Compatible with every major AI agent and IDE
Get abi on Arbiscan (Arbitrum Explorer)
Get Contract ABI for Verified Source Codes
Get balance on Arbiscan (Arbitrum Explorer)
Get Ether Balance for a Single Address
Get balance multi on Arbiscan (Arbitrum Explorer)
Get Ether Balance for Multiple Addresses
Get block countdown on Arbiscan (Arbitrum Explorer)
Get Estimated Block Countdown Time by BlockNo
Get block reward on Arbiscan (Arbitrum Explorer)
Get Block Rewards by BlockNo
Get eth price on Arbiscan (Arbitrum Explorer)
Get Ether Last Price
Get eth supply on Arbiscan (Arbitrum Explorer)
Get Total Supply of Ether on Arbitrum
Get logs on Arbiscan (Arbitrum Explorer)
Get Event Logs
Get source code on Arbiscan (Arbitrum Explorer)
Get Contract Source Code for Verified Source Codes
Get status on Arbiscan (Arbitrum Explorer)
Check Contract Execution Status
Get token nft tx on Arbiscan (Arbitrum Explorer)
Get List of ERC721 Token Transfer Events By Address
Get token tx on Arbiscan (Arbitrum Explorer)
Get List of ERC20 Token Transfer Events By Address
Get tx list on Arbiscan (Arbitrum Explorer)
Get List of Normal Transactions By Address
Get tx list internal on Arbiscan (Arbitrum Explorer)
Get List of Internal Transactions By Address
Get tx receipt status on Arbiscan (Arbitrum Explorer)
Check Transaction Receipt Status
Verify source code on Arbiscan (Arbitrum Explorer)
Verify Source Code
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
Can I check the balances of multiple Arbitrum addresses at once?
Yes! Use the get_balance_multi tool and provide a comma-separated list of addresses. The agent will return the Ether balance for each one in a single response.
Supported Use Cases for Arbiscan (Arbitrum Explorer)
Enable conversational interfaces like ChatGPT and Claude to execute programmatic commands against the Arbiscan (Arbitrum Explorer) infrastructure.
Autonomous arbitrum via AI
Build automated workflows involving arbitrum by connecting Arbiscan (Arbitrum Explorer). It provides Claude and ChatGPT with direct API hooks into your developer tools ecosystem.
Autonomous block explorer via AI
Build automated workflows involving block explorer by connecting Arbiscan (Arbitrum Explorer). It provides Claude and ChatGPT with direct API hooks into your developer tools ecosystem.
Arbiscan (Arbitrum Explorer). Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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