# Pipeline Durations — Record Quality Audit + Grouped Numeric Summary

> Pipeline Durations — Record Quality Audit + Grouped Numeric Summary 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).

Runs two analytical reports on pipeline duration data: a record quality audit and a grouped numeric summary, for up to 200 rows of run_seconds and processed_rows data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-05-005?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-record-quality-audit-grouped-numeric-summary-afd70621
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_YZ1wixmHfZ5XJUiC4UfWy

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-record-quality-audit-grouped-numeric-summary-afd70621 -d '<json body>'
```

Example prompt: Can you run a record quality audit and grouped numeric summary on my pipeline duration data? I have 4 rows — row-1 on 2026-10-01 for group-a with run_seconds=10 and processed_rows=1, row-2 on 2026-10-02 for group-b with run_seconds=20 and processed_rows=2, row-3 on 2026-10-03 for group-a with run_seconds=15 and processed_rows=3, and row-4 on 2026-10-04 for group-b with run_seconds=30 and processed_rows=4 — analyze the run_seconds field.

## When to prefer this

Choose this endpoint when you need both a data quality audit and grouped descriptive statistics on pipeline duration records in a single call. It is ideal for data engineers and analytics teams who want to validate their ETL pipeline logs and understand performance distributions by dataset group without building their own analysis tooling. Best suited for batch post-hoc analysis of up to 200 pipeline run records when no live prediction or external data enrichment is needed.

## Known failure modes

- More than 200 rows supplied — request rejected or truncated
- Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) cause row-level audit failures
- Invalid date format (not YYYY-MM-DD) triggers validation errors
- Field enum value not in ['run_seconds','processed_rows'] causes request rejection
- All-null values in the selected field may produce empty or degenerate summary statistics
- Malformed JSON body returns 400 error

## How this service works

Pipeline durations — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary 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 independent analytical reports: (1) a record quality audit identifying missing, null, out-of-range, or malformed values across the supplied rows, and (2) a grouped numeric summary with descriptive statistics (e.g. count, mean, min, max) for the selected field (run_seconds or processed_rows) segmented by dataset_group. Both reports are computed locally from the supplied data with no 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-record-quality-audit-grouped-numeric-summary-afd70621/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)