EasyPrompt

Converts plain English prompts into executable blockchain transactions by parsing user intent, identifying target smart contracts or protocols, and generating properly formatted transaction payloads. The system likely uses an LLM to interpret semantic meaning from natural language, maps identified operations to blockchain ABIs or protocol specifications, and outputs signed or unsigned transaction objects ready for submission to on-chain execution. This eliminates manual construction of contract call parameters, function selectors, and encoded arguments.

Automates multi-step DeFi workflows (token swaps, liquidity provision, staking, borrowing) by decomposing high-level user intent into a sequence of smart contract interactions. The system likely maintains a registry of supported protocols (Uniswap, Aave, Curve, etc.), understands their state-dependent execution order, and chains transactions together with appropriate state validation between steps. This enables users to describe complex operations like 'swap ETH for USDC, then deposit into Aave' as a single natural language prompt.

Translates semantic user intent into properly encoded smart contract function parameters by parsing natural language, identifying the target contract function, and generating correctly formatted ABI-encoded arguments. The system maintains a mapping between human-readable operation descriptions (e.g., 'swap 1 ETH for USDC') and contract function signatures (e.g., 'swapExactETHForTokens(uint amountOutMin, address[] path, address to, uint deadline)'), then encodes parameters according to Solidity type specifications. This eliminates manual parameter construction and type conversion errors.

Validates generated transactions against current blockchain state before submission by checking preconditions (sufficient balance, token approvals, contract state assumptions) and estimating execution outcomes. The system queries the blockchain for relevant state (account balances, allowances, contract variables), simulates transaction execution (likely via eth_call or similar), and flags potential failures or unexpected outcomes. This prevents submission of transactions that would revert on-chain, saving gas fees and reducing failed execution attempts.

Integrates with Web3 wallet providers (MetaMask, WalletConnect, Ledger, etc.) to request user signatures for generated transactions without exposing private keys to the EasyPrompt backend. The system constructs unsigned transaction objects, passes them to the wallet provider's signing interface, and receives signed transactions ready for blockchain submission. This maintains wallet security by keeping key material isolated while enabling seamless transaction execution flow.

Executes read-only blockchain queries (balance checks, contract state inspection, transaction history) based on natural language descriptions without requiring users to write Web3 code or understand contract ABIs. The system parses user intent, identifies the relevant contract function or blockchain data source, constructs the appropriate RPC call (eth_call, eth_getBalance, etc.), and returns human-readable results. This enables users to inspect blockchain state and gather information needed for transaction decisions using plain English.

Estimates transaction gas costs and suggests optimizations to reduce fees by analyzing generated transactions and comparing alternative execution paths. The system calculates gas requirements based on transaction complexity, current network conditions (gas price, base fee), and provides cost estimates in fiat currency. It may also suggest optimizations like batching operations, using different protocols, or timing transactions for lower gas periods. This helps users understand and minimize the financial cost of blockchain interactions.

Routes transactions across multiple blockchains (Ethereum, Polygon, Arbitrum, Optimism, Solana, etc.) by identifying the optimal chain for a given operation based on factors like gas costs, liquidity, and protocol availability. The system maintains a registry of supported chains and protocols, evaluates execution costs and outcomes across chains, and routes the transaction to the most efficient option. This enables users to execute operations on the cheapest or fastest chain without manually evaluating cross-chain options.

Tracks and displays user transaction history and blockchain activity in a human-readable format, aggregating transactions across multiple chains and protocols. The system queries blockchain explorers or indexing services, associates transactions with user intent (e.g., 'swapped ETH for USDC'), and presents activity in a timeline or dashboard view. This provides users with a clear record of their blockchain interactions without requiring manual block explorer navigation.