# Pipeline Durations — Grouped Numeric Summary + Category Frequencies

> Pipeline Durations — Grouped Numeric Summary + Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).

Analyzes pipeline duration records by producing a grouped numeric summary and category frequency report for run_seconds or processed_rows fields, grouped by dataset_group.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-05-086?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-12
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/pipeline-durations-grouped-numeric-summary-category-frequencies-f7f93a75
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_gXtlASkAny5_0pGwH0kky

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-category-frequencies-f7f93a75 -d '<json body>'
```

Example prompt: Can you run a grouped numeric summary and category frequency analysis on my pipeline duration records? I have up to 50 rows with fields like row_id, dataset_group, date, run_seconds, and processed_rows — analyze the run_seconds field and group by dataset_group.

## When to prefer this

Choose this endpoint when you have pipeline execution records with run_seconds and processed_rows metrics and need both a grouped statistical summary and category frequency breakdown in a single call for up to 200 rows. It is ideal for lightweight, local analytical computation without needing a full data warehouse or BI tool. Prefer it over generic analytics APIs when your data is already structured with dataset_group labels and you want two complementary views (numeric stats + group counts) in one paid call at $0.01 USDC.

## Known failure modes

- Input array exceeds 200 rows — rejected with validation error
- Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) — row rejected or error returned
- Invalid date format not matching YYYY-MM-DD pattern — validation failure
- Numeric field values out of allowed range — rejected
- Empty rows array — no results returned
- Invalid field enum value (not run_seconds or processed_rows) — error

## How this service works

Pipeline durations — Grouped numeric summary + Category frequencies: Grouped numeric summary + Category frequencies 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) a grouped numeric summary with descriptive statistics (e.g. mean, min, max, count) for the chosen numeric field (run_seconds or processed_rows) broken down by dataset_group, and (2) category frequency counts showing how often each dataset_group appears across the supplied rows. Covers up to 200 input 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-grouped-numeric-summary-category-frequencies-f7f93a75/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)