# Label Review Analytics: Equal-Width Histogram + Explicit Missing-Value Fill

> Label Review Analytics: Equal-Width Histogram + 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 2026-10-24).

Generates two analytical reports for label review records — an equal-width histogram and an explicit missing-value fill — for up to 200 rows of reviewed_records or changed_labels data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-175?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-equal-width-histogram-explicit-missing-value-d98d0c14
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Syvv7pC1gplvK9msFukbp

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-equal-width-histogram-explicit-missing-value-d98d0c14 -d '<json body>'
```

Example prompt: I have 150 label review records with reviewed_records and changed_labels columns — some values are missing. Can you run an equal-width histogram using 10 bins on the reviewed_records field and fill any missing values using the median, then give me both reports?

## When to prefer this

Choose this endpoint when you need quick, local statistical analysis of label review data — specifically a histogram of value distributions combined with missing-value imputation — without any external API calls, predictions, or live data lookups. Best suited for data quality checks, ML pipeline audits, or pre-processing steps where you have up to 200 rows and need two complementary reports in a single cheap call ($0.01 USDC).

## Known failure modes

- More than 200 rows submitted — request rejected due to row limit
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, reviewed_records, changed_labels) cause row rejection
- bins value outside 1–30 range causes validation error
- All values in the selected field are null — histogram may be empty or degenerate
- Numeric values outside allowed range (±1,000,000,000,000) cause validation failure

## How this service works

Label review — Equal-width histogram + Explicit missing-value fill: Equal-width histogram + 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 analytical reports: (1) an equal-width histogram showing the distribution of the chosen field (reviewed_records or changed_labels) across the specified number of bins, and (2) an explicit missing-value fill report where nulls in the chosen field are replaced using the selected method (zero, mean, or median). Both reports are computed locally on the supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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-equal-width-histogram-explicit-missing-value-d98d0c14/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)