AI Data Analyst
Turn raw data into decisions. Ask questions in plain English, get SQL queries, charts, and insights — all from a Telegram chat.
The Problem
Data-driven decisions require data skills most teams don't have. Analysts cost $80,000–120,000/year. Business users wait days for reports. Self-service BI tools have steep learning curves. Data sits unused.
What Your AI Analyst Can Do
Natural Language Queries
Ask questions in plain English — "What was our revenue last quarter?" — and get SQL queries generated and executed automatically.
CSV & Spreadsheet Analysis
Upload CSVs, Excel files, or Google Sheets exports. Get instant summaries, correlations, and trend analysis.
Report Generation
Create formatted reports with charts, tables, and executive summaries. Export-ready for stakeholder meetings.
Anomaly Detection
Spot outliers, unusual patterns, and data quality issues automatically. Get alerted before small problems become big ones.
Predictive Analysis
Forecast trends using historical data. Revenue projections, churn predictions, and demand planning without a data science team.
Database Integration
Connect to PostgreSQL, MySQL, BigQuery, or Snowflake via MCP servers. Query production data safely with read-only access.
Get Started in 3 Steps
Deploy
Type /create in @OpenClawBoxBot. Pick a plan and pay with Telegram Stars.
Connect
Upload CSV files directly or connect databases via MCP servers.
Analyze
Ask questions: "Show me monthly revenue trends" or "Which products have the highest churn?"
Frequently Asked Questions
Can it connect to my production database?
Yes — via MCP (Model Context Protocol) servers. Configure read-only database access so the AI can query your data without risk of modifications.
Do I need to know SQL?
No. Ask questions in plain English. The AI generates and explains the SQL, so you learn while getting answers. Power users can write SQL directly too.
How does it handle sensitive data?
Your OpenClaw instance runs in an isolated Kubernetes namespace. Data never leaves your tenant. You control what databases and tables are accessible via MCP configuration.