Compatible with every major AI agent and IDE
Get fungible on Zerion (DeFi Portfolio)
Get token metadata, prices, and charts
Get nft on Zerion (DeFi Portfolio)
Look up specific NFTs by reference
Get swap quotes on Zerion (DeFi Portfolio)
Get quotes for same-chain swaps or cross-chain bridges
Get wallet nft collections on Zerion (DeFi Portfolio)
Get NFT holdings grouped by collection for a wallet
Get wallet nft portfolio on Zerion (DeFi Portfolio)
Get NFT value summary for a wallet
Get wallet nft positions on Zerion (DeFi Portfolio)
Get individual NFT holdings for a wallet
Get wallet pnl on Zerion (DeFi Portfolio)
Get realized and unrealized gains (PnL) for a wallet
Get wallet portfolio on Zerion (DeFi Portfolio)
Get total value and distribution for a wallet
Get wallet positions on Zerion (DeFi Portfolio)
Get list of tokens and DeFi positions for a wallet
Get wallet set portfolio on Zerion (DeFi Portfolio)
Get aggregated portfolio for multiple wallets
Get wallet set positions on Zerion (DeFi Portfolio)
Get aggregated positions for multiple wallets
Get wallet set transactions on Zerion (DeFi Portfolio)
Get aggregated transactions for multiple wallets
Get wallet transactions on Zerion (DeFi Portfolio)
Get human-readable transaction history for a wallet
List chains on Zerion (DeFi Portfolio)
List supported blockchains and metadata
List dapps on Zerion (DeFi Portfolio)
List metadata for decentralized applications
List gas prices on Zerion (DeFi Portfolio)
Get real-time gas estimates across chains
How Vinkius protects your data
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.
Can I see the estimated value of my NFT collection?
Yes. You can use get_wallet_nft_portfolio for a high-level summary or get_wallet_nft_collections to see your holdings grouped by their respective collections with valuation data.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Zerion (DeFi Portfolio) Capabilities for AI Assistants
This integration supports direct MCP execution, enabling your chatbots to query and modify data within these specific environments.
LLM Orchestration for defi
The Zerion (DeFi Portfolio) toolkit enables AI agents to execute defi commands. It handles protocol translation for data analytics integrations natively.
Execute web3 Commands with AI
The Zerion (DeFi Portfolio) MCP manages API routing for web3. This enables AI agents like Claude Code to execute structured data analytics queries.
Zerion (DeFi Portfolio). 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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