Choose a signal to filter the chart, or click any time bucket to load its exact stored rows. Findings remain a separate step.
These dimensions already exist in Pulse. The Lab currently projects Nocturnal Signals; the other cards identify existing Pulse reads that still need an equivalent Lab view.
Analyze one JSON snapshot locally. Snapshot mode is labeled throughout the workspace and ends when you choose a user or reload D1.
D1 is the query source and loads automatically; R2 retains each unmodified upload as its audit copy. This lab has no sign-in boundary.
Dataset IDs are ingestion streams, not users. The active user above may combine several streams; overlapping row IDs are counted and analyzed once.
Immutable upload provenance. Opening an archive never replaces the active D1 projection.
Appends new rows to the saved D1 dataset and archives the unmodified JSON in R2. Existing row ids are left untouched.
Every stage keeps its own support state. A contradiction or missing input cannot disappear inside a final score.
Each strip reruns the same validated evidence while changing one setting across its permitted range. The chart names the result that setting can actually move; color is the resulting support state. When a setting cannot move that result, the lab says so instead of drawing a meaningless flat chart.
Zoom into the raw and derived lanes to test whether the proposed boundaries match the actual signal.
These are the equations actually used for this dataset and the current Lab settings—not documentation copied beside the implementation.
Kenshiki Pulse Lab