# Duplicate Observations Analytics — Base-100 Series + Date by Category Pivot

> Duplicate Observations Analytics — Base-100 Series + Date by Category Pivot 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 analytical reports (Base-100 indexed series and a date-by-category pivot) from supplied duplicate observation row data, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-04-167?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-base-100-series-date-by-category-pivot-f97c8f40
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_wYNQ0l8OHrISrYeCMnSlw

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-base-100-series-date-by-category-pivot-f97c8f40 -d '<json body>'
```

Example prompt: I have up to 4 rows of duplicate observation data — for group-a and group-b across dates 2026-10-01 through 2026-10-04 — can you run the base-100 series and date-by-category pivot reports on the duplicate_rows field, using index 0 as the base?

## When to prefer this

Choose this endpoint when you have up to 200 rows of duplicate observation data (with duplicate_rows and total_rows per date and group) and need both a normalized base-100 trend series AND a date-by-category pivot in a single low-cost call. It is a self-contained analytical engine requiring no live lookups or external data, making it ideal for reproducible, offline data quality reporting.

## Known failure modes

- Fewer than 1 row or more than 200 rows submitted — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- base_index out of range (0–199) or exceeds supplied row count — index error
- Null or missing required fields (row_id, dataset_group, date) — schema error
- Non-numeric values for duplicate_rows or total_rows — type validation failure

## How this service works

Duplicate observations — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot 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 from the supplied rows: (1) a Base-100 rebase series normalizing the chosen field (duplicate_rows or total_rows) relative to the record at base_index, and (2) a date-by-category pivot table cross-tabulating the chosen field by date and dataset_group. Covers up to 200 input rows with no external data 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/duplicate-observations-analytics-base-100-series-date-by-category-pivot-f97c8f40/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)