- TRACE
- LOGS
- FLOW
- HUMAN
Short answer
How can I use AI to trace onchain transactions?
Your AI uses Bitquery to run GraphQL queries that pull transaction history, wallet balances, and smart contract logs across different blockchains. This lets you map out how funds move between addresses and identify specific contract interactions. You get a clear view of the movement through the following process.
Audit outcomes
What you'll find
The results of your investigation.
TRACE
Path mapping
The AI follows a specific transaction through multiple hops. You see exactly where funds landed and which wallets were involved.
LOGS
Contract activity
Your agent pulls event logs from smart contracts. This reveals how specific functions were called and how state changed.
FLOW
Volume analysis
The AI aggregates transaction data to show total inflows and outflows. You get a clear picture of liquidity movement.
HUMAN
Manual review
The AI flags suspicious patterns or specific address clusters. You decide if these movements warrant a deeper investigation.
The workflow
What your AI does when the data arrives.
The AI acts as the bridge between your natural language questions and the blockchain's raw data.
Querying the chain
Your agent translates your request into a specific GraphQL query to fetch raw data from the blockchain.
query_v1Mapping paths
The AI parses the returned transaction data to link sender and receiver addresses in a sequence.
query_v1Analyzing contracts
The agent looks at smart contract interactions to see how specific calls affected token balances.
query_v1Summarizing movement
The AI condenses thousands of lines of transaction logs into a readable summary of fund movement.
query_v1
Try it
Copy these to start.
Use these prompts to begin your investigation.
Starting points
Replace the bracketed text with the specific wallet address or contract you want to investigate.
Bitquery Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_KU35mdsrfwl05byKZplozxH5s4oOqPEODwO2ZR75/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Bitquery capabilities are ready to use.
{
"mcpServers": {
"bitquery-web3-blockchain-graphql-apis-mcp": {
"url": "https://edge.vinkius.com/vk_preview_KU35mdsrfwl05byKZplozxH5s4oOqPEODwO2ZR75/mcp"
}
}
}Trace the flow of funds from address [0x...] to see where they moved in the last 24 hours.
List all smart contract interactions for [Contract Address] involving the [Token Name] token.
Find the transaction path for the transfer of [Amount] [Token] from [Address A] to [Address B].
Show me the historical transaction volume for [Wallet Address] across different blockchains.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Bitquery once, then ask.
Just link your Bitquery account to Vinkius. Your credentials stay encrypted, and you can immediately start querying the blockchain with your agent.
Connect Bitquery to your AIFAQ
How this task behaves
- 01
Can the AI execute transactions on the blockchain?
No. The AI can only read and query data through Bitquery. It cannot sign transactions or move funds.
- 02
Does the AI work on all blockchains?
Yes, as long as the data is accessible via Bitquery's GraphQL API.
- 03
Can the AI change my wallet settings?
No. The AI has no access to your private keys or wallet configurations.
- 04
Can I use this to find real-time price data?
Yes, the AI can query onchain price movements and liquidity pool data.
- 05
Will the AI store my query history?
The AI client you use handles your chat history, not the Bitquery MCP itself.
More questions about Bitquery? The Connector page answers them. See everything the Bitquery Connector can do
Connect Bitquery to Claude, Cursor, ChatGPT & more
