# Pipeline Durations Analytics — Numeric Row Ordering + Daily Sum Series

> Pipeline Durations Analytics — Numeric Row Ordering + 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).

Computes numeric row ordering and daily sum time series for pipeline duration records (run_seconds and processed_rows) across up to 200 rows in two bundled analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-05-114?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-numeric-row-ordering-daily-sum-series-df2f320e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Kjf4gyW0bSV8ZChPa6wz-

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-numeric-row-ordering-daily-sum-series-df2f320e -d '<json body>'
```

Example prompt: I have a list of pipeline run records with dates, run_seconds, and processed_rows — can you give me numeric row ordering and a daily sum series for the run_seconds field across these up to 200 rows?

## When to prefer this

Use this endpoint when you have up to 200 pipeline duration records and need both a ranked row ordering and a daily sum time series in a single low-cost call ($0.01 USDC for both reports). Prefer it over building custom analytics when you want fast, bundled computation on supplied data without any external lookup or live data dependency. It is best suited for ETL/data engineering monitoring, pipeline throughput auditing, and performance trend analysis over date-stamped run records.

## Known failure modes

- Input array exceeds 200 rows — rejected with validation error
- Missing required fields (row_id, date, dataset_group, run_seconds, processed_rows) on any row — validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Numeric field values outside allowed range (±1,000,000,000,000) — rejected
- Empty rows array (minItems:1 not met) — validation error
- Invalid field enum value (must be run_seconds or processed_rows) — rejected

## How this service works

Pipeline durations — Numeric row ordering + Daily sum series: Numeric row ordering + 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

Two analytical reports: (1) a numeric row ordering of the supplied pipeline duration records ranked by the chosen metric field (run_seconds or processed_rows), and (2) a daily sum time series aggregating the chosen metric by date across all input rows. Reports are computed locally with no external data lookup.

## 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-numeric-row-ordering-daily-sum-series-df2f320e/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)