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Generate realistic, foreign-key-consistent synthetic test data for databases.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "SeedBase Test Data" MCP server from askskill: Run: claude mcp add 'io-github-marcelglaeser-seedbase' -- npx -y @seedbase/client
Generate synthetic test data for an ecommerce database with users, orders, order_items, and products tables. Keep foreign keys consistent, make distributions realistic, and create 1,000 records for each table.
Returns database-ready test data with correct relationships across tables for local development and integration testing.
Create test data for a SaaS product with accounts, users, subscriptions, and events tables. Simulate different plans, activity levels, and time distributions while preserving foreign key integrity.
Outputs multi-table synthetic data with realistic business patterns for analytics queries and feature testing.
Generate a batch of anonymized yet realistic test data from the existing database schema for staging validation. Cover common edge cases and keep references correct across tables.
Produces a staging-ready dataset that balances realism, privacy safety, and relational consistency.
Generate realistic synthetic data for databases, mock APIs, and testing workflows.
Generate structured mock data for testing, demos, and analysis validation.
Generate multi-table synthetic data matching exact revenue curves and fraud rates.
Generate test data, propose schemas, and list field types via MCP.
Generate sample Dataverse records for testing and demoing a Power Pages site.
Generate locale-aware relational fake data for development and testing workflows.