ChainGPT x Muse: your agent’s crypto research desk

ChainGPT x Muse turns a conversation into a crypto research desk.

Ask about a token, protocol, chain or market narrative. Your Muse agent can call ChainGPT for live prices, technical analysis, fundamentals, market signals and the news shaping the story. The answer comes back into the conversation you are already having.

No dashboard hopping. No tab maze. Just ask the question and keep moving.

We built the connector and submitted it to Muse for review. Public availability is pending Muse approval.

A full crypto research stack, inside the conversation

Crypto research rarely begins and ends with one data point. A price move raises questions about volume and liquidity. Those numbers lead to a protocol update, a token unlock, an on-chain trend or a market narrative. Before long, a simple question has become a dozen browser tabs.

ChainGPT Crypto Research gives Muse a specialist layer built for that journey:

  • Live market data across chains. Look up a token by name, ticker or contract address and pull current price, price change, volume, liquidity, market cap, fully diluted valuation, DEX and trading-pair data.
  • Technical and market analysis. Ask ChainGPT to examine momentum, market structure, price history, volume, sentiment and the factors that may be driving a move.
  • Token, protocol and ecosystem research. Explore fundamentals, tokenomics, on-chain context, competing projects, network activity and emerging narratives across crypto.
  • Crypto news on demand. Search ChainGPT News for a project, asset, chain, protocol, sector or event over a defined time window.
  • AI market signals. Add time-stamped ChainGPT signals to a research brief, with filters for a specific asset or sentiment when needed.
  • Evidence-assisted claim research. Investigate a public crypto claim, compare it with selected primary sources and identify what the available evidence actually establishes.

The connector is read-only. It researches; it does not connect wallets, execute trades or move funds.

Ask the question you actually care about

The experience starts with natural language. You do not need to translate your question into a sequence of APIs or know which dataset should answer it.

You could ask Muse:

Compare SOL, SUI and AVAX across fundamentals, recent momentum and the strongest news catalysts this week.

Or:

Pull the live price, 24-hour change, volume and liquidity for CGPT across its top trading pairs. Use the contract address to confirm the asset.

Or:

Give me a technical read on ETH, then check whether the latest news and ChainGPT signals support or challenge that setup.

Muse brings the agent, browser and context of the conversation. The ChainGPT connector brings crypto-native research capabilities. Together, they can move from a broad question to market data, analysis and supporting context without making the user rebuild the workflow by hand.

From “what moved?” to “why?”

Price tells you what happened. Research starts when you ask why.

The market-data tool can surface the most liquid relevant pairs and show the exact chain, DEX and timestamp behind the numbers. ChainGPT Web3 AI can then analyze the asset, protocol or theme. News and market signals add the surrounding context.

That combination is useful for questions such as:

  • What is driving a token’s move today?
  • Is volume confirming the price action?
  • Which pair has the deepest liquidity?
  • How does one Layer 1 compare with its closest competitors?
  • What changed around a protocol over the last seven days?
  • Is a viral claim supported by the project’s original announcement?

The agent can choose the right capability for each step and keep the result connected to the original question.

Built for the speed of crypto

Crypto does not wait for a weekly report. Markets move continuously, narratives rotate quickly and the same ticker can refer to different assets on different chains.

The connector is designed around those realities. Market lookups can use a contract address when a symbol is ambiguous. Results preserve the chain, DEX, pair and observation time. News searches use explicit topics and date windows. Research responses carry attribution and generation time so the agent can distinguish a live observation from analysis.

This makes the output easier to use in a morning market brief, detailed token research, a competitive comparison, a due-diligence session or a fast check before a team meeting.

One connector, a much bigger crypto surface

Bitcoin and Ethereum are part of the picture, but they are not the boundary.

ChainGPT Crypto Research is built to cover the broader market: tokens, protocols, blockchains, DeFi, infrastructure, gaming, AI, RWAs, memecoins and the narratives connecting them. Users can move between live market data and open-ended research without leaving the Muse conversation.

That is the opportunity behind ChainGPT x Muse: give a general AI agent the specialist crypto intelligence to answer deeper questions, faster.

Availability in Muse

ChainGPT Crypto Research has been built, hosted and tested with compatible MCP clients. We have submitted the connector to Muse, and it is currently pending Muse review.

There is no supported consumer route for manually adding the private connector before approval. If Muse approves the connector and confirms an installation path, we will publish setup instructions through official ChainGPT channels.

In the meantime, ChainGPT’s crypto research tools remain available through the AI Hub.

→ Explore ChainGPT AI Hub

About ChainGPT

ChainGPT builds AI tools for Web3. The AI Hub at app.chaingpt.org brings the consumer tools together in one app: a Web3 AI Chatbot, Smart Contract Generator and Auditor, AI NFT Generator, AI News, AI Trading Assistant, AI Crypto Alerts, a Crypto Compliance Assistant, and Cross-Chain Swap. Developers use the same stack through the public API (docs at docs.chaingpt.org) and five open-source NPM SDKs, or through the ChainGPT Developer Kit for Claude Code. The ecosystem runs on $CGPT.

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