API Reference

AutoInsights

Spartera's AI tool to create and test assets

AutoInsights

Transform your database into valuable analytics assets automatically with
AI-powered insights generation.

AutoInsights analyzes your database structure and creates meaningful,
sellable analytics assets for the Spartera marketplace - all powered by
advanced artificial intelligence.

How AutoInsights Works

AI Analysis Process

AutoInsights uses advanced AI to understand your data and create valuable
insights:

  • Schema Analysis - Analyzes your database schema and structures to
    understand data relationships and patterns
  • Intelligent Processing - Generates meaningful insights using AI
    algorithms trained on analytics best practices
  • Asset Creation - Creates sellable assets optimized for the Spartera
    marketplace with proper documentation and metadata
  • Quality Validation - Validates quality and accuracy of generated
    assets before publishing

Getting Started

Simple 4-Step Process

Step 1: Configure Your Preferences

Set up your data connection and specify your preferences for asset generation.
Choose which tables to analyze and set pricing preferences.

Step 2: Review FREE Analysis

Get a comprehensive analysis of your database structure at no cost. Review
the AI's understanding of your data before proceeding.

Step 3: AI Creates Your Assets

Let our AI automatically generate multiple analytics assets from your data.
Each asset is optimized for marketplace success with proper descriptions
and pricing suggestions.

Step 4: Review, Test & Publish

Review generated assets, test their functionality, and publish profitable
insights to the Spartera marketplace.

Data Preparation

Tips for Better Results

To increase the quality of AI-generated insights, follow these best practices:

Use Descriptive Naming

  • Use descriptive column names (e.g., "transaction_date" instead of
    "column45")
  • Name tables with clear, business-relevant names
  • Follow consistent naming conventions across your schema

Include Documentation

  • Include data documentation and comments in your database
  • Add table and column descriptions where possible
  • Document business logic and calculations

Maintain Data Quality

  • Ensure consistent data formatting and structure
  • Remove or clean up test/placeholder data
  • Handle null values appropriately
  • Maintain referential integrity between tables

Optimize Structure

  • Organize related data into logical table groupings
  • Use appropriate data types for each column
  • Create proper indexes for performance
  • Normalize data where appropriate

Supported Data Sources

AutoInsights works with all Spartera-supported database platforms:

Amazon Web Services (AWS)

  • Amazon Redshift - Large-scale data warehousing
  • Amazon Redshift Serverless - Serverless data warehousing
  • Amazon Aurora (MySQL) - High-performance MySQL-compatible database
  • Amazon Aurora (PostgreSQL) - High-performance PostgreSQL-compatible
    database
  • Amazon Aurora Serverless - On-demand relational database
  • Amazon RDS MySQL - Managed MySQL database service

Google Cloud Platform (GCP)

  • Google BigQuery - Serverless analytics and data warehouse
  • Cloud SQL MySQL - Fully managed MySQL database
  • Cloud SQL PostgreSQL - Fully managed PostgreSQL database

Multi-Cloud Platforms

  • Snowflake - Cloud-native data platform
  • Teradata Vantage - Enterprise analytics platform

Database Platforms

  • Microsoft SQL Server - Enterprise database systems
  • Supabase PostgreSQL - Modern application databases
  • Supabase Analytics - Application analytics and event tracking

Asset Types Generated

Analytics Categories

AutoInsights automatically identifies and creates various types of analytics
assets:

Behavioral Analytics

  • Customer segmentation insights
  • User journey analysis
  • Engagement pattern recognition

Financial Analytics

  • Revenue trend analysis
  • Cost optimization insights
  • Profitability breakdowns

Operational Analytics

  • Performance metrics
  • Efficiency measurements
  • Resource utilization insights

Predictive Analytics

  • Trend forecasting
  • Risk assessment models
  • Growth projection analysis

Quality Assurance

Built-in Validation

Every asset generated by AutoInsights undergoes comprehensive quality checks:

  • Data Accuracy - Validates calculations and aggregations
  • Performance Testing - Ensures queries execute efficiently
  • Market Readiness - Confirms assets meet marketplace standards
  • Documentation Review - Verifies clear descriptions and usage
    instructions

Pricing & Monetization

Revenue Optimization

AutoInsights helps maximize your asset revenue:

  • Smart Pricing - AI suggests optimal pricing based on market analysis
  • Competitive Analysis - Compares similar assets in the marketplace
  • Value Assessment - Calculates asset value based on data uniqueness
  • Revenue Tracking - Monitors performance and suggests improvements

Security & Privacy

Enterprise-Grade Protection

Your data remains secure throughout the AutoInsights process:

  • Local Processing - Analysis happens where your data lives
  • Zero Data Movement - Insights are generated without moving raw data
  • Encryption - End-to-end encryption for all communications
  • Access Control - Granular permissions and audit trails

Getting Support

Help & Resources

  • Documentation - Comprehensive guides and tutorials
  • Community - Connect with other AutoInsights users
  • Support Team - Technical assistance and best practice guidance
  • Training - Webinars and workshops for advanced techniques

Contact Information

Next Steps

Ready to start generating valuable insights from your data?

For New Users

  1. Sign up for Spartera
  2. Connect your first data source
  3. Run your first AutoInsights analysis

For Existing Users

  1. Navigate to AutoInsights in your dashboard
  2. Select databases to analyze
  3. Configure your generation preferences

Get Started with AutoInsights →