# Pipeline Durations Analytics — Record Quality Audit + Daily Sum Series

> Pipeline Durations Analytics — Record Quality Audit + Daily Sum Series 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).

Performs two independent local analytical reports on pipeline duration records: a record quality audit and a daily sum time series, covering up to 200 rows of run_seconds or processed_rows data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-05-009?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-analytics-record-quality-audit-daily-sum-series-883c151b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_d38M5lfg3H1UrtSdsiewm

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-analytics-record-quality-audit-daily-sum-series-883c151b -d '<json body>'
```

Example prompt: I have up to 200 pipeline run records with fields like run_seconds, processed_rows, dataset_group, and date — can you run a record quality audit and a daily sum series on the run_seconds field for me?

## When to prefer this

Choose this endpoint when you have up to 200 pipeline execution records and need both a data quality audit and a daily aggregated sum series in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical checks on ETL or data pipeline metrics (run_seconds, processed_rows) where no live data, external lookups, or predictions are needed — just fast, local statistical reporting on supplied data.

## Known failure modes

- Exceeding 200 rows causes rejection — trim input to 200 records
- Missing required fields (row_id, date, dataset_group, run_seconds, processed_rows) cause validation errors
- Date values not matching YYYY-MM-DD pattern are rejected
- Field selector must be exactly 'run_seconds' or 'processed_rows'; other values fail
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array is not accepted (minItems: 1)
- Payment failure (insufficient USDC) prevents processing

## How this service works

Pipeline durations — Record quality audit + Daily sum series: Record quality audit + Daily sum series 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 flagging issues such as nulls, out-of-range values, or malformed entries across the supplied rows, and (2) a daily sum time series aggregating the selected metric (run_seconds or processed_rows) by date, computed entirely from the supplied data using local analytical engines 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-analytics-record-quality-audit-daily-sum-series-883c151b/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)