# Duplicate Observations Analytics: Row Ordering + Equal-Width Histogram

> Duplicate Observations Analytics: Row Ordering + Equal-Width Histogram 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).

Generates two local analytical reports — numeric row ordering and equal-width histogram — for supplied duplicate_rows and total_rows observation data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-04-118?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-analytics-row-ordering-equal-width-histogram-0136d5c4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_C8DwQn773zd3OBVW8tmj8

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-analytics-row-ordering-equal-width-histogram-0136d5c4 -d '<json body>'
```

Example prompt: Can you run a numeric row ordering report and an equal-width histogram with 10 bins on my duplicate observations data — I have 4 records for group-a and group-b from October 2026 with duplicate_rows values of 10, 20, 15, and 30 out of totals of 1, 2, 3, and 4 — and I want to analyze the duplicate_rows field?

## When to prefer this

Choose this endpoint when you need both a ranked ordering of records AND a histogram distribution for duplicate observation data in a single call. It is ideal for data quality profiling workflows where you want to understand the distribution and ordering of duplicate row counts across dataset groups without sending data to an external ML or prediction service. Best suited for batch analytical snapshots of up to 200 rows.

## Known failure modes

- More than 200 rows supplied — request will be rejected
- Invalid date format not matching YYYY-MM-DD pattern
- bins value outside 1–30 range
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows)
- Null values in numeric fields may affect histogram bin calculation
- field enum value not one of 'duplicate_rows' or 'total_rows'

## How this service works

Duplicate observations — Numeric row ordering + Equal-width histogram: Numeric row ordering + Equal-width histogram 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 computed locally on the supplied data: (1) a numeric row ordering report ranking the input records by the selected field (duplicate_rows or total_rows), and (2) an equal-width histogram report dividing the selected field's values into the specified number of equal-width bins with counts per bin. No external lookups or predictions are made; all computation is performed on the provided data (up to 200 rows).

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/duplicate-observations-analytics-row-ordering-equal-width-histogram-0136d5c4/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)