# Duplicate Observations — Numeric Distribution + Grouped Numeric Summary

> Duplicate Observations — Numeric Distribution + Grouped Numeric Summary 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).

Analyzes up to 200 duplicate-observation records to produce two local analytical reports: a numeric distribution and a grouped numeric summary for duplicate_rows or total_rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-04-071?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-grouped-numeric-summary-65e927a4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_eG1we0-_x8rcF1w4hKHhL

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-grouped-numeric-summary-65e927a4 -d '<json body>'
```

Example prompt: Can you run both the numeric distribution and grouped numeric summary reports on my duplicate observation records? I have up to 50 rows with fields row_id, dataset_group, date, duplicate_rows, and total_rows — I want to analyze the duplicate_rows field.

## When to prefer this

Choose this endpoint when you have up to 200 pre-collected duplicate observation records and need both a numeric distribution and a grouped numeric summary in a single low-cost call. It is ideal for offline/batch data quality audits where no live lookup, prediction, or external data enrichment is needed. Prefer this over single-report alternatives when you specifically need the paired distribution + grouped summary output for the same dataset in one request.

## Known failure modes

- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — exceeds maxItems limit of 200
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) on any row object
- Date field does not match YYYY-MM-DD pattern — validation error
- Invalid field selector — must be 'duplicate_rows' or 'total_rows'
- Null values in numeric fields may affect distribution computation
- Payment not completed — x402 payment of 0.01 USDC required per call

## How this service works

Duplicate observations — Numeric distribution + Grouped numeric summary: Numeric distribution + Grouped numeric summary 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 local analytical reports: (1) a numeric distribution of the selected field (duplicate_rows or total_rows) across all supplied rows, including statistics like min, max, mean, median, and percentile buckets; and (2) a grouped numeric summary breaking down the same field by dataset_group, showing aggregated statistics per group. No external data is fetched; all analysis is performed on the supplied rows.

## 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-grouped-numeric-summary-65e927a4/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)