Give your AI assistant real-time digital asset intelligence. Works with Claude, ChatGPT, Gemini, and any MCP-compatible client.
Large language models are powerful reasoning engines, but they have a fundamental limitation: their knowledge ends at a training cutoff date. Ask Claude about Bitcoin sentiment today and it'll tell you what it knew months ago. Ask ChatGPT about trending crypto narratives and it'll give you a generic answer based on historical patterns. The reasoning is good, but the data is stale.
This isn't a small gap. In digital assets, the narrative can shift in hours. A regulatory action, an earnings surprise, a protocol exploit, these events reshape market sentiment in real time. An AI assistant working with outdated data doesn't just give you wrong answers, it gives you confidently wrong answers with no way to verify them.
Perception solves this by giving your AI real-time access to structured market intelligence. When you connect Perception to Claude, ChatGPT, or Gemini, your AI can search 1,000+ sources, check current sentiment, track trending narratives, pull entity profiles, and cite specific articles, all from live data. The AI provides the reasoning, Perception provides the facts.
Perception connects to AI assistants via MCP (Model Context Protocol), an open standard that lets AI models call external tools. Think of it like giving your AI a set of specialized functions it can use whenever it needs real-time crypto data. You install it once, and your AI automatically knows when to use Perception's tools.
There are 19 tools in total, covering the full spectrum of digital asset intelligence:
Perception works with any AI client that supports the Model Context Protocol. Setup takes under two minutes, you generate an API key, add a configuration snippet, and restart your AI client. No coding required.
Once connected, your AI handles the tool selection automatically. You ask questions in natural language and it calls the right Perception tools, synthesizes the results, and gives you a sourced answer. Here's what that looks like in practice:
Every answer includes citations to specific articles, outlets, and data points. Your AI doesn't guess, it references real sources you can verify.