Your AI agent can access data from Ethereum mainnet, Polygon, Arbitrum, Optimism, Base, and other EVM-compatible chains supported by Alchemy. The integration automatically routes queries to the correct network based on contract addresses and chain identifiers in the conversation.

Alchemy's API automatically detects the token standard. For ERC721, the agent retrieves single ownership data. For ERC1155 multi-edition tokens, it returns all owner addresses and their respective quantities. Your agent explains ownership structure appropriately based on the token type.

Tars only needs read-only API access to Alchemy's Enhanced APIs and NFT APIs. No write permissions, transaction signing, or private key access is ever requested. Your Alchemy dashboard shows exactly which endpoints are being called and how often.

Yes. During setup, you configure exactly which Alchemy capabilities your agent can use. If you only want NFT queries without token balance lookups, simply enable the NFT-related tools and leave others disabled. This gives you granular control over blockchain data exposure.

Alchemy provides near real-time blockchain data. NFT ownership, token balances, and transaction counts reflect the latest confirmed blocks. For pending transaction visibility, you can enable Alchemy's mempool access where available, though most customer queries only need confirmed state.

Your AI agent gracefully explains that the requested chain isn't currently supported and lists the available networks. You can configure fallback responses to direct users to appropriate resources or escalate to human support for chains outside Alchemy's coverage.

Block explorers require users to navigate complex interfaces and understand blockchain terminology. Your AI agent interprets natural language questions, fetches the relevant Alchemy data, and responds conversationally. A user can simply ask "Do I own any Bored Apes?" instead of manually searching contract addresses.

Yes. Through Alchemy's NFT Sales API, your agent retrieves historical transaction data including sale prices, buyer and seller addresses, marketplace source, and block timestamps. This enables price history queries, collection analytics, and market trend discussions within customer conversations.