The CSV Analyzer Tool
Hand it CSV content and get back column information, inferred data types, numeric statistics, and sample rows — the instant profile an agent needs before it reasons over a dataset, on infrastructure you control.
You can’t analyze a dataset you haven’t profiled
Faced with an unfamiliar CSV, the first questions are always the same: what columns are there, what types, what’s the range, what does a row look like? Answering them by hand for every file is slow, and an agent can’t reason over data it hasn’t profiled.
Unknown shape
You don’t know the columns or types until you inspect them.
Hidden data issues
Bad types and outliers hide until they break the analysis.
Manual profiling is slow
Eyeballing a CSV to understand it doesn’t scale.
Sensitive datasets
Profiling confidential data can’t mean uploading it somewhere.
An instant dataset profile
Profile
Columns, types, and stats
The shape of the data.
The tool parses CSV content and returns the columns, their inferred data types, and numeric statistics — giving an agent the structural picture of a dataset before it reasons over it.
- Column and type detection
- Numeric statistics
- Configurable delimiter and header
- Works on raw CSV content
Columns + types
Samples
Representative rows
See the actual data.
It returns sample rows so an agent — or a person — can see what real records look like, catching formatting quirks and data issues that summary stats alone would miss.
Real records
Governance
On-premise analysis
Data stays internal.
Profiling runs inside your perimeter with audit logging, so even confidential datasets are analyzed without leaving your environment.
Private, logged
Parameters
The csv_analyzer tool accepts these inputs when an agent calls it. Required inputs are flagged.
default: , Optional CSV delimiter character.
default: true Optional Whether the CSV has a header row.
default: 5 Optional Number of sample rows to return (1–100).
default: true Optional Include numeric column statistics.
Where CSV analysis pays back
Data onboarding
Profile a new dataset before working with it.
Quality checks
Catch bad types and outliers early.
Agent grounding
Give an agent the dataset’s shape before analysis.
Report prep
Summarize a CSV for a report or spreadsheet.
Schema discovery
Infer the structure of an unfamiliar export.
Pipeline gating
Validate incoming data before it’s processed.
Assigned to agents, orchestrated as networks
On VDF AI, an industry’s use cases map to agents, and you assign tools like this one to those agents. Compose multiple agents into a governed, on-premise network.
What changes after you assign it
Questions about the CSV Analyzer tool
What does the CSV analyzer do?
It takes CSV content and returns column information, inferred data types, numeric statistics, and sample rows — the instant profile an agent needs to understand a dataset before reasoning over it.
Can it handle non-comma delimiters?
Yes. Set the delimiter parameter for tab- or semicolon-separated files, and has_header to indicate whether the first row is a header.
Does it return real rows?
Yes. It returns up to the sample_size you specify, so you can see what actual records look like, not just summary statistics.
Is data kept private?
Yes. Profiling runs on-premise with audit logging, so confidential datasets never leave your environment.
How is it used by agents?
It is the first step for analytics and strategy agents, often paired with the spreadsheet generator to deliver the resulting analysis.
Assign CSV Analyzer to these agents
These VDF AI agents can be assigned this tool. Open an agent to see the full toolkit it can run.
Tools that work well alongside this one
Where this tool delivers value
Profile any dataset in one call
See the CSV analyzer ground an analytics agent before it reasons over data — on infrastructure you control.