# Duplicate Observations — Equal-Width Histogram + Explicit Missing-Value Fill

> Duplicate Observations — 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 2026-10-18).

Analyzes duplicate_rows and total_rows data by generating an equal-width histogram and filling missing values with zero, mean, or median — returning two analytical reports for up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-04-175?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-18
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/duplicate-observations-equal-width-histogram-explicit-missing-value-094f43fe
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_VlAmLFtmttHxQfVZclb9y

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 duplicate-observations-equal-width-histogram-explicit-missing-value-094f43fe -d '<json body>'
```

Example prompt: Analyze my duplicate observation records — I have up to 50 rows with duplicate_rows and total_rows fields, some of which have null values. Fill the missing duplicate_rows values using median, then bucket everything into 10 equal-width histogram bins and give me both reports.

## When to prefer this

Choose this endpoint when you need both a histogram distribution view and missing-value imputation for duplicate observation metrics (duplicate_rows, total_rows) in a single cheap call. Ideal for data quality pipelines, ETL monitoring dashboards, or audit workflows where you want to understand the spread of duplication rates and clean nulls before downstream processing — all without sending data to an external ML or prediction service.

## Known failure modes

- More than 200 rows submitted — request exceeds maxItems limit
- Invalid date format in any row — must match YYYY-MM-DD pattern
- bins value out of range — must be between 1 and 30
- No rows provided — minItems is 1
- Invalid enum value for field or method parameters
- Numeric values outside allowed range (-1e12 to 1e12)

## How this service works

Duplicate observations — Equal-width histogram + Explicit missing-value fill: Equal-width histogram + Explicit missing-value fill for supplied duplicate observations records (duplicate_rows, total_rows). 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 of the selected numeric field (duplicate_rows or total_rows) divided into 1–30 bins, showing bin ranges and counts; (2) a missing-value fill report where null values in the selected field are replaced using zero, mean, or median imputation. 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",
     "duplicate_rows",
     "total_rows"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "total_rows": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "duplicate_rows": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "total_rows": 1,
     "dataset_group": "group-a",
     "duplicate_rows": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "total_rows": 2,
     "dataset_group": "group-b",
     "duplicate_rows": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "total_rows": 3,
     "dataset_group": "group-a",
     "duplicate_rows": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "total_rows": 4,
     "dataset_group": "group-b",
     "duplicate_rows": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "duplicate_rows",
    "total_rows"
   ],
   "type": "string",
   "default": "duplicate_rows"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/duplicate-observations-equal-width-histogram-explicit-missing-value-094f43fe/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)