# Pipeline Durations Analytics: Exact Row Deduplication + Trailing Mean Series

> Pipeline Durations Analytics: Exact Row Deduplication + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Deduplicates supplied pipeline duration records and computes a trailing moving average series over run_seconds or processed_rows for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-05-045?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/pipeline-durations-analytics-exact-row-deduplication-trailing-mean-cc6b9bbe
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_JaFDXknVAvxffX7WsblMi

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 pipeline-durations-analytics-exact-row-deduplication-trailing-mean-cc6b9bbe -d '<json body>'
```

Example prompt: Can you deduplicate these pipeline run records and compute a trailing mean series with a window of 3 over run_seconds? I have 4 records: row-1 on 2026-10-01 for group-a with 10 run_seconds and 1 processed_row, row-2 on 2026-10-02 for group-b with 20 run_seconds and 2 processed_rows, row-3 on 2026-10-03 for group-a with 15 run_seconds and 3 processed_rows, and row-4 on 2026-10-04 for group-b with 30 run_seconds and 4 processed_rows.

## When to prefer this

Choose this endpoint when you have pipeline duration records (with run_seconds and/or processed_rows) and need both exact duplicate removal and a trailing moving average trend in a single call for up to 200 rows. It is ideal for lightweight, self-contained ETL analytics without any external data enrichment or prediction. Prefer alternatives if you need grouped summaries, outlier detection, string normalization, or more than 2 analytical reports.

## Known failure modes

- Missing required fields (row_id, date, dataset_group) causes validation error
- Fewer than 1 row or more than 200 rows triggers a request rejection
- Window size larger than the number of rows may produce incomplete or empty trailing mean output
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null values in the target numeric field may result in gaps in the trailing mean series

## How this service works

Pipeline durations — Exact row deduplication + Trailing mean series: Exact row deduplication + Trailing mean series for supplied pipeline durations records (run_seconds, processed_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 reports: (1) an exact row deduplication report identifying and removing fully duplicate records from the supplied dataset, and (2) a trailing moving average series computed over the specified numeric field (run_seconds or processed_rows) using the given window size — both derived entirely from the supplied input rows with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "run_seconds",
     "processed_rows"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "run_seconds": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "processed_rows": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "run_seconds": 10,
     "dataset_group": "group-a",
     "processed_rows": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "run_seconds": 20,
     "dataset_group": "group-b",
     "processed_rows": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "run_seconds": 15,
     "dataset_group": "group-a",
     "processed_rows": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "run_seconds": 30,
     "dataset_group": "group-b",
     "processed_rows": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "run_seconds",
    "processed_rows"
   ],
   "type": "string",
   "default": "run_seconds"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/pipeline-durations-analytics-exact-row-deduplication-trailing-mean-cc6b9bbe/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)