Compatible with every major AI agent and IDE
Answer on Exa
Get an AI answer
Find similar on Exa
Great for competitive analysis and research. Find similar pages
Find similar with contents on Exa
Find similar pages with content
Get contents on Exa
Extract page contents
Search on Exa
Returns titles, URLs, and relevance scores for matching pages. Search the web with AI
Search domain on Exa
Useful for site-specific research or documentation lookups. Search within a domain
Search keyword on Exa
Traditional keyword search
Search neural on Exa
Ideal for conceptual queries and research topics. Neural semantic search
Search recent on Exa
Ideal for news and trending topics. Search recent content
Search with contents on Exa
Search and extract page content
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.
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 perform a meaning-based search instead of keywords via AI?
Yes! Use the search tool. Provide your query and enable useAutoprompt. Exa will use its neural embeddings to find links that match the intent of your question.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Supported Use Cases for Exa
The Exa integration provides structured, LLM-friendly schemas for reliable tool execution within your agentic workflows.
AI-Driven neural search Workflows
Integrate Exa to access native neural search capabilities. This allows LLMs to perform secure, deterministic execution of ai frontier tasks without hard-coded API scripts.
Cursor Copilot for semantic similarity
The Exa MCP integration translates natural language prompts into structured semantic similarity queries. This allows agents to fetch and update ai frontier records securely.
Exa. 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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