Transforming Transactions Into Narratives

Traditional explorers overwhelm users with technical data. TXNScan reimagines this experience by offering

Concise Summaries

AI interprets transactions and presents them as narratives. For instance:

“Thirty-five hours ago, this wallet executed a swap of 2.025 ETH for 46,197 DOGE using Uniswap. The transaction utilized a universal router for optimal routing and cost $8.25 Eth in gas fees.”

Actionable Context

Users gain insights into market conditions, trading strategies, and wallet behaviours related to the transaction. The AI highlights:

• Gas fee optimizations.

• Liquidity pool details.

• Historical price data to contextualize the transaction.

Layered Information

Advanced users can drill down into raw data, including transaction hashes, logs, and ABI-decoded function calls, without losing access to the simplified narrative. This dual-layer approach ensures users can choose the level of detail they need.