# Pipeline Durations — Numeric Row Ordering + Trailing Mean Series

> Pipeline Durations — Numeric Row Ordering + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Computes numeric row ordering and a trailing moving-average series for pipeline duration records (run_seconds or processed_rows) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-05-115?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-numeric-row-ordering-trailing-mean-series-792123d1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_njE1LpO_qEHvHubTeHjbR

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-numeric-row-ordering-trailing-mean-series-792123d1 -d '<json body>'
```

Example prompt: I have 4 pipeline run records with run_seconds values — can you compute numeric row ordering and a trailing mean with window size 2 for the run_seconds field? Rows are: 2026-10-01 row-1 group-a 10s 1 row, 2026-10-02 row-2 group-b 20s 2 rows, 2026-10-03 row-3 group-a 15s 3 rows, 2026-10-04 row-4 group-b 30s 4 rows.

## When to prefer this

Choose this endpoint when you have pipeline duration records and need both a numeric ordering of rows and a rolling/trailing mean series computed locally from your supplied data — with no external data access, no prediction, and a low flat cost for up to 200 rows. Ideal for ETL monitoring, batch job performance review, or pipeline throughput analysis where you want smoothed trend visibility alongside ranked ordering.

## Known failure modes

- Fewer than 1 row submitted — minimum 1 row required
- More than 200 rows submitted — exceeds maximum row limit
- Window size larger than the number of submitted rows — trailing mean may have limited coverage
- Invalid date format — must match YYYY-MM-DD pattern
- Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) — request rejected
- Null numeric values may affect mean calculation for affected windows

## How this service works

Pipeline durations — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean 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 analytical reports: (1) a numeric row ordering of the supplied pipeline records, and (2) a trailing moving-average series computed over the specified window size for the chosen field (run_seconds or processed_rows), both derived entirely 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/pipeline-durations-numeric-row-ordering-trailing-mean-series-792123d1/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)