# Transformation Throughput Analytics — Numeric Distribution & Category Frequencies

> Transformation Throughput Analytics — Numeric Distribution & 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).

Computes numeric distribution statistics and category frequency counts for transformation throughput records (processed_rows and duration_seconds) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-072?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-numeric-distribution-category-abbcae64
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hjZq1xAXgQ03WKhhVtiSv

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-numeric-distribution-category-abbcae64 -d '<json body>'
```

Example prompt: Can you analyze the distribution of processed_rows and the frequency of each dataset_group in my transformation throughput data? I have records for group-a and group-b across October 2026, with processed_rows ranging from 10 to 30 and duration_seconds from 1 to 4.

## When to prefer this

Choose this endpoint when you need fast, local statistical analysis of transformation throughput records — specifically numeric distribution and category frequency — without any external API calls, predictions, or live data lookups. Best suited for ETL pipeline analytics, batch job auditing, and data engineering observability tasks where you have structured throughput logs with processed_rows and duration_seconds fields. Prefer this over general-purpose analytics tools when you want a lightweight, pay-per-call solution with deterministic local computation on up to 200 rows.

## Known failure modes

- Missing required fields (row_id, date, processed_rows, duration_seconds) cause validation errors
- More than 200 rows submitted — request is rejected with a row limit error
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation failure
- Null values in processed_rows or duration_seconds may affect distribution statistics
- Invalid field enum value (not 'processed_rows' or 'duration_seconds') causes a field selection error

## How this service works

Transformation throughput — Numeric distribution + Category frequencies: Numeric distribution + 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 numeric distribution summary for the selected field (processed_rows or duration_seconds), including statistics like min, max, mean, percentiles, and histogram bins; and (2) category frequency counts for the dataset_group field, showing how often each group appears in the supplied rows. 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-numeric-distribution-category-abbcae64/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)