Documentation
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Core Concepts
Understanding the data model behind Secret Manager will help you design better integrations and workflows.
Logs
The fundamental unit of data. A Log represents a single event in time—a workout, a meal, a coding session, or a thought. Logs have a timestamp, a type, and an optional payload.
Metrics
Quantifiable data points derived from Logs or ingested from external sources (Oura, Apple Health). Examples: HRV, Sleep Score, Ruby Line Count.
Habits
Repeatable actions that you want to track consistency for. Habits are binary (done/not done) or value-based (e.g., drank 2L water).
The Vault
Your personal encrypted storage. Data in The Vault is encrypted at rest using a key derived from your master password. We cannot see inside.
Data Flow
Data enters the system via Ingestion (API, CLI, or Manual Entry). It is then normalized into Logs. The Correlation Engine runs nightly to analyze relationships between your Logs and Metrics, generating Insights.