# Pipeline Durations Trailing Mean + IQR Outlier Flags

> Pipeline Durations Trailing Mean + IQR Outlier Flags is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).

Computes a trailing mean time series and flags IQR-based outliers for supplied pipeline duration records (run_seconds and processed_rows).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-05-149?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/pipeline-durations-trailing-mean-iqr-outlier-flags-8ae4779d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_fjNT8UCctVayCq2UcNTog

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-trailing-mean-iqr-outlier-flags-8ae4779d -d '<json body>'
```

Example prompt: Analyze these pipeline run records for me — compute a trailing mean series with a window of 5 and flag any IQR outliers for the run_seconds field: row-1 2024-01-01 group-a 120s 5000 rows, row-2 2024-01-02 group-a 115s 4800 rows, row-3 2024-01-03 group-a 900s 4900 rows, row-4 2024-01-04 group-a 118s 5100 rows, row-5 2024-01-05 group-a 122s 5050 rows.

## When to prefer this

Choose this endpoint when you have raw pipeline duration records (up to 200 rows) and need both a trailing mean trend line and IQR-based anomaly flags computed together in one call without any external data sources. It is ideal for lightweight, self-contained statistical analysis of ETL or batch job performance data where you supply all the data and need fast, reproducible results. Prefer this over general-purpose analytics platforms when you want a simple pay-per-call micro-analysis with no setup.

## Known failure modes

- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — exceeds maximum limit
- Window size larger than the number of supplied rows — trailing mean cannot be computed
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- run_seconds or processed_rows values outside allowed numeric range
- Missing required fields row_id, dataset_group, date, run_seconds, or processed_rows — schema validation error
- Invalid field enum value — must be 'run_seconds' or 'processed_rows'
- Payment not included or insufficient — x402 payment of 0.01 USDC required

## How this service works

Pipeline durations — Trailing mean series + IQR outlier flags: Trailing mean series + IQR outlier flags 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 independent analytical reports: (1) a trailing mean time series for the selected field (run_seconds or processed_rows) computed over the specified rolling window, and (2) IQR-based outlier flags identifying which records fall outside the interquartile fence. Results are computed locally from the supplied data — no external lookups are made. Up to 200 rows and 2 reports per call.

## 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-trailing-mean-iqr-outlier-flags-8ae4779d/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)