Crypto Market Data as Function-Calling Tools for AI Agents
When MCP isn't an option and you're rolling your own agent loop, you need tool schemas. Here are drop-in function-calling definitions for live crypto data — in both OpenAI and Anthropic formats, with the handler to execute them.
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Crypto Volatility Index (CVI): Realized vs Implied Vol via API
Equities have the VIX. Crypto never had one number — until now: a volume-weighted realized-vol index across the whole market, plus BTC and ETH implied vol and the premium between them.
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Add Live Crypto Market Data to a Custom GPT with Actions
A Custom GPT can't read live markets on its own — but with one imported OpenAPI schema it can call real crypto endpoints on demand. Here's how to wire CryptoDataAPI into a GPT as an Action.
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Free Crypto API Key With No Signup Form, Built for AI Agents
Most APIs gate their free tier behind a signup form, an email confirmation, and a dashboard click — all of which an autonomous agent cannot do. Here is how an agent provisions its own crypto data key with a single request.
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Give a LangChain Agent Live Crypto Data with a Custom Tool
A LangChain agent is only as good as its tools — and by default it has no idea what markets are doing right now. Here's how to give it live crypto data with a custom Tool in about 20 lines of Python.
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Why Your LLM Hallucinates Crypto Prices (and How to Fix It)
Ask any model for the Bitcoin price and it will answer with total confidence — and it will be wrong, because its knowledge froze at training time. Here is why that happens and the one-call fix that grounds your agent in real data.
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1.5 Million Crypto Trading Strategies, Free — And Why That Number Is a Trap
AlgoBrain is a free, open-source knowledge base that derives over 1.5 million crypto trading strategy configurations — and your AI agent can read all of it locally. Here's exactly where that number comes from, why it's the size of the haystack rather than a promise of profit, and what actually happened when we pulled one family out of it and put a variant on a live account.
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10 Free AI Prompts That Turn Any LLM Into a Crypto Trading Analyst
Most "crypto prompts" fail because the model has no live data. These 10 free, copy-paste prompts each plug into a real CryptoDataAPI endpoint — so your LLM analyzes what the market is actually doing, not what it remembers.
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Hidden Markov Model Crypto Regimes: A Nowcast, Not Price Prediction
Most vendors sell direction. We tested our own HMM honestly: it nails the current market state within hours and routes strategies measurably — but it does not predict where price goes next. Here are the base rates.
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Perp Gamma Exposure (GEX): Where Hyperliquid Market Makers Break
Options traders watch dealer gamma to know when the market amplifies a move or mean-reverts. Perps have no options chain — so we built the analog from market-maker inventory and on-chain liquidation density.
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Hyperliquid Whale Activity API: Read the $100k+ Account Book
Exchange-deposit alerts lag the decision. On Hyperliquid the positions are on-chain, so you can read the live margin book of every $100k+ account — net bias, conviction, and the coins whales hold most.
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Trader Positioning by Account Type: Market Makers vs Whales API
An aggregate long/short ratio hides who is actually positioned. This endpoint splits every coin's book by trader type — market maker, whale, and everyone else — so you know whose money is on each side.
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