Analyze A Wallet With AI
Turn a raw transaction history into a readable profile: strategy, holding periods, risk behaviour and realised performance.
/ quick answer
Export and normalise the history, let AI classify and summarise behaviour, then verify the conclusions that would change your decisions. Turn a raw transaction history into a readable profile: strategy, holding periods, risk behaviour and realised performance.
- 01Export the address history per chain via an explorer or analytics API, including token transfers and swaps.
- 02Normalise into one table: timestamp, action, token, size, counterparty, USD value at the time.
- 03Filter out spam airdrops, dust and transfers between the wallet's own addresses.
- 04Have AI classify behaviour: trader, holder, farmer, market maker, bot — with the evidence for the label.
- 05Ask for realised and unrealised performance estimates and demand the calculation, not just the number.
- 06Verify decisive numbers directly in the explorer before using them.
- 07Save the profile and re-run periodically to see whether the behaviour changed.
/ frequently asked
What does the Analyze A Wallet With AI workflow do?
Export and normalise the history, let AI classify and summarise behaviour, then verify the conclusions that would change your decisions.
What problem does Analyze A Wallet With AI solve?
A wallet's history is thousands of undifferentiated transactions. Reading it manually is slow and it is easy to mistake noise for strategy.
How many steps does Analyze A Wallet With AI take?
7 steps. It starts with export the address history per chain via an explorer or analytics api, including token transfers and swaps. and ends with save the profile and re-run periodically to see whether the behaviour changed..
How do I set up Analyze A Wallet With AI step by step?
1) Export the address history per chain via an explorer or analytics API, including token transfers and swaps. 2) Normalise into one table: timestamp, action, token, size, counterparty, USD value at the time. 3) Filter out spam airdrops, dust and transfers between the wallet's own addresses. 4) Have AI classify behaviour: trader, holder, farmer, market maker, bot — with the evidence for the label. 5) Ask for realised and unrealised performance estimates and demand the calculation, not just the number. 6) Verify decisive numbers directly in the explorer before using them. 7) Save the profile and re-run periodically to see whether the behaviour changed.
Which tools does Analyze A Wallet With AI need?
It uses onchain-research-stack, ai-crypto-research-stack — each linked below with its own node.
/ continue exploring
Related concepts
The vocabulary this page depends on.
- →On-chain Data
On-chain data is the public record of every transaction, balance and contract call — the raw material for wallet tracking and market research.
- →Wallet Tracking
Wallet tracking is the practice of monitoring specific addresses and getting notified when they trade, transfer or interact with contracts.
- →Smart Money
Smart money is a label for wallets with a documented history of profitable, early positioning — a research filter, not a signal to copy blindly.
- →Multichain
Multichain means operating across several networks at once — more opportunity, more surfaces to secure and more addresses to monitor.
Related workflows
Turn this into a repeatable process.
- →AI Crypto Research Workflow
A repeatable research loop: turn a question into market data, on-chain evidence and a written risk view before any position is considered.
- →AI Token Research Workflow
Screen a token in under 30 minutes: contract facts, liquidity structure, holder concentration and a written risk verdict.
- →Turn Deep Research Into a Weekly Executive Brief
Use an AI Deep Research agent every Monday to produce a cited market brief in 20 minutes.
- →Build a Research Automation Pipeline
Question in, sourced structured brief out — on a schedule.
Related tool stacks
The tools that run it in production.
- →On-chain Research Stack
Explorer, indexer and analytics layers combined so wallet and token questions get answered with verifiable data.
- →AI Crypto Research Stack
A read-only research stack combining an AI assistant, web search, market data and on-chain analytics to screen assets quickly.
Related prompts
Reusable prompts for this job.
- →Wallet Analysis Prompt
Turns a transaction export into a behavioural profile: strategy type, timeframes, risk pattern and whether the wallet is worth watching.
- →Transaction Analysis Prompt
Explains what a specific transaction did, what it authorised, and what risk it left behind.
- →Token Research Prompt
Structures a full token due-diligence pass: mechanics, liquidity, concentration, bear case and unverifiable claims flagged explicitly.
- →Smart Money Analysis Prompt
Tests whether a group of 'smart money' wallets is genuinely informative or a survivorship-biased label.
Related use cases
How people apply it, and what came out.
- →Find Smart Money Activity
A research group verified 40 leaderboard wallets and kept only 11, turning a noisy signal source into a usable research queue.
- →Monitor Wallet Transactions
Alerting on the user's own wallet activity caught an unauthorised approval attempt and forced an approval cleanup that removed 14 standing allowances.
- →Build An AI Crypto Research Agent
A read-only research agent produced daily briefings on a 30-token watchlist, cutting a 90-minute manual routine to a 10-minute review.
- →Analyze Wallets With AI
AI profiling of 60 candidate wallets cut a week of manual review to an afternoon and identified 4 worth monitoring.
Comparisons & alternatives
Pick between the options.
- →AI Research vs Traditional Research
AI research compresses breadth and drafting; traditional research supplies verification and accountability for the claims you act on.
- →Hot Wallet vs Cold Wallet
Hot wallets trade convenience for exposure; cold wallets trade friction for a signing key that never touches an internet-connected device.
- →On-chain Data vs Exchange Data
On-chain data shows verifiable wallet-level behaviour; exchange data shows aggregate price discovery. Serious research needs both.