# Transformation Throughput — Category Frequencies + Equal-Width Histogram

> Transformation Throughput — Category Frequencies + Equal-Width Histogram 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).

Analyzes transformation throughput records by computing category frequencies for dataset_group and an equal-width histogram for either processed_rows or duration_seconds, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-106?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-category-frequencies-equal-width-histogram-8f9c04f2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_XyMWUnBocCvvibFJgTFEk

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-category-frequencies-equal-width-histogram-8f9c04f2 -d '<json body>'
```

Example prompt: Analyze my transformation throughput data — I have up to 50 records with row_id, dataset_group, date, processed_rows, and duration_seconds — give me the category frequencies for each group and an equal-width histogram for processed_rows using 10 bins.

## When to prefer this

Choose this endpoint when you need both a categorical frequency breakdown and a numeric histogram for transformation throughput data in a single call. It is ideal for ETL monitoring, pipeline performance analysis, and data engineering reporting where you have up to 200 records with dataset_group labels and numeric throughput fields. Prefer this over general-purpose analytics tools when you want a lightweight, low-cost ($0.01 USDC) dual-report for processed_rows or duration_seconds without setting up local analysis infrastructure.

## Known failure modes

- More than 200 rows submitted — request rejected due to row limit
- Invalid field value (not 'processed_rows' or 'duration_seconds') — validation error
- bins value outside 1–30 range — validation error
- Missing required row fields (row_id, dataset_group, date, processed_rows, duration_seconds) — schema validation failure
- Null numeric values in the selected field may be excluded or cause partial histogram results
- Invalid date format (not YYYY-MM-DD) — validation error

## How this service works

Transformation throughput — Category frequencies + Equal-width histogram: Category frequencies + Equal-width histogram 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 category frequency table showing how many records belong to each dataset_group value, and (2) an equal-width histogram showing the distribution of the selected numeric field (processed_rows or duration_seconds) divided into the specified number of bins. All analysis is performed locally on the supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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-category-frequencies-equal-width-histogram-8f9c04f2/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)