Bring your data
A CSV from your computer, a real public sample, or a live feed. Columns get a type — time, number, text — and you can correct any guess.
Bring a file or a sample, drag steps onto a canvas — filter, group, calculate, correlate — and watch the data change at every step. Pin what you find to a DataBoard.
Try it in your browser — your file stays there unless you send it to a lane.
Seattle — average daily high by month (°C)
Starting the engine in your browser…
What you can do
Five things, each one drag away.
A CSV from your computer, a real public sample, or a live feed. Columns get a type — time, number, text — and you can correct any guess.
Filter, group & summarise, join, calculate, rolling windows, statistics, correlation — wired together on a canvas, no code.
Click any step to see its table. Change a setting and the data follows. A wrong step says what is wrong and how to fix it.
Line, bar and scatter charts, tables and numbers, side by side — every one says which data and which version it came from.
Describe the question. The assistant reads your columns and proposes steps on the canvas that you keep or undo.
How it works
What you build is a pipeline — a document of steps and wires — so it is checked before it runs, and it can be saved, shared and run again.
Add a file, a sample or a feed. Try it in your browser; the file stays there unless you send it to the lane.
Drag steps from the library, wire them together, and click any step to see its data.
Pin a step and it becomes a chart, a table or a number on the board — all of them update as you edit.
Samples
Public datasets with their sources. Each one opens with a working pipeline you can change.
Packs
A pack brings its own data source and steps to the same framework. The first one is for markets.
Public candles for six crypto pairs, 22 indicators, backtests next to buy-and-hold with fees and slippage, and pipelines that run live on every new candle.
Open the strategy labEach one opens in the strategy lab, loaded and ready to change.
For agents
Over MCP, an agent reads the strategy lab's node catalog, validates and previews pipelines, backtests, deploys live and reads the output — the API the board uses, under the same limits.
MCP endpoint
https://lab-api.beesystem.io/api/lab/mcpLanes
Your own files run in your browser. Live pipelines and bigger data run on a lane — its own control plane, hive and storage.
Open a sample, click a step, change one setting. No account, nothing to install.
Start with a sample