Latenode
AI Agent
OpenAI GPT Assistants
Google sheets
Supabase

Automate data analysis with an AI-powered chatbot assistant

This AI-powered chatbot automation connects to a data source like Google Sheets or a database, interprets natural language queries, and performs data analysis to provide automated insights and visualizations.

The workflow triggers when a chat message is received, then uses an AI agent powered by the OpenAI language model to fetch, filter, and aggregate relevant data. The results are presented back to the user through the chatbot interface. This automation streamlines data analysis tasks, making them more efficient and accessible for end users.

Updated Apr 6, 2026Est. run: 26sEst. cost: $0.0703
How Latenode estimates time and cost

Latenode bills workflow runs in credits: 1 credit = 30 seconds of processing. Minimum charge per run depends on your plan. Plug-and-Play (PnP) AI nodes are billed separately—each PnP token is $1 USD, charged pay-as-you-go at vendor cost plus a small processing fee, with no API keys required.

Full pricing — how credits work →
AI agents & chatbots

Workflow preview

What this template does

  • Connects to a data source like Google Sheets or a database
  • Interprets natural language queries using an AI agent powered by the OpenAI language model
  • Fetches, filters, and aggregates relevant data based on the user's query
  • Provides automated insights and visualizations in the chatbot interface
  • Generates an export-ready data table based on the analysis

How it works

1
Trigger

Receive chat message

The automation is triggered when a chat message is received from the user.

2
AI

Interpret natural language query

The AI agent powered by the OpenAI language model analyzes the user's chat message and interprets their natural language query.

3
Action

Fetch data from data source

The automation fetches relevant data from the connected data source, such as a Google Sheets spreadsheet or a database.

4
Action

Analyze and aggregate data

The fetched data is analyzed and aggregated by the OpenAI chat model to provide relevant insights and visualizations.

5
Action

Store analysis results

The analysis results are stored in a database, such as Supabase, for later retrieval and use.

6
Action

Present insights to user

The automated insights and visualizations are presented back to the user through the chatbot interface, providing them with the requested data analysis.

Setup guide

1

Add Google Sheets Credential

1. In the Latenode Credentials panel, add a new credential for Google Sheets by clicking the 'Add Credential' button and selecting 'Google Sheets' from the list. 2. Follow the authentication flow to grant Latenode access to your Google Sheets account.

2

Add OpenAI Credential

1. In the Latenode Credentials panel, add a new credential for OpenAI by clicking the 'Add Credential' button and selecting 'OpenAI' from the list. 2. Enter your OpenAI API key in the credential settings.

3

Configure AI Agent Node

1. In the Latenode visual builder, add an AI Agent node to your workflow. 2. In the node settings, select the OpenAI credential you created earlier. 3. Configure the AI agent's capabilities, such as the language model, task, and prompt templates.

4

Configure Google Sheets Node

1. In the Latenode visual builder, add a Google Sheets node to your workflow. 2. In the node settings, select the Google Sheets credential you created earlier. 3. Map the desired data fields from your Google Sheets to the node's input parameters.

5

Configure Output Formatting

1. In the Latenode visual builder, add a Code node to your workflow. 2. In the node settings, write the logic to format the AI agent's output and prepare it for presentation in the chatbot interface.

Requirements

Create a Google Sheets or Supabase database to store the data fetched and analyzed by the chatbot
Obtain an OpenAI API key to leverage the GPT language model for natural language processing and generation
Configure the AI agent with the OpenAI API key and define the prompts and parameters for data analysis and insight generation
Set up the chatbot integration to securely connect to the data source (Google Sheets or Supabase) and the OpenAI API

FAQ

Common questions about this template

This AI-powered chatbot automation connects to a data source like Google Sheets or a database, interprets natural language queries, and performs data analysis to provide automated insights and visualizations. The workflow triggers when a chat message is received, then uses an AI agent powered by the OpenAI language model to fetch, filter, and aggregate relevant data. The results are presented back to the user through the chatbot interface. This automation streamlines data analysis tasks, making them more efficient and accessible for end users.
Contact support →

More templates

You might also like

Browse all templates →
AI agents & chatbots

Automate Slack messaging with OpenAI GPT-3 completions

This automation allows users to automatically generate and send Slack messages based on specific prompts or triggers, leveraging the power of OpenAI's GPT-3 API. The automation is designed for AI, agents, and chatbot enthusiasts who want to create dynamic and personalized Slack communications without manual intervention. The automation connects to the Slack API and OpenAI's GPT-3 API to generate and send messages in response to defined triggers, such as specific keywords or phrases. This can be useful for automating routine updates, responding to customer inquiries, or generating creative content for Slack channels.

26s$0.0703
AI agents & chatbots

Transcribe Google Drive audio to text and send via email

This automation template helps users transcribe audio files stored in their Google Drive using the OpenAI Whisper AI model, and then automatically deliver the transcribed text via email. It provides a convenient way to convert audio recordings into text-based content that can be easily shared and referenced. The workflow is manually triggered, requiring the user to specify the Google Drive folder containing the audio files. The template then retrieves the files, transcribes them using the OpenAI Whisper API, and constructs an email message with the transcribed text, which is then sent to the designated recipient.

8s$0.0005
AI agents & chatbots

Automate Google Ads copywriting across multiple campaigns

This automation solution allows users to generate Google Ads headlines and descriptions directly within Google Sheets, using the OpenAI API to automate the ad copywriting process across multiple campaigns. The tool streamlines ad creation by leveraging AI-powered text generation, enabling marketers to efficiently produce high-performing ad copy at scale. By integrating with Google Sheets and the OpenAI API, this solution simplifies the ad creation workflow, saving time and improving campaign performance.

26s$0.0703