Independent product
Smart Money API
Opens the live site in a new tab
One REST API for crypto market data: over 300 endpoints covering derivatives on eight exchanges, thousands of whale wallets on eight chains, liquidations, options and on-chain metrics, with its own track record published in full.
The exchange-adapter work you would otherwise spend a quarter on, normalised behind one key and one base URL, and a published track record instead of a claimed win rate.
What it does
Smart Money API puts crypto market data behind one key and one base URL: derivatives across eight exchanges, thousands of whale wallets on eight chains (EVM, L2s and Solana), liquidations, options, ETF flows and on-chain metrics. There are over 300 endpoints and more than 500 symbols, and the derivatives data refreshes on a cycle of about nine minutes, with whale events arriving in roughly a second.
Its most unusual call is /v1/confirm. Your bot proposes a trade, the API checks funding, open interest, liquidations, whale positioning and macro context, and answers CONFIRM, REDUCE or SKIP with a size multiplier. It advises; your code executes. There is a free tier, then Trader at $29 and Pro at $79 a month, with a 30-day money-back guarantee. Around the API there are dashboards: a derivatives screener, a liquidation heatmap, a market-mood gauge, a whale tracker and a performance page.
Why I built it
I was writing the same exchange adapters over and over for my own trading systems. Every venue has its own authentication, its own symbols and its own idea of what a funding rate is. Normalising that once seemed worth more than any signal built on top of it.
What I learned
The honest version is also the harder one to sell. We ran our own signal through a leakage-free holdout, it showed no durable edge, and we published all of it, including the studies that failed. The live record is close to break-even before costs, and the page says so in plain words. You are buying the instrument, not the trade. Saying that out loud costs some conversions, and it keeps the customers who matter.
I also learned how quickly numbers on a page go stale. Counts, prices and limits live in more than one place, so the site now reads them from one source, and the mirrors that cannot are checked by tests.
