# Pipeline Durations Grouped Summary with Missing-Value Fill

> Pipeline Durations Grouped Summary with Missing-Value Fill 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 numeric summaries and fills missing values for pipeline duration records (run_seconds, processed_rows) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-05-099?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-summary-with-missing-value-fill-00277cb5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Z9mIjSmiM0j1ap4_-rlza

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-summary-with-missing-value-fill-00277cb5 -d '<json body>'
```

Example prompt: I have 4 pipeline run records across two groups — group-a on 2026-10-01 with run_seconds=10 and processed_rows=1, group-b on 2026-10-02 with run_seconds=20 and processed_rows=2, group-a on 2026-10-03 with run_seconds=null and processed_rows=3, group-b on 2026-10-04 with run_seconds=30 and processed_rows=4 — can you give me a grouped numeric summary for run_seconds and fill any missing values using median?

## When to prefer this

Choose this endpoint when you have pipeline execution records (with run_seconds and processed_rows) that need both grouped statistical summarization and missing-value imputation in a single call. It is ideal for data engineering teams auditing ETL performance or preparing pipeline metrics for downstream analysis, when you need up to 200 rows processed cheaply ($0.01 USDC for two reports) without external lookups or live data fetching.

## Known failure modes

- Fewer than 1 row supplied — rejected by minItems constraint
- Row missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) — validation error
- More than 200 rows submitted — rejected by maxItems constraint
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Invalid fill method or field enum value — rejected input
- Numeric values outside allowed range (±1e12) — validation error

## How this service works

Pipeline durations — Grouped numeric summary + Explicit missing-value fill: Grouped numeric summary + Explicit missing-value fill 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: a grouped numeric summary (e.g. count, mean, median, min, max per dataset_group) for the specified field, and a version of the dataset with missing values in that field explicitly filled using the chosen method (zero, mean, or median). No external data is fetched; all computation is performed on 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/pipeline-durations-grouped-summary-with-missing-value-fill-00277cb5/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)