# Pipeline Durations Grouped Numeric Summary with IQR Outlier Flags

> Pipeline Durations Grouped Numeric Summary with 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 2026-10-16).

Computes grouped descriptive statistics and IQR-based outlier flags for pipeline duration records (run_seconds, processed_rows) across dataset groups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-05-094?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/pipeline-durations-grouped-numeric-summary-with-iqr-outlier-flags-8862e4ec
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Ftd55_hNpHMln_FOK4pCu

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-grouped-numeric-summary-with-iqr-outlier-flags-8862e4ec -d '<json body>'
```

Example prompt: Can you analyze these pipeline run records and give me a grouped numeric summary with IQR outlier flags for the run_seconds field? I have 4 rows: row-1 on 2026-10-01 in group-a ran 10 seconds processing 1 row, row-2 on 2026-10-02 in group-b ran 20 seconds processing 2 rows, row-3 on 2026-10-03 in group-a ran 15 seconds processing 3 rows, and row-4 on 2026-10-04 in group-b ran 30 seconds processing 4 rows.

## When to prefer this

Choose this endpoint when you have pipeline execution records with group labels and need both descriptive group-level statistics and IQR-based outlier detection in a single call, without needing external data lookups or ML-based anomaly detection. Ideal for data engineers auditing ETL job performance, batch pipeline QA, or monitoring run time variance across dataset groups with up to 200 records.

## Known failure modes

- More than 200 rows submitted — request exceeds row limit
- Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Invalid field enum value (must be 'run_seconds' or 'processed_rows') — rejected request
- All null values for selected metric — no computable statistics
- Payment not received — x402 payment required error

## How this service works

Pipeline durations — Grouped numeric summary + IQR outlier flags: Grouped numeric summary + 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 analytical reports: (1) a grouped numeric summary (e.g. count, mean, median, min, max, std dev) of the chosen metric (run_seconds or processed_rows) broken down by dataset_group, and (2) IQR-based outlier flags per row indicating which records fall outside the interquartile range. Up to 200 rows supported 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/pipeline-durations-grouped-numeric-summary-with-iqr-outlier-flags-8862e4ec/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)