How to connect a CSV file to an AI data analyst
Updated 2026-07-01
An AI data analyst is most useful when it runs on your real data. This guide shows how to connect a CSV file so you can ask questions in plain English and get charts, dashboards and reports back — without writing SQL by hand.
The setup takes a few minutes: connect your file or sheet, let the analyst read the schema, and ask your first question. Your data are encrypted, and the analysis runs on your own AI provider key.
- 1
Get your a CSV file connection details
No connection string is needed — you upload the .csv file directly. Make sure the first row contains column headers.
- 2
Understand the read-only model
The file is read for analysis only; nothing is written back. Your uploaded data is encrypted at rest and isn't used to train any model.
- 3
Create your account and add your AI key
Sign up, then add your own AI provider key (bring-your-own-key). If you don't have one yet, a free key takes about a minute to create — your key is encrypted and used only for your requests.
- 4
Add the a CSV file connection
Add a data source, choose file upload, and select your CSV. Column types are inferred automatically; you can correct them and describe columns in plain English.
- 5
Let the AI read and annotate your schema
The analyst treats the file as a table and infers each column's type. Describe any ambiguous columns once so future questions map cleanly.
- 6
Ask your first question in plain English
Ask something like "Total and average of the amount column by category". On complex questions the analyst shows a readable query plan before it runs anything; review it, then get a chart plus the data behind it. Refine by chatting, then pin it to a dashboard or save it as a report.
Why connect a CSV file instead of exporting
A static export goes stale the moment you download it, and a general AI assistant that only sees a pasted file guesses what your columns mean. A connected AI data analyst reads live a CSV file data, shows the query plan before running it, and remembers what your fields mean between sessions — so answers stay current and consistent.
a CSV file: things to know
- A clean header row and consistent types give the best results; avoid blank header cells.
- File upload is a Pro feature; on Free, a Google Sheet is the quickest way to try file-style data.
Example questions to ask your a CSV file data
- Total and average of the amount column by category
- Top 10 rows by value
- Count of records per month from the date column
Keeping it safe
- Your uploaded data is read for analysis only and never written back.
- A read-only SQL guard blocks anything that isn't a read query.
- Connection details and your AI key are encrypted at rest.
- Your business data isn't stored or used to train any model.
Frequently asked questions
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