Rollup Invocation Flow on Arbitrum

Arbitrum transactions often compress many contract calls. Our Arbitrum Explorer reveals the real invocation flow in exact execution order. You can follow every internal call, see connected events, and understand how one action triggers the next inside Arbitrum’s execution model. Moreover, you can also deploy Phalcon Explorer for real-time attack monitoring and automated blocking.

Execution-Level Debugging for Arbitrum

On Arbitrum, internal calls shape outcomes as much as external ones. Our Arbitrum Explorer lets you step through both within and outside the same execution view. It allows you to inspect parameters and return values as logic runs, helping you understand failures and unexpected behavior inside dense Arbitrum call stacks.

High-Performance Simulation on Arbitrum

Beyond generic features, Phalcon Explorer also provides you with high-performance Arbitrum Simulation. Our Arbitrum Explorer lets you simulate transactions from any block using identical Arbitrum conditions. You can get repeatable results that reflect real Arbitrum behavior, making analysis, debugging, and collaboration accurate and reliable.

Asset Flow Across Arbitrum Contracts

Asset movement on Arbitrum often jumps across multiple contracts in one transaction. Our Arbitrum Explorer visualizes the full fund path in a single view. You can see where assets start, how they move through contracts, and where they end, revealing paths hidden by our Arbitrum fund flow module.

Multi-Address Balance Impact on Arbitrum

A single Arbitrum transaction can affect many addresses at once. Our Arbitrum Explorer clearly displays balance changes for every involved address and token. You can quickly identify abnormal shifts, impacted users, and risky behavior without manual tracking across Arbitrum execution layers.

Field-Level State Changes on Arbitrum

State updates on Arbitrum are often obscured by rollup abstraction. Our Arbitrum Explorer exposes contract state changes at field level for each transaction. You can see what changed, how values were updated, and why those changes matter, even when raw traces fail to show full context.