# Transformation Throughput — Grouped Numeric Summary + Base-100 Series

> Transformation Throughput — Grouped Numeric Summary + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).

Generates two analytical reports for transformation throughput data: a grouped numeric summary and a base-100 indexed series for processed_rows or duration_seconds fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-092?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-grouped-numeric-summary-base-100-series-45c9e809
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_CehtwhmM4ZlnnBSSnvZ-s

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-grouped-numeric-summary-base-100-series-45c9e809 -d '<json body>'
```

Example prompt: I have transformation throughput records with processed_rows and duration_seconds across groups like 'group-a' and 'group-b' — can you generate a grouped numeric summary and a base-100 series for processed_rows, using row index 0 as the base, for up to 200 rows?

## When to prefer this

Choose this endpoint when you have transformation throughput records (processed_rows, duration_seconds) grouped by dataset categories and need both a descriptive grouped summary AND a base-100 normalized trend series in a single low-cost call. Prefer this over single-report endpoints when you need both reports together for the same dataset to save on calls. Ideal for ETL performance reviews, pipeline benchmarking, and data engineering monitoring dashboards where relative indexing against a baseline is needed alongside group-level statistics.

## Known failure modes

- Fewer than 1 row supplied returns an error
- More than 200 rows supplied exceeds the limit and is rejected
- Invalid date format (not YYYY-MM-DD) fails schema validation
- base_index out of range (>= number of rows supplied) may produce an error or undefined behavior
- Missing required fields (row_id, dataset_group, date) cause schema validation failure
- Null values in processed_rows or duration_seconds may affect numeric summary accuracy

## How this service works

Transformation throughput — Grouped numeric summary + Base-100 series: Grouped numeric summary + Base-100 series 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 reports: (1) a grouped numeric summary with descriptive statistics (e.g. mean, min, max, count) for the selected field broken down by dataset_group, and (2) a base-100 indexed series showing the selected field's values normalized relative to the chosen base_index row, enabling trend and relative-change analysis. 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transformation-throughput-grouped-numeric-summary-base-100-series-45c9e809/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)