# Duplicate Observations — Category Frequencies + Secondary-Measure Weighted Mean

> Duplicate Observations — Category Frequencies + Secondary-Measure Weighted Mean 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).

Computes category-frequency distribution and secondary-measure weighted mean for up to 200 duplicate-observation records in two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-04-109?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-category-frequencies-secondary-measure-5a0fa5ec
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Ix4MBlm3xk4Wmts-mYJS3

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-category-frequencies-secondary-measure-5a0fa5ec -d '<json body>'
```

Example prompt: Run category frequency and weighted mean analysis on these duplicate observation records — I have 4 rows across groups 'group-a' and 'group-b' from October 2026, with duplicate_rows counts of 10, 20, 15, 30 and total_rows of 1, 2, 3, 4. Use duplicate_rows as the primary field.

## When to prefer this

Choose this endpoint when you need two specific statistical summaries — category frequency counts and a weighted mean — on duplicate-observation records that you already have locally, and you want both reports in a single low-cost API call. It is ideal for data quality workflows where you want to understand the distribution of duplicate records across categorical groups without sending data to an external analytical platform.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — request rejected
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) — validation error
- Invalid date format (not YYYY-MM-DD) — schema rejection
- Null numeric values that affect weighted mean calculation — may produce NaN or skewed results
- Invalid 'field' enum value outside ['duplicate_rows','total_rows'] — schema rejection

## How this service works

Duplicate observations — Category frequencies + Secondary-measure weighted mean: Category frequencies + Secondary-measure weighted mean 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

Two analytical reports: (1) category frequencies showing how often each dataset_group value appears across the supplied rows, and (2) a secondary-measure weighted mean for either duplicate_rows or total_rows, computed using the other numeric field as weights — all derived locally from the submitted records with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "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-category-frequencies-secondary-measure-5a0fa5ec/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)