records":null,"changed_labels":8}]?

## When to prefer this

Choose this endpoint when you need both a base-100 normalized time series and explicit missing-value imputation for label review or annotation quality metrics in a single call. It is ideal for offline/batch analysis of up to 200 rows of structured review data without requiring live data lookup or external predictions. Prefer it over generic analytics tools when your data has the reviewed_records/changed_labels schema and you want two complementary reports in one low-cost call.

## Known failure modes

- More than 200 rows submitted — request rejected with validation error
- Invalid date format (not YYYY-MM-DD) — row fails schema validation
- base_index out of range (>=number of rows) — computation error or fallback
- All values null for selected field — mean/median fill may produce NaN or error
- Missing required fields (row_id, date, reviewed_records, changed_labels) — row rejected

## How this service works

Label review — Base-100 series + Explicit missing-value fill: Base-100 series + 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

Returns two independent analytical reports: (1) a base-100 index series normalizing the chosen field relative to the specified base row, and (2) the same series with missing values explicitly filled using the chosen method (zero, mean, or median). Both reports cover all supplied rows (up to 200).

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/label-review-analytics-base-100-series-explicit-missing-value-fill-c74d60be/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)