What Peak AI can do

Peak AI can answer a wide range of crypto-related questions because it draws from the full Peak data model — every Object and every Command — combined with the reasoning capabilities of large language models. This page gives concrete examples of what works well, organized by use case. The examples below are starting points. Peak AI accepts natural language, so any phrasing of these ideas should work.

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Token analysis

Quick reads on tokens — current state, recent activity, fundamentals.

• “How’s SOL today?”
• “What’s the market cap of [token]?”
• “Show me ownership concentration for [token].”
• “What’s driving [token] price right now?”
• “Are there any upcoming unlocks for [token]?” Peak AI returns structured price and stats cards alongside a short summary, drawing on the same data as Token Commands (TKD, VAL, OWN, and others).

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Protocol analysis

Questions about DeFi protocols — DEXs, lending markets, launchpads.

• “How is Uniswap performing this week?”
• “What’s the TVL trend for Aave?”
• “Compare Raydium and Orca over the last 30 days.”
• “Who are the biggest users of [protocol]?” Peak AI surfaces the relevant protocol metrics and a written analysis, drawing on Protocol Commands (PRA, DEP, PCP, and others).

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Market and sector context

Broader questions that span multiple Objects.

• “What are the top-performing tokens today?”
• “What’s happening in the AI token narrative?”
• “Which sectors are seeing the most volume right now?”
• “Compare DeFi vs gaming token performance this week.” For these, Peak AI typically draws on Token Group, Index, and Cross-Object screening data.

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Wallet and flow questions

Questions about specific wallets or aggregate flow patterns.

• “What’s in this wallet: <address>?”
• “Show me recent activity from [wallet].”
• “Are whales accumulating or distributing [token]?”
• “What are smart money wallets buying this week?” Peak AI returns wallet-level data when given an address, and aggregate flow data when asked about cohorts.

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DEX and trading analysis

Real-time trading and venue questions.

• “Where is most of [token]‘s volume happening?”
• “Show me the largest recent trades for [token].”
• “What’s the liquidity situation for [token] right now?” These draw on live trading data and DEX Market views.

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Comparative and explanatory questions

Where Peak AI is particularly useful — questions that don’t map to a single Command.

• “Why did [token] drop today?”
• “What’s different between Uniswap V2 and V3 in terms of users?”
• “Should I be worried about [token]‘s holder concentration?”
• “What changed for [protocol] in the last week?” For these, Peak AI synthesizes data across multiple sources into a written explanation. The response typically includes the supporting data cards so you can verify the analysis.

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What Peak AI can answer is tied to Peak’s data coverage

Peak AI’s coverage today corresponds to Peak’s underlying data coverage. As Peak indexes more tokens, more protocols, and more networks, Peak AI’s ability to answer questions about them grows automatically — without any separate work on the AI side. This means:

• For Objects with full coverage in Peak, Peak AI gives detailed, structured responses.
• For Objects with partial coverage, Peak AI works with what is available and notes limitations where relevant.
• For Objects not yet indexed, Peak AI will tell you so rather than guess. See Supported Networks for current coverage scope.

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What Peak AI does not do

A few honest limitations worth knowing:

• Peak AI does not give financial advice. It surfaces data and provides analytical context, but it does not recommend buying, selling, or any other action.
• Peak AI does not execute trades. Peak as a whole is an analysis platform, not a trading venue. Peak AI is no different.
• Peak AI does not accept voice input. All questions go through text.

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Peak AI is evolving

Peak AI is an ongoing feature. New capabilities are added continuously — both as Peak’s underlying data grows and as we hear feedback from clients. If there is a question you’d expect Peak AI to handle but it doesn’t yet, or a kind of response you’d like to see, let us know.

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