# Pipeline Durations — Record Quality Audit + Adjacent Row Changes

> Pipeline Durations — Record Quality Audit + Adjacent Row Changes 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 local analytical reports on pipeline duration data: a record quality audit and an adjacent-row change analysis, for up to 200 rows of run_seconds or processed_rows metrics.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-05-011?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-adjacent-row-changes-ac06d390
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_TnR063diIOmvku3KD9h9G

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-adjacent-row-changes-ac06d390 -d '<json body>'
```

Example prompt: Audit my pipeline duration records for data quality issues and check for adjacent-row changes in run_seconds — here are my rows: [{"row_id":"r1","dataset_group":"etl-prod","date":"2024-01-15","run_seconds":120,"processed_rows":5000},{"row_id":"r2","dataset_group":"etl-prod","date":"2024-01-16","run_seconds":null,"processed_rows":4800}].

## When to prefer this

Use this endpoint when you have pipeline duration data (run_seconds, processed_rows) and need both a data quality audit and a consecutive-row change analysis in a single low-cost call. Ideal for pre-analysis validation of ETL logs or monitoring pipeline performance consistency. Not suitable when you need live data fetching, predictions, external benchmarks, or more than 200 rows per call.

## Known failure modes

- Fewer than 1 row supplied — minimum array size is 1
- More than 200 rows supplied — exceeds maxItems limit
- Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) on any row
- Date not in YYYY-MM-DD format — fails pattern validation
- Field selector not one of 'run_seconds' or 'processed_rows' — enum validation error
- Payment not provided or insufficient — x402 payment required ($0.01 USDC)

## How this service works

Pipeline durations — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes 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: (1) a record quality audit identifying issues such as null values, out-of-range numbers, or malformed fields across the supplied rows, and (2) an adjacent-row change analysis showing how the selected metric (run_seconds or processed_rows) shifts between consecutive records. All computation is performed locally with no external lookups or predictions.

## 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-adjacent-row-changes-ac06d390/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)