# Transformation Throughput Analytics — Grouped Numeric Summary + Date by Category Pivot

> Transformation Throughput Analytics — Grouped Numeric Summary + 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 2026-10-28).

Generates two local analytical reports for transformation throughput data: a grouped numeric summary and a date-by-category pivot, for up to 200 rows of processed_rows and duration_seconds metrics.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-097?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-28
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/transformation-throughput-analytics-grouped-numeric-summary-date-by-bd783548
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_U1f_es7LuGhc4mnXGKpbt

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 transformation-throughput-analytics-grouped-numeric-summary-date-by-bd783548 -d '<json body>'
```

Example prompt: I have up to 200 transformation throughput records with dataset_group, date, processed_rows, and duration_seconds columns — can you run a grouped numeric summary and a date-by-category pivot on the processed_rows field for me?

## When to prefer this

Choose this endpoint when you have transformation throughput records (ETL or data pipeline jobs) and need both a grouped statistical summary and a date-by-category pivot in a single low-cost call. It is ideal for offline/supplied-data analytics where no live lookup or external data is needed, and when your dataset fits within 200 rows. Prefer this over general analytics tools when you specifically need grouped numeric summaries and date pivots together for pipeline throughput metrics (processed_rows or duration_seconds).

## Known failure modes

- Fewer than 1 row supplied — returns validation error
- More than 200 rows supplied — request rejected due to row limit
- Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- field selector not one of 'processed_rows' or 'duration_seconds' — enum validation error
- All null values for selected metric — summary may return empty or zero statistics

## How this service works

Transformation throughput — Grouped numeric summary + Date by category pivot: Grouped numeric summary + Date by category pivot for supplied transformation throughput records (processed_rows, duration_seconds). 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 grouped numeric summary with statistics (e.g. count, sum, mean, min, max) for the selected metric (processed_rows or duration_seconds) broken down by dataset_group, and (2) a date-by-category pivot table showing the selected metric values across dates and groups. Both reports are computed locally 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",
     "processed_rows",
     "duration_seconds"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "processed_rows": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "duration_seconds": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "dataset_group": "group-a",
     "processed_rows": 10,
     "duration_seconds": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "dataset_group": "group-b",
     "processed_rows": 20,
     "duration_seconds": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "dataset_group": "group-a",
     "processed_rows": 15,
     "duration_seconds": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "dataset_group": "group-b",
     "processed_rows": 30,
     "duration_seconds": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "processed_rows",
    "duration_seconds"
   ],
   "type": "string",
   "default": "processed_rows"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transformation-throughput-analytics-grouped-numeric-summary-date-by-bd783548/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)