# Vextorium CSV Stats Profiler

> Vextorium CSV Stats Profiler is a paid API for AI agents from api.vextorium.com, paid per call via x402, $0.004/call, status unknown (last checked 2026-10-11).

Accepts CSV text and returns statistical profiling of each column: row/column counts, data types, min/max/avg/median/sum/stddev, unique values, most frequent values, empty counts, and duplicate row detection.

## Facts

- Endpoint: POST https://api.vextorium.com/v1/csv-stats?utm_source=zero.xyz
- Price: $0.004/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-11
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/vextorium-csv-stats-profiler-437d97a7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_2aLqBtNhLSWnQMkDhho6m

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 vextorium-csv-stats-profiler-437d97a7 -d '<json body>'
```

Example prompt: Can you profile this CSV data for me and give me column statistics — things like min, max, average, median, unique counts, and most frequent values? Here's the CSV text: city,month,sales\nMadrid,1,100\nBarcelona,1,80\nMadrid,2,120

## When to prefer this

Choose this endpoint when you need rapid, per-column statistical profiling of CSV data without setting up a local data processing environment. It is ideal for data quality checks before ETL pipelines, exploratory data analysis on unknown datasets, or when you need a quick summary of numeric distributions and categorical frequencies in tabular data. It handles delimiter auto-detection and type inference, saving preprocessing steps. Prefer this over general-purpose code execution endpoints when you want a structured JSON profile without writing custom analysis code.

## Known failure modes

- CSV text exceeds 5 MB limit — request rejected
- Malformed or unparseable CSV content — parsing error returned
- Missing required 'content' field in body — validation error
- Ambiguous delimiter not correctly detected — incorrect column parsing
- All-empty columns or fully blank CSV — partial or empty profile returned
- Network timeout for very large CSVs near the size limit

## How this service works

Profile a CSV (delimiter auto-detected): rows, columns, type of each column, nulls, unique values, min, max, mean, median, std, sum, top values, duplicate rows and a sample. Understand a dataset before using it.

## Output

A JSON object containing: total row count, column count, detected delimiter, a sample of the first rows, a duplicate row count, and a per-column profile array. Each column profile includes: column name, inferred data type (str, int64, etc.), count of empty values, count of unique values, average string length (for text), and for numeric columns: min, max, sum, average, median, and standard deviation. Most frequent values with occurrence counts are also included for each column.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method",
    "bodyType",
    "body"
   ],
   "properties": {
    "body": {
     "required": [
      "content"
     ],
     "properties": {
      "content": {
       "type": "string",
       "description": "CSV text (up to 5 MB)"
      },
      "delimiter": {
       "type": "string"
      }
     }
    },
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "POST"
     ],
     "type": "string"
    },
    "bodyType": {
     "enum": [
      "json",
      "form-data",
      "text"
     ],
     "type": "string"
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": [
      "object",
      "null"
     ],
     "properties": {
      "rows": {
       "type": [
        "number",
        "null"
       ]
      },
      "sample": {
       "type": [
        "array",
        "null"
       ],
       "items": {
        "type": [
         "null",
         "object"
        ],
        "properties": {
         "city": {
          "type": [
           "null",
           "string"
          ]
         },
         "month": {
          "type": [
           "null",
           "number"
          ]
         },
         "sales": {
          "type": [
           "null",
           "number"
          ]
         }
        }
       }
      },
      "columns": {
       "type": [
        "number",
        "null"
       ]
      },
      "profile": {
       "type": [
        "array",
        "null"
       ],
       "items": {
        "type": [
         "null",
         "object"
        ],
        "properties": {
         "avg": {
          "type": [
           "number",
           "null"
          ]
         },
         "max": {
          "type": [
           "number",
           "null"
          ]
         },
         "min": {
          "type": [
           "number",
           "null"
          ]
         },
         "sum": {
          "type": [
           "number",
           "null"
          ]
         },
         "type": {
          "type": [
           "null",
           "string"
          ]
         },
         "empty": {
          "type": [
           "null",
           "number"
          ]
    
… (truncated)
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "rows": 3,
  "sample": [
   {
    "city": "Madrid",
    "month": 1,
    "sales": 100
   },
   {
    "city": "Barcelona",
    "month": 1,
    "sales": 80
   }
  ],
  "columns": 3,
  "profile": [
   {
    "type": "str",
    "empty": 0,
    "column": "city",
    "unique": 2,
    "avg_length": 7,
    "most_frequent": [
     {
      "times": 2,
      "value": "Madrid"
     },
     {
      "times": 1,
      "value": "Barcelona"
     }
    ]
   },
   {
    "avg": 100,
    "max": 120,
    "min": 80,
    "sum": 300,
    "type": "int64",
    "empty": 0,
    "column": "sales",
    "median": 100,
    "unique": 3,
    "deviation": 20,
    "most_frequent": [
     {
      "times": 1,
      "value": 100
     },
     {
      "times": 1,
      "value": 80
     }
    ]
   }
  ],
  "delimiter": ",",
  "duplicate_rows": 0
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/vextorium-csv-stats-profiler-437d97a7/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.vextorium.com](https://www.zero.xyz/host/api.vextorium.com/llms.txt)