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Execute Code On Demand

Maia can write and execute code in real-time to solve complex problems, perform calculations, and transform data — all within your workflow.

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Why Data Analysis Matters

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Trustworthy Mathematical Operations

When precision is critical, Maia generates and executes code to guarantee accurate results:

Complex Calculations

Financial modeling, statistical analysis, scientific computations

Data Transformations

Clean, filter, aggregate, and restructure datasets

Formula Validation

Run formulas against real data to verify accuracy

Logical Operations

Process conditional logic and multi-step algorithms
Example: 
Calculate the compound annual growth rate (CAGR) for a portfolio 
that started at $100,000 and grew to $175,000 over 5 years.
Instead of estimating, Maia generates and executes Python code to return the precise result: 11.84%.

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Data Visualization

Maia creates professional visualizations from any data source — whether you provide it directly or Maia retrieves it from the web or connected platforms.

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Visualization Types

  • Line Charts - Trends over time
  • Bar Charts - Comparisons across categories
  • Pie Charts - Distribution percentages
  • Scatter Plots - Correlations and patterns
  • Heat Maps - Density and intensity mapping
  • Histograms - Distribution analysis
  • Box Plots - Statistical summaries

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From Data to Insight

1

Provide or Retrieve Data

Upload files, paste datasets, or have Maia gather information from APIs, databases, or web sources
2

Request Analysis

Analyze this sales data and create:
1. A line chart showing monthly revenue trends
2. A bar chart comparing performance by region
3. A table of top 10 products by revenue
3

Get Visual Results

Maia generates code to process your data and produces publication-ready visualizations

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Your Data Analysis Teammate

Data analysis transforms Maia into a powerful analytical partner: ✅ Process large datasets - Handle thousands of rows efficiently
✅ Perform statistical analysis - Correlations, regressions, hypothesis testing
✅ Generate insights - Identify trends, outliers, and patterns
✅ Create reports - Combine analysis with visualizations in documents
✅ Automate calculations - Build workflows that run complex math operations
Request:
I have Q4 sales data in this CSV. Analyze it and show me:
- Total revenue by month
- Top 5 products by units sold
- Average deal size by sales rep
- Month-over-month growth rate

Create visualizations for each metric.
What Maia Does:
  1. Reads and validates the CSV data
  2. Executes Python code to calculate each metric
  3. Generates four separate chart visualizations (line chart for revenue, bar chart for products, etc.)
  4. Creates a summary table with key statistics
  5. Provides numerical summaries alongside charts
Request:
Calculate the break-even point for a SaaS product with:
- Monthly fixed costs: $50,000
- Variable cost per customer: $5/month
- Subscription price: $99/month

Show me break-even in customers and create a graph showing 
profitability from 0 to 1,000 customers.
What Maia Does:
  1. Generates a financial model in code
  2. Calculates break-even: 532 customers
  3. Creates a line graph showing the profitability curve
  4. Highlights the break-even point on the visualization
Request:
Get the last 30 days of Bitcoin prices, calculate the daily 
percentage change, and create a chart showing the price 
movement with volume bars below.
What Maia Does:
  1. Retrieves historical Bitcoin data from a financial API
  2. Calculates daily price changes programmatically
  3. Generates a professional price chart with OHLC data
  4. Adds volume bars as a subplot
  5. Returns insights about volatility and trends

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How It Works

Maia’s data analysis environment:
  • Secure sandbox - Code runs in isolated environments
  • Library access - Popular data science libraries (pandas, matplotlib, numpy)
  • Output variety - Return values and visualizations

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Use Cases

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Business Analytics

  • Sales forecasting and trend analysis
  • Customer segmentation
  • KPI calculation and monitoring
  • ROI and financial modeling

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Research & Science

  • Statistical analysis
  • Data cleaning and preparation
  • Experiment result processing
  • Publication-ready visualizations

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Operations

  • Inventory optimization
  • Resource allocation calculations
  • Scheduling algorithms
  • Performance benchmarking

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Reporting

  • Automated dashboard generation
  • Executive summaries with charts
  • Comparative analysis reports
  • Real-time data monitoring



Agent Skills

Package specialized data analysis workflows and domain expertise into reusable skills