# Duplicate Observations — Numeric Distribution + Secondary-Measure Weighted Mean

> Duplicate Observations — Numeric Distribution + 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 2026-10-20).

Computes numeric distribution statistics and a secondary-measure weighted mean for supplied duplicate-observation records (duplicate_rows, total_rows) across up to 200 rows in two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-04-082?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-20
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/duplicate-observations-numeric-distribution-secondary-measure-ecffaa90
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_2TekVZY1mPQgRwq0cbi4D

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-numeric-distribution-secondary-measure-ecffaa90 -d '<json body>'
```

Example prompt: Analyze the numeric distribution and weighted mean of duplicate_rows for these dataset records — I have 4 rows across groups 'group-a' and 'group-b' with dates from 2026-10-01 to 2026-10-04, duplicate_rows values of 10, 20, 15, 30 and total_rows of 1, 2, 3, 4 — run both the distribution and the secondary-measure weighted mean report using 'duplicate_rows' as the primary field.

## When to prefer this

Choose this endpoint when you have pre-collected duplicate observation records (with duplicate_rows and total_rows counts) and need fast, local statistical analysis — specifically a numeric distribution AND a secondary-measure weighted mean — without making any external calls. Ideal for data quality pipelines, ETL audits, or deduplication assessments where you want both a distributional view and a weighted aggregate in one $0.01 call covering up to 200 rows.

## Known failure modes

- Fewer than 1 row supplied returns a validation error
- More than 200 rows causes rejection (maxItems constraint)
- Null or missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) cause schema validation failure
- Date values not matching YYYY-MM-DD pattern are rejected
- Numeric values outside ±1 trillion bounds are rejected
- Invalid 'field' enum value (anything other than 'duplicate_rows' or 'total_rows') causes a validation error

## How this service works

Duplicate observations — Numeric distribution + Secondary-measure weighted mean: Numeric distribution + 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

Returns two independent analytical reports for the supplied rows: (1) a numeric distribution of the chosen field (duplicate_rows or total_rows) across up to 200 observations, and (2) a secondary-measure weighted mean where one field is weighted by the other. No live lookups or external data are used — analysis is local and deterministic.

## 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-numeric-distribution-secondary-measure-ecffaa90/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)