# Transformation Throughput Analytics — Numeric Distribution + Daily Sum Series

> Transformation Throughput Analytics — Numeric Distribution + Daily Sum 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).

Computes a numeric distribution report and a daily sum time series for transformation throughput metrics (processed_rows, duration_seconds) from up to 200 supplied records, using local analytical engines with no external lookups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-075?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-daily-sum-8732b75a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Y1c6h1xkZf-G3xbdWc4ac

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-daily-sum-8732b75a -d '<json body>'
```

Example prompt: Can you analyze the distribution and daily totals for my transformation throughput data? I have records with processed_rows and duration_seconds across groups like 'group-a' and 'group-b' from October 2026 — run both the numeric distribution and daily sum series reports on processed_rows for up to 200 rows.

## When to prefer this

Choose this endpoint when you have raw transformation throughput records (processed_rows or duration_seconds) and need both a statistical distribution and a daily aggregate time series in a single low-cost call. It is ideal for data engineering teams auditing ETL pipeline performance, identifying throughput outliers, or reviewing daily processing trends — all from locally supplied data without needing live data connections or external enrichment.

## Known failure modes

- Exceeding 200 rows results in rejection — trim input to 200 records
- Missing required fields (row_id, date, processed_rows, duration_seconds) cause validation errors
- Invalid date format (non-YYYY-MM-DD) fails pattern validation
- Null values in the selected metric field may reduce the usable sample size for distribution
- Field selector must be exactly 'processed_rows' or 'duration_seconds' — other values are rejected

## How this service works

Transformation throughput — Numeric distribution + Daily sum series: Numeric distribution + Daily sum 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 analytical reports: (1) a numeric distribution of the selected metric (processed_rows or duration_seconds) showing frequency, spread, and statistical shape across the supplied rows, and (2) a daily sum time series aggregating the selected metric by date — both computed locally from the supplied data without any external lookup.

## 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-daily-sum-8732b75a/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)