# Data Pipeline Runs – Date by Category Pivot

> Data Pipeline Runs – Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).

Generates a date-by-category pivot table for data pipeline run metrics (processed rows or rejected rows) across up to 200 supplied records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ar-analytics-pipeline-runs-pivot?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-21
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-pipeline-runs-date-by-category-pivot-d7bdaead
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_wGxAm6jo03rMTyxfV4B_F

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-date-by-category-pivot-d7bdaead -d '<json body>'
```

Example prompt: Pivot my pipeline run data by date and pipeline category — I have records for pipelines 'ingest' and 'transform' across the past week, up to 50 rows total, and I want to see processed_rows broken down by each pipeline per day.

## When to prefer this

Choose this endpoint when you have pipeline run records with date and category (pipeline name) dimensions and need a quick local pivot table for descriptive analytics — no external data enrichment, forecasting, or ML is required. Ideal for operational dashboards, QA audits, or ad-hoc pipeline performance reviews where data stays local and results are needed fast at minimal cost ($0.01 USDC).

## Known failure modes

- Input array is empty or missing (minItems: 1 violation)
- Input exceeds 200 records (maxItems: 200 violation)
- Invalid date format — must match YYYY-MM-DD pattern
- Unknown field value — must be 'processed_rows' or 'rejected_rows'
- Numeric values out of allowed range (±1,000,000,000,000)
- Missing required fields: row_id, pipeline, date, processed_rows, or rejected_rows
- Payment not received or insufficient USDC balance

## How this service works

Data pipeline runs - Date by category pivot: Date by category pivot 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 date by category pivot report.

## Output

Returns a pivot table where rows represent dates and columns represent pipeline category names, with each cell containing the aggregated value of the chosen metric field (processed_rows or rejected_rows). Covers up to 200 input records and provides local descriptive analytics with no enrichment or forecasting.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-pipeline-runs-date-by-category-pivot-d7bdaead/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)