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KiHustle CSV Column Profiler
x402
KiHustle CSV Column Profiler is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).
Profiles a specific column from CSV text, returning statistical or structural analysis of that column's data.
Price / call$0.002
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object with a 'result' field and a 'status' field (e.g. 'success'), along with profiling information about the specified column such as data characteristics, value distribution, null counts, or detected data type.
Example use cases
Data quality check on uploaded CSV
“I just got a CSV export from our CRM and I want to understand what's in the 'email' column — can you profile it and tell me if there are any blanks or weird values? Here's the CSV text.”
Exploratory analysis of sales data
“I have this sales CSV with columns like 'amount', 'date', and 'region'. Can you profile the 'amount' column and give me a sense of the data — what values are there, any nulls, that kind of thing?”
Preprocessing check before ML pipeline
“Before I feed this dataset into a model, can you profile the 'age' column in my CSV to see if there are missing values or outliers I should know about?”
Technical details
Endpoint
POSThttps://kihustle.tech/api/v1/csv-column-profilerWhen to prefer
Choose this endpoint when you need a quick, per-column profile of CSV data — such as checking for nulls, understanding value distribution, or inspecting data types — without uploading a file to a full data warehouse. It is particularly useful for lightweight pre-processing checks or data quality validation in automated pipelines.
Side effects
- Missing required 'column' field returns an error or unexpected result
- Missing or malformed 'csv_text' causes parsing failure
- Column name not found in CSV header may return an error or empty profile
- Very large CSV text may time out or hit payload limits
- Malformed CSV (e.g. inconsistent delimiters) may produce unreliable results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| column | string | |
| csv_text | string |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "processed",
"status": "success"
}
}Tags
x402
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