# Pipeline Durations IQR Outlier Flags + Date by Category Pivot

> Pipeline Durations IQR Outlier Flags + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).

Analyzes pipeline duration records to produce IQR-based outlier flags and a date-by-category pivot table for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-05-178?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-18
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/pipeline-durations-iqr-outlier-flags-date-by-category-pivot-f1ded088
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_tJ_r32Yy8FdgZAIwrnCns

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-iqr-outlier-flags-date-by-category-pivot-f1ded088 -d '<json body>'
```

Example prompt: Can you run IQR outlier detection and a date-by-category pivot on my pipeline duration data — I have about 50 rows with run_seconds and dataset_group fields, and I want to flag outliers using the run_seconds field?

## When to prefer this

Choose this endpoint when you need both IQR-based statistical outlier detection and a date-by-category pivot table in a single low-cost call for pipeline duration data with up to 200 rows. Ideal for data engineers and analytics agents monitoring ETL job health who want offline, reproducible statistical analysis without live external lookups or ML predictions.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds limit
- Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) in any row
- Invalid date format (must be YYYY-MM-DD) causes schema validation failure
- Null values in the selected field may reduce IQR computation accuracy
- Payment of 0.01 USDC not completed — request not processed

## How this service works

Pipeline durations — IQR outlier flags + Date by category pivot: IQR outlier flags + Date by category pivot 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 for the supplied pipeline records: (1) IQR outlier flags identifying which rows have statistically anomalous values for the selected field (run_seconds or processed_rows), and (2) a pivot table organizing values by date and dataset_group category. No external data is fetched; all computation is local to the supplied rows.

## 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-iqr-outlier-flags-date-by-category-pivot-f1ded088/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)