$ loading_
Query synced personal data with SQL to analyze spending, fitness, and more.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mydata" yet — see the docs or source repo.
Use SQL to query my Lunch Money data for the last 6 months, summarize total spending by month, and list the top 5 spending categories by amount.
A query result or analysis showing monthly spending trends and the main spending categories.
Query my synced Strava data and calculate total running distance, average pace, and weekly workout counts for the past 30 days.
A 30-day fitness summary including distance, pace, and weekly training frequency.
Combine my Lunch Money and Strava data to analyze whether food spending differs significantly between weeks with exercise and weeks without exercise.
A cross-source comparison explaining possible relationships between exercise habits and food spending.
Ask natural-language questions about Apple Health exports and get metric insights.
Query Personal Capital accounts, net worth, transactions, and allocations in natural language.
Connect AI to databases for queries, schema management, and data export.
Query local synthetic patient data and generate patient-level statistics.
Query organizational data across databases, files, and warehouses using natural language.
Query MyDataPass facts for compliant customer-data offboarding and transfer checks.