QL-Agent — Your AI Data Analyst, One Prompt Away
Connect datasets, generate SQL queries, build visualizations, produce AI insights, and schedule reports —
all through a single conversational interface. No code. No configuration. No waste of time.
From Prompt to Production — In Seconds
QuantumLayers already makes data ingestion, merging, visualization, and AI interpretation effortless. QL-Agent takes it one step further: describe what you want in plain English, and the agent orchestrates every step automatically — connecting sources, writing queries, building charts, generating insights, and scheduling reports on your behalf.
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Everything You Can Do Manually — Automated Through Conversation
QL-Agent has access to every core function in QuantumLayers. It doesn’t just answer questions about your data — it takes action on your behalf.
Connect Any Data Source
Tell QL-Agent to connect a MySQL database, a REST API, an SFTP server, a Google Sheet, or a CSV from a URL. It handles the configuration, tests the connection, and creates the dataset — all from a single sentence.
Generate SQL Queries From Plain English
Describe the data you need — “get all completed orders from the last 6 months grouped by region” — and QL-Agent connects to your database, reads the schema, writes the SQL, and creates the dataset automatically.
Merge Datasets Across Sources
Ask QL-Agent to combine your CRM export with your order database. It identifies the join columns, selects the right join type, and produces a unified dataset — no schema alignment required from you.
Build & Save Visualizations
Say “show me a scatter plot of revenue vs. acquisition cost” and QL-Agent analyzes the dataset, recommends the best chart types, generates the visualization, and saves it to your dashboard — ready to embed in reports.
Generate AI Insights & Statistical Analysis
Ask “what patterns exist in my sales data?” and QL-Agent runs correlation analysis, ANOVA tests, trend detection, and outlier identification — then translates the statistical findings into plain-language business recommendations.
Schedule Automated Reports
Tell QL-Agent “send me a weekly report every Monday with insights and charts from my sales dataset” — it creates the report, assigns the frequency, attaches your saved charts and AI analysis, and delivers it by email in HTML or PDF.
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How QL-Agent Works
QL-Agent is a conversational AI assistant powered by advanced language models. It has direct access to every QuantumLayers function — dataset creation, data merging, visualization, statistical analysis, AI insights, and report scheduling — and orchestrates them autonomously based on what you ask for.
1. Describe Your Goal
Type a request in natural language. QL-Agent understands complex, multi-step instructions — from “connect my PostgreSQL database and show me monthly revenue trends” to “create a weekly report for my three latest datasets.”
2. QL-Agent Executes
The agent breaks your request into individual actions — connecting data sources, writing queries, generating charts, running statistical tests — and executes each one in sequence. If it needs additional information, it asks before proceeding.
3. Review Your Results
QL-Agent summarizes what it did and delivers the results — new datasets appear in your dashboard, charts are saved and ready to use, insights are generated, and reports are scheduled. Everything is accessible from your existing QuantumLayers workspace.
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Example Prompts
QL-Agent handles everything from simple one-step tasks to complex multi-step workflows. Here are a few examples of what you can ask:
| What you say | What QL-Agent does |
|---|---|
| “Connect to my PostgreSQL database at db.mycompany.com and pull all orders from the last 12 months.” | Extracts the database schema, generates the SQL query, creates the dataset, and triggers processing. |
| “What are the key trends in my Sales Q4 dataset?” | Runs statistical summary, correlation matrix, ANOVA analysis, and generates AI-powered business insights. |
| “Create a bar chart comparing revenue by product category and save it.” | Analyzes the dataset columns, builds the chart with the right parameters, and saves it to your dashboard. |
| “Merge my Customer List and Order History datasets on customer_id.” | Identifies the join column, performs a left join, and creates a new unified dataset. |
| “Set up a weekly report every Monday at 9 AM with insights and charts from my three sales datasets, and send it to team@mycompany.com.” | Creates a scheduled report, assigns the frequency and timezone, attaches the datasets and saved charts, and configures email delivery. |
| “Import this CSV from https://data.example.com/export.csv and show me the best visualizations for it.” | Downloads the file, creates the dataset, runs chart recommendations, and generates the top visualizations. |
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Manual Workflow vs. QL-Agent
QuantumLayers already eliminates the need for data engineers. QL-Agent eliminates the clicks, too.
| Task | Manual (QuantumLayers UI) | With QL-Agent |
|---|---|---|
| Connect a SQL database | Fill in host, port, credentials, write SQL query | ✅ One sentence — agent writes the query for you |
| Merge two datasets | Select datasets, choose join column and type | ✅ One sentence — agent identifies the best join |
| Build visualizations | Open Analyze, select chart type, configure axes | ✅ One sentence — agent recommends and builds charts |
| Generate insights | Click Insights, wait for analysis | ✅ One sentence — agent runs full statistical analysis |
| Schedule a report | Click Report, configure name, frequency, datasets | ✅ One sentence — agent sets everything up |
| Full end-to-end workflow | 5–10 minutes across multiple screens | ✅ One prompt — agent handles every step |
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Frequently Asked Questions
What is QL-Agent?
QL-Agent is an AI-powered conversational assistant built into QuantumLayers. It lets you automate the entire analytics workflow — from dataset creation and SQL query generation to visualization, statistical analysis, AI insights, and report scheduling — through natural language prompts instead of manual configuration.
Do I need technical skills to use QL-Agent?
No. QL-Agent is designed for non-technical users. Describe what you need in plain English — for example, “connect to my PostgreSQL database and show me revenue trends” — and the agent handles the SQL, configuration, and analysis automatically.
What data sources can QL-Agent connect to?
QL-Agent can connect to all sources supported by QuantumLayers: MySQL, PostgreSQL, and SQL Server databases, REST APIs with JSON responses, SFTP servers, Google Sheets, and CSV files from public URLs.
Can QL-Agent write SQL queries for me?
Yes. Tell QL-Agent what data you need in plain English, and it connects to your database, reads the schema automatically, generates the appropriate SQL query, and creates the dataset — without you writing a single line of SQL.
Is QL-Agent included in the free plan?
QL-Agent is available on all plans with a monthly AI token budget. Free tier users can try QL-Agent with limited usage. Pro subscribers get a significantly higher token budget for heavier agent workflows.
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Learn More
Stop clicking. Start prompting. Try QL-Agent today — no credit card required.