# Duplicate Observations Analytics: Base-100 Series + Equal-Width Histogram

> Duplicate Observations Analytics: Base-100 Series + Equal-Width Histogram 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 a Base-100 indexed time series and an equal-width histogram for supplied duplicate observation records (duplicate_rows, total_rows) using local analytical engines.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-04-163?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-equal-width-histogram-4e8cfbee
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_2mm12ew6kM2Es87xbqdKt

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-equal-width-histogram-4e8cfbee -d '<json body>'
```

Example prompt: Analyze these duplicate observation records for the 'inventory' dataset — 4 rows from 2026-10-01 to 2026-10-04 with duplicate_rows values of 10, 20, 15, 30 and total_rows of 1, 2, 3, 4 — and give me both a base-100 indexed series starting from the first row and an equal-width histogram with 5 bins for the duplicate_rows field.

## When to prefer this

Choose this endpoint when you need both a normalized time-series index (base-100) and a frequency distribution histogram for duplicate observation data in a single call, without requiring external data sources or live lookups. It is ideal for data quality auditing workflows where you have pre-collected duplicate_rows and total_rows metrics and want local statistical summaries. Prefer this over generic analytics platforms when you need a lightweight, pay-per-call computation on up to 200 rows of duplicate detection results.

## Known failure modes

- Empty or missing rows array returns a validation error
- Row count exceeding 200 items is rejected
- Invalid date format (non-YYYY-MM-DD) causes schema validation failure
- base_index value pointing beyond the last row index causes an out-of-range error
- bins value outside 1–30 is rejected
- null values in duplicate_rows or total_rows may affect histogram bin computation
- Missing required row fields (row_id, dataset_group, date) cause row-level validation errors

## How this service works

Duplicate observations — Base-100 series + Equal-width histogram: Base-100 series + Equal-width histogram 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 Base-100 indexed series that normalizes the selected field (duplicate_rows or total_rows) relative to a chosen baseline row, and (2) an equal-width histogram showing the frequency distribution of that field across a configurable number of bins. Both reports are computed locally from the supplied row data without any external lookups or predictions.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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-equal-width-histogram-4e8cfbee/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)