# Pipeline Durations — Numeric Row Ordering + IQR Outlier Flags

> Pipeline Durations — Numeric Row Ordering + 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 2026-10-19).

Applies numeric row ordering and IQR-based outlier flagging to up to 200 pipeline duration records (run_seconds or processed_rows), returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-05-119?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/pipeline-durations-numeric-row-ordering-iqr-outlier-flags-04454862
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_XVl8szXrwmbV8vbRaA4WB

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-numeric-row-ordering-iqr-outlier-flags-04454862 -d '<json body>'
```

Example prompt: I have 4 pipeline runs — row-1 on 2026-10-01 took 10 seconds and processed 1 row (group-a), row-2 on 2026-10-02 took 20 seconds and 2 rows (group-b), row-3 on 2026-10-03 took 15 seconds and 3 rows (group-a), row-4 on 2026-10-04 took 30 seconds and 4 rows (group-b) — can you rank them by run_seconds and flag any IQR outliers?

## When to prefer this

Choose this endpoint when you need fast, local statistical analysis of pipeline duration or throughput data — specifically numeric ordering and IQR outlier detection — without any external data lookups, predictions, or professional assessments. It is well-suited for batches of up to 200 rows where you want two reports (ranking + outlier flags) in a single low-cost call. Prefer alternatives if you need time-series forecasting, cross-dataset joins, or analysis of fields beyond run_seconds and processed_rows.

## Known failure modes

- Fewer than 1 row provided — minimum 1 row required
- More than 200 rows submitted — exceeds maximum batch size
- Invalid date format (must match YYYY-MM-DD pattern)
- row_id missing or empty — required field
- Selected field not one of run_seconds or processed_rows — invalid enum value
- Null values in the selected numeric field may affect IQR computation
- run_seconds or processed_rows values outside allowed numeric range

## How this service works

Pipeline durations — Numeric row ordering + IQR outlier flags: Numeric row ordering + 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

Two independent analytical reports: one providing numeric row ordering (ranked positions) for the selected field (run_seconds or processed_rows), and one providing IQR-based outlier flags indicating which rows fall outside the interquartile range bounds — all computed locally without 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/pipeline-durations-numeric-row-ordering-iqr-outlier-flags-04454862/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)