# Transformation Throughput Analytics: Equal-Width Histogram + Missing-Value Fill

> Transformation Throughput Analytics: Equal-Width Histogram + Missing-Value Fill 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 an equal-width histogram and an explicit missing-value fill report for transformation throughput records (processed_rows, duration_seconds) from up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-175?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-equal-width-histogram-missing-0f17970a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_mZwApVexDrFCs2lZgOgJw

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-equal-width-histogram-missing-0f17970a -d '<json body>'
```

Example prompt: Can you analyze my ETL throughput data — I have 120 rows with processed_rows and duration_seconds — and give me an equal-width histogram using 10 bins on processed_rows, filling any missing values with the median?

## When to prefer this

Choose this endpoint when you need a quick offline statistical summary of transformation throughput data — specifically a binned frequency distribution and missing-value imputation — without any live data fetching, ML prediction, or external API calls. It is best suited for small-to-medium datasets (up to 200 rows) where you want both a histogram and null-fill in a single low-cost call. Prefer alternatives if you need grouped summaries, correlation analysis, string normalization, or deduplication alongside these operations.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Bins parameter outside 1–30 range causes validation error
- All values for the selected field are null, making mean/median fill undefined
- Missing required fields (row_id) causes row-level errors
- Numeric values outside the allowed range cause validation failures

## How this service works

Transformation throughput — Equal-width histogram + Explicit missing-value fill: Equal-width histogram + Explicit missing-value fill 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) an equal-width histogram showing the frequency distribution of the chosen field (processed_rows or duration_seconds) across the specified number of bins, and (2) a missing-value fill report showing which rows had nulls and what values were imputed using the chosen method (zero, mean, or median). Both reports are computed locally with no external data access.

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transformation-throughput-analytics-equal-width-histogram-missing-0f17970a/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)