Use recipes when you already know the AI client and the crypto workflow you want to run. Each recipe combines a supported client or API path with one task, then shows the setup step, Hive tools used, example prompt, and illustrative output shape.

Start with Get Started if Hive is not connected yet. Use these recipes after the first live call to verify the task-specific fields, provenance, runtime status, and safety checks your agent should surface before production.

Token security

Detect rugpulls and honeypots from Claude Desktop — Use Hive with Claude Desktop to scan tokens for honeypot logic, rugpull risk, owner permissions, and LP locks before recommending a buy.
Pre-signing token risk checks from Windsurf — Use Windsurf with Hive to ground token recommendations in honeypot, rugpull, and contract-audit checks before a transaction is signed.

DeFi yield research

Compare DeFi yields and protocol health from Cursor — Use Hive in Cursor to compare DeFi yield pools, protocol TVL, APY-vs-TVL ratios, and chain coverage from DeFiLlama and Beefy.

Wallet analysis

Cross-chain wallet analysis with OpenAI and Hive — Use Hive from an OpenAI agent for cross-chain wallet analysis: balances, history, top holdings, NFTs, PnL, and active approvals.

Trading bot

Build a price-monitoring trading bot in Claude Code — Use Claude Code with Hive to scaffold a Node.js trading monitor for prices, funding rates, liquidity, and arbitrage alerts.

Market intelligence

Run live market briefings from Cursor — Use Hive in Cursor to generate market briefings with narratives, leaders, laggards, funding-rate extremes, and prediction-market signals.

Missing workflow?

Open an issue on the Hive GitHub org or contact us with the AI client, use case, and the Hive tools your agent needs to verify.