# Duplicate Observations — Trailing Mean Series + Base-100 Series

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

Computes a trailing mean time series and a base-100 indexed series for duplicate_rows or total_rows metrics across up to 200 supplied observation records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-04-147?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-base-100-series-b77d03ff
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_fc8ipIB5WIuLglSdYiVxF

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-base-100-series-b77d03ff -d '<json body>'
```

Example prompt: Run both the trailing mean and base-100 series reports on my duplicate observation data — I have 4 records with dates from 2026-10-01 to 2026-10-04, duplicate_rows values of 10, 20, 15, 30, and total_rows of 1, 2, 3, 4, grouped into group-a and group-b. Use a trailing window of 2 and base the index at row 0, analyzing the duplicate_rows field.

## When to prefer this

Choose this endpoint when you have pre-collected duplicate observation records (with duplicate_rows and total_rows per date) and need both a smoothed trailing mean and a base-100 indexed perspective in a single low-cost call. It is ideal for offline data quality trend analysis where no live data lookup or external enrichment is needed. Prefer this over single-report alternatives when you want both trailing mean and base-100 series together for up to 200 rows at $0.01 USDC.

## Known failure modes

- Fewer than 1 row supplied — validation error on minItems constraint
- Window size larger than the number of rows provided — may produce sparse or empty trailing mean output
- base_index out of range for the dataset size — index error
- date strings not matching YYYY-MM-DD pattern — schema validation rejection
- numeric values exceeding ±1,000,000,000,000 — schema validation rejection
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) — validation error

## How this service works

Duplicate observations — Trailing mean series + Base-100 series: Trailing mean series + 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

Two independent analytical reports: (1) a trailing mean series smoothing the selected metric (duplicate_rows or total_rows) over the specified window, and (2) a base-100 indexed series anchored to the specified base index row — both derived purely from the supplied input records, with no external 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/duplicate-observations-trailing-mean-series-base-100-series-b77d03ff/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)