Block 1 - Sticky Note
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
How it works: This template demonstrates how to build a low code, AI powered data analysis workflow in n8n. It enables you to connect to various data sources (such as MySQL, Google Sheets, or local...
n8n-nodes-base.stickynote, n8n-nodes-base.manualtrigger, n8n-nodes-base.mysql, n8n-nodes-base.aggregate, n8n-nodes-base.googlesheets, n8n-nodes-base.readwritefile, n8n-nodes-base.extractfromfile, n8n-nodes-base.httprequest
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Ada.im.
Original n8n.io sourceThis template demonstrates how to build a low-code, AI-powered data analysis workflow in n8n. It enables you to connect to various data sources (such as MySQL, Google Sheets, or local files), process and analyze structured data, and generate natural language insights and visualizations using external AI APIs.
Flexible data source selection (MySQL, Google Sheets, Excel/CSV, etc.)
AI-driven data analysis, interpretation, and visualization via HTTP Request nodes
Automated email delivery of analysis results (Gmail node)
Step-by-step sticky notes for credential setup and workflow customization
You can easily create and manage your API Key in the ADA official website - API. To begin with, You need to register for an ADA account.
Once on the homepage, click the bottom left corner to access the API management dashboard.
Here, you can create new APIs and set the credit consumption limit for each API. A single account can create up to 10 APIs.
After successful creation, you can copy the API Key to set credentials. You can also view the credit consumption of each API and manage your APIs.
In HTTP nodes(DataAnalysis, DataInterpretation, and DataVisualization) select Authentication → Generic Credential Type
Choose Header Auth → Create new credential
Name the header Authorization, which must be exactly 'Authorization', and fill in the previously applied API key
The workflow starts by extracting structured data from your chosen source (e.g., database, spreadsheet, or file).
Data is sent to external AI APIs for analysis, interpretation, and visualization, based on your configured queries.
The AI-generated results are converted to HTML or Markdown as needed.
The final report or visualization is sent via email. You can easily adapt this step to other output channels.
Ada API Key: For AI data analysis
Gmail OAuth2: For sending emails (if using Gmail node)
(Optional) Data source credentials: For MySQL, Google Sheets, etc.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 25 workflow blocks. Download the JSON for the full node graph.
| Workflow | AI based data analysis, data visualization and data report with Ada.im |
|---|---|
| Complexity | advanced |
| Nodes | 25 |
| Categories | Document Extraction, Multimodal AI |
| Author | Ada.im |
| Published | 14 Oct 2025 |
Use the JSON export at /data/workflows/9605/9605.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
How it works: This template demonstrates how to build a low code, AI powered data analysis workflow in n8n. It enables you to connect to various data sources (such as MySQL, Google Sheets, or local...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, Multimodal AI use case.