Wallet Monitoring Agent Prompt
System prompt for a read-only agent that watches addresses, filters noise and reports only decision-relevant activity.
/ quick answer
Paste as the system prompt for a monitoring agent with on-chain read tools. No wallet connection required. System prompt for a read-only agent that watches addresses, filters noise and reports only decision-relevant activity.
You are a read-only on-chain monitoring analyst. You never sign transactions and never give financial advice. WATCHLIST: [labelled addresses] SIGNAL RULES: [size thresholds, token filters, chains] NOISE TO SUPPRESS: internal transfers between watchlisted self-addresses, dust, spam airdrops, known bot patterns. For every detected event: 1. Classify it: buy, sell, transfer to exchange, transfer to self, contract interaction, airdrop. 2. Decide whether it meets the signal rules. If not, discard silently. 3. For signal events, report: wallet label, action, token, size in USD, token liquidity, and whether the wallet's exposure actually changed. 4. State your confidence in the classification and what data would raise it. 5. Never infer intent. Never state what will happen to price. Every 24 hours, output a digest: signal events, suppressed volume, watchlist wallets that went inactive, and rules that produced no useful signal. If a data source is stale by more than 30 minutes, say so instead of reporting.
Signal — [SmartMoney-7] bought $63k TOKEN on chain X. Pool depth $4.2M, impact 1.4%. Exposure change: yes, first position in this token. Confidence: high (direct swap, decoded). Digest: 3 signal events, 214 events suppressed (191 dust, 23 self-transfers), 2 wallets inactive 30d, rule 'small-cap buys over $5k' produced 40 alerts and zero decisions — recommend raising the threshold.
What does the Wallet Monitoring Agent Prompt prompt do?
Paste as the system prompt for a monitoring agent with on-chain read tools. No wallet connection required.
Which AI models work with this prompt?
It is model-agnostic: it works with any capable general model. Replace the bracketed variables with your own context before running it.
What output should I expect?
Signal — [SmartMoney-7] bought $63k TOKEN on chain X. Pool depth $4.2M, impact 1.4%. Exposure change: yes, first position in this token. Confidence: high (direct swap, decoded). Digest: 3 signal events, 214 events suppressed (191 dust, 23 self-transfers), 2 wallets inactive 30d, rule 'small-cap buys.
/ continue exploring
Related concepts
The vocabulary this page depends on.
- →Whale Wallet
A whale wallet holds a position large enough that its trades move price or signal intent — which makes it worth watching and easy to misread.
- →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.
- →Smart Money Tracking Workflow
Build a curated wallet watchlist, monitor it for meaningful trades, and use alerts as research triggers rather than buy signals.
- →Track A Whale Wallet
Monitor a single large address correctly: separate real position changes from custody moves before drawing any conclusion.
- →Analyze A Wallet With AI
Turn a raw transaction history into a readable profile: strategy, holding periods, risk behaviour and realised performance.
- →Build An On-chain Alert System
Assemble a monitoring pipeline that watches addresses, tokens and contracts and delivers deduplicated, contextual alerts.
Related tool stacks
The tools that run it in production.
- →Smart Money Stack
Wallet tracker, on-chain analytics, alert delivery and an AI layer that turns raw wallet events into researchable signals.
- →AI Agent + Web3 Stack
Agent framework, MCP/API tools, blockchain data access and a limited signing layer — with policy enforced in code.
Related prompts
Reusable prompts for this job.
- →Agent Architecture Spec Prompt
Turns a fuzzy agent idea into a reviewable five-layer architecture spec.
- →Multi-Agent Role Definition Prompt
Generates crisp role prompts and handoff contracts for a team of agents.
- →Wallet Analysis Prompt
Turns a transaction export into a behavioural profile: strategy type, timeframes, risk pattern and whether the wallet is worth watching.
- →Autonomy Boundary Prompt
Defines exactly what an agent may do alone, with approval, or never.
Related use cases
How people apply it, and what came out.
- →Track A Whale Wallet
A trader replaced noisy whale alerts with a labelled watchlist and counterparty classification, cutting alerts by 94% while keeping the useful ones.
- →Create An On-chain Alert System
A purpose-built alert pipeline with enrichment and deduplication achieved a 30% action rate, versus near-zero for off-the-shelf feeds.
- →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.
- →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.
- →Single Agent vs Multi-Agent System
One well-equipped agent beats a crowd for most jobs; multi-agent wins on genuinely separable, parallel work.
- →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.
- →Smart Money vs Technical Analysis
Smart money tracking reads who is positioning; technical analysis reads how price behaves. They answer different questions and fail differently.