# Duplicate Observations — Duplicate Key Report + Base-100 Series

> Duplicate Observations — Duplicate Key Report + 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).

Generates a duplicate key frequency report and a Base-100 indexed series for supplied duplicate observation records, using local analytical engines with no external lookups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-04-063?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-duplicate-key-report-base-100-series-f2ab2192
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_qEyNA1w4xnTpNchRYLPT2

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-duplicate-key-report-base-100-series-f2ab2192 -d '<json body>'
```

Example prompt: I have up to 200 rows of duplicate observation records with fields like dataset_group, date, duplicate_rows, and total_rows — can you run the duplicate key report plus a Base-100 series on the duplicate_rows field, starting the index at row 0?

## 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 group/date) and need both a categorical duplicate key frequency report AND a Base-100 normalized trend series in a single low-cost call. Prefer it over generic analytics tools when the data is already structured per the schema and you want two independent reports without external API calls or data leaving your control.

## Known failure modes

- Fewer than 1 or more than 200 rows supplied — validation error
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) on any row
- date field does not match YYYY-MM-DD pattern — schema validation failure
- base_index out of range (must be 0–199) — error returned
- Null values in numeric fields may affect series computation
- field enum value not one of 'duplicate_rows' or 'total_rows' — rejection

## How this service works

Duplicate observations — Duplicate key report + Base-100 series: Duplicate key report + 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 analytical reports: (1) a duplicate key report showing frequency and distribution of duplicate observations across dataset groups and dates, and (2) a Base-100 normalized index series for the chosen field (duplicate_rows or total_rows), rebased at the specified row index. Both reports are computed locally from the supplied data with no external calls.

## 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-duplicate-key-report-base-100-series-f2ab2192/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)