# Duplicate Observations — Grouped Numeric Summary + Base-100 Series

> Duplicate Observations — Grouped Numeric Summary + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Computes a grouped numeric summary and a base-100 indexed time series for up to 200 duplicate-observation records containing duplicate_rows and total_rows fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-04-092?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/duplicate-observations-grouped-numeric-summary-base-100-series-fe88a13c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_HUIb4m1v3cMHuNhY_m7bs

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-grouped-numeric-summary-base-100-series-fe88a13c -d '<json body>'
```

Example prompt: Can you run a grouped numeric summary and a base-100 series on these duplicate observation records? I have 4 rows across groups A and B from October 2026, tracking duplicate_rows, and I want the base-100 series anchored to the first row (index 0).

## When to prefer this

Choose this endpoint when you have pre-collected duplicate observation records and need both a grouped statistical summary by category and a normalized base-100 time series in a single API call, without requiring any external data lookup, live prediction, or professional assessment. It is ideal for data quality workflows where you want fast, local analytical computation on up to 200 rows across multiple dataset groups.

## Known failure modes

- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) causes validation error
- Input array exceeds 200 rows maximum — request rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- base_index out of range (0–199) or exceeding the number of supplied rows causes error
- Null numeric values may affect statistical calculations in grouped summary
- Payment of 0.01 USDC not completed — request blocked

## How this service works

Duplicate observations — Grouped numeric summary + Base-100 series: Grouped numeric summary + Base-100 series 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: (1) a grouped numeric summary breaking down duplicate_rows and total_rows statistics by dataset_group, and (2) a base-100 indexed time series for the chosen field (duplicate_rows or total_rows) relative to the specified base_index row, covering up to 200 supplied records.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/duplicate-observations-grouped-numeric-summary-base-100-series-fe88a13c/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)