# Pipeline Durations — Record Quality Audit + Keyed Dataset Comparison

> Pipeline Durations — Record Quality Audit + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Audits record quality and compares two keyed datasets of pipeline duration metrics (run_seconds, processed_rows) for up to 200 rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-05-018?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/pipeline-durations-record-quality-audit-keyed-dataset-comparison-74c85c7d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_I65e7BImndS238iAGMXzl

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-keyed-dataset-comparison-74c85c7d -d '<json body>'
```

Example prompt: Can you audit the quality of these pipeline duration records and compare them against a second dataset? I have two sets of up to 200 rows, each with row_id, dataset_group, date, run_seconds, and processed_rows — just flag any quality issues and show me how the two datasets differ key by key.

## When to prefer this

Choose this endpoint when you need both a data quality audit and a keyed comparison of two pipeline duration datasets in a single call. It is ideal for data engineers validating ETL pipeline metrics, comparing pipeline runs across environments or time periods, and catching data issues before loading. It operates entirely on supplied data with no external lookups, making it suitable for sensitive or offline datasets.

## Known failure modes

- Exceeding 200 rows causes a validation error
- Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) causes rejection
- Invalid date format (non-YYYY-MM-DD) triggers schema validation failure
- Mismatched row_ids between datasets may result in empty or partial comparison report
- Numeric values outside allowed range cause validation failure

## How this service works

Pipeline durations — Record quality audit + Keyed dataset comparison: Record quality audit + Keyed dataset comparison 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 data issues such as nulls, out-of-range values, or malformed entries across the supplied rows, and (2) a keyed dataset comparison report showing row-by-row differences between the primary and secondary datasets based on shared row_id keys. No external data is fetched; all analysis is performed on the supplied data.

## 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}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "run_seconds": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "processed_rows": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "run_seconds": 10,
     "dataset_group": "group-a",
     "processed_rows": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "run_seconds": 20,
     "dataset_group": "group-b",
     "processed_rows": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "run_seconds": 15,
     "dataset_group": "group-a",
     "processed_rows": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "run_seconds": 30,
     "dataset_group": "group-b",
     "processed_rows": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "run_seconds",
     "processed_rows"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "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": 
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/pipeline-durations-record-quality-audit-keyed-dataset-comparison-74c85c7d/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)