# Duplicate Observations — Trailing Mean Series + Equal-Width Histogram

> Duplicate Observations — Trailing Mean 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 2026-10-20).

Computes a trailing mean time series and an equal-width histogram for supplied duplicate-row observation records (duplicate_rows, total_rows) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-04-148?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-trailing-mean-series-equal-width-histogram-7ed3eefd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_flVSj3OhkndnTkQbJjtdo

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-trailing-mean-series-equal-width-histogram-7ed3eefd -d '<json body>'
```

Example prompt: I have 10 records of duplicate-row observations across two dataset groups from October 2026 — can you run a trailing mean series with a window of 3 and a 5-bin equal-width histogram on the duplicate_rows field?

## When to prefer this

Choose this endpoint when you have pre-collected duplicate observation records with date, group, and row count fields and need two complementary statistical views — a rolling mean trend and a frequency histogram — in a single low-cost call. Ideal for data quality pipelines, audit workflows, or monitoring dashboards that already have the raw duplicate counts and need fast local analytics without external data fetching or prediction.

## Known failure modes

- Fewer than 1 or more than 200 rows provided — request rejected
- Window size larger than number of rows — trailing mean may return empty or reduced series
- Invalid date format (not YYYY-MM-DD) — validation error
- Bin count outside 1–30 range — rejected
- Field value outside allowed numeric range (±1,000,000,000,000) — validation error
- Null values in duplicate_rows or total_rows may reduce effective sample size for statistics

## How this service works

Duplicate observations — Trailing mean series + Equal-width histogram: Trailing mean 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 analytical reports: (1) a trailing mean time series showing rolling averages of the selected field (duplicate_rows or total_rows) over the specified window, and (2) an equal-width histogram distributing values into the specified number of bins with counts per bin. Both reports are computed locally from the supplied data with no external lookups.

## 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/duplicate-observations-trailing-mean-series-equal-width-histogram-7ed3eefd/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)