# Data Pipeline Runs – Trailing Mean Series

> Data Pipeline Runs – 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 2026-10-17).

Computes a rolling/trailing mean time series for data pipeline run metrics (processed rows or rejected rows) over a specified window, grouped by pipeline.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ar-analytics-pipeline-runs-rolling?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-17
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-pipeline-runs-trailing-mean-series-82329713
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_L-wwTxTt22Xer7Cu_E5HI

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 data-pipeline-runs-trailing-mean-series-82329713 -d '<json body>'
```

Example prompt: Can you compute a trailing mean series for processed_rows across my pipeline runs using a window of 7, grouping by pipeline? Here are my records: pipeline-a processed 500 rows on 2024-01-01, pipeline-b processed 300 on 2024-01-02, and so on for the past 30 days.

## When to prefer this

Choose this endpoint when you have raw time-series pipeline run data and need a quick, cheap ($0.01 USDC) local descriptive rolling average — no external data sources, no forecasting, no enrichment. Ideal for smoothing noisy daily pipeline metrics (processed or rejected rows) for a small set of pipelines when you want a trailing mean report rather than forecasts or anomaly detection.

## Known failure modes

- Fewer records than the window size yields no or partial mean values for early rows
- Missing or null metric values for processed_rows or rejected_rows may reduce window coverage
- Malformed date strings not matching YYYY-MM-DD pattern will cause validation errors
- Providing more than 200 rows exceeds the maxItems limit and will be rejected
- Window value below 2 or above 200 will fail schema validation

## How this service works

Data pipeline runs - Trailing mean series: Trailing mean series for Data pipeline runs. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded trailing mean series report.

## Output

Returns a rolling/trailing mean series computed from the supplied pipeline run records, where each data point represents the average of the chosen metric (processed_rows or rejected_rows) over the specified trailing window, segmented by pipeline name. Up to 200 input records are supported. Output is a bounded local descriptive analytics report with no forecasting or external enrichment.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "pipeline",
     "date",
     "processed_rows",
     "rejected_rows"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "pipeline": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "rejected_rows": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "processed_rows": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "pipeline": "group-a",
     "rejected_rows": 1,
     "processed_rows": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "pipeline": "group-b",
     "rejected_rows": 2,
     "processed_rows": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "pipeline": "group-a",
     "rejected_rows": 3,
     "processed_rows": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "pipeline": "group-b",
     "rejected_rows": 4,
     "processed_rows": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "processed_rows",
    "rejected_rows"
   ],
   "type": "string",
   "default": "processed_rows"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-pipeline-runs-trailing-mean-series-82329713/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)