# Transformation Throughput Analytics — Grouped Numeric Summary + Category Frequencies

> Transformation Throughput Analytics — Grouped Numeric Summary + Category Frequencies 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 statistical reports for transformation throughput data: a grouped numeric summary and category frequency breakdown for processed_rows or duration_seconds fields across dataset groups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-086?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-category-4dd8f0dd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_x8NO9uZCdhReJoT1SQPCE

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-category-4dd8f0dd -d '<json body>'
```

Example prompt: Can you run a grouped numeric summary and category frequency report on these transformation throughput records — I have up to 50 rows with dataset_group, date, processed_rows, and duration_seconds — and focus the numeric analysis on processed_rows?

## When to prefer this

Choose this endpoint when you have up to 200 transformation throughput records with dataset_group categories and numeric fields (processed_rows, duration_seconds) and need both grouped descriptive statistics and category frequency counts in a single paid call. It is ideal for lightweight ETL/pipeline analytics without requiring a full data warehouse or BI tool. Prefer it over generic analytics services when you want a self-contained, low-cost ($0.01 USDC) dual-report computation on supplied data with no external dependencies.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) cause row-level errors
- Invalid date format (not YYYY-MM-DD) may cause parsing failures
- Null numeric values in processed_rows or duration_seconds may be excluded from numeric summaries
- Sending fewer than 1 row returns an error
- Field enum value must be exactly 'processed_rows' or 'duration_seconds'

## How this service works

Transformation throughput — Grouped numeric summary + Category frequencies: Grouped numeric summary + Category frequencies 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 descriptive statistics (e.g. count, min, max, mean) for the chosen field (processed_rows or duration_seconds) broken down by dataset_group, and (2) a category frequency table showing how often each dataset_group appears in the supplied records. Covers up to 200 input rows using local analytical engines 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-category-4dd8f0dd/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)