Because transparency isn’t a feature — it’s a promise. Here’s how the platform works, how to build on it, and how to verify our math for yourself.
New here? Start with your first strategy, signal feed, or skill. Step by step, no assumptions about what you already know. We want you building, not guessing.
Start here →Every endpoint, documented. Strategies, signals, skills, marketplace, accounts. The same depth we give ourselves — because if you’re building on our platform, you deserve the full picture.
View endpoints →Working Python code that does real things: submit a strategy, run a signal feed, build and execute a skill. Copy, paste, modify. We learn by doing.
Browse examples →Pre-built allocation templates you can fork and make your own: Conservative Core, Sector Tilt, Income Focus, Risk Parity. Don’t start from scratch if you don’t have to.
Open Studio →Why six algorithms instead of one? Because each one sees what the others miss. Here’s exactly how NDI-Monte Carlo, HMC, BCI, Importance Sampling, Drawdown-Aware EF, and Kelly CVaR work — and when to use each.
Read the guide →How Axiom calibrates assets, how simulations are constructed, how the gauntlet verifies strategies, and how ESI detects event cascades. The full methodology — because “trust us” is not a methodology.
Read methodology →How compound event chains are detected, scored, and surfaced as actionable signals before they cascade. The market rhymes — ESI listens for the echoes.
Learn about ESI →Submit a set of conditions, receive a landscape of possible outcomes with probability weights. Not a prediction — a map. Because the future is a distribution, not a number.
View API →