Repeat Buyer Pattern Alert

WHAT IT DOES

Repeat Buyer Pattern Alert is your wallet behavior analysis tool that detects and alerts on repeat buyer patterns across DEX swaps, NFT marketplaces, and token transfers. It automatically detects wallet addresses involved in transactions and analyzes their interaction patterns based on frequency, timing, and token preferences. The tool displays alerts when a buyer shows repeated purchasing behavior matching defined patterns—such as frequency threshold (minimum purchases within a time window), token type preferences, and price ranges. It shows a buyer profile with purchase history and pattern indicators, supports configurable pattern detection thresholds, and provides real-time pattern detection with visual notifications.

WHERE IT RUNS

This script runs on all major DEX interfaces including Uniswap (app.uniswap.org), SushiSwap (app.sushi.com), Curve (curve.fi), Balancer (balancer.fi), 1inch (1inch.io), CowSwap (cow.fi), major NFT marketplaces including OpenSea (opensea.io), Blur (blur.io), LooksRare (looksrare.org), Zora (zora.co), Rarible (rarible.com), Foundation (foundation.app), and Etherscan (etherscan.io). It works on swap pages, NFT listings, token transfer pages, and any page displaying wallet addresses with transaction data.

HOW TO USE

Install the script through the BotGentz userscript manager. Click "Connect Wallet" to link your EVM wallet extension. Navigate to any supported page showing transactions with wallet addresses. The tool automatically scans for buyers and analyzes their patterns. Configure pattern detection thresholds: set minimum purchases for pattern identification, time window for frequency analysis, and pattern threshold score (0-1). The panel displays detected patterns with buyer address, purchase count, token variety, and pattern score. When a pattern is detected, you receive a browser notification. The tool tracks buyer history across sessions and maintains a record of all detected patterns.

PATTERN-BASED BUYER BEHAVIOR ANALYSIS ENGINE WITH MULTI-FACTOR SCORING

Unlike simple address trackers that just count transactions, this tool implements a sophisticated pattern analysis engine that evaluates buyer behavior across multiple dimensions. The engine tracks each wallet's purchasing activity including frequency (number of purchases within the configured time window), token variety (diversity of tokens purchased), and purchase timing patterns. The pattern score is calculated using a weighted formula: frequencyScore (70%) based on purchase count relative to the minimum threshold, and tokenScore (30%) based on token diversity normalized to a 0-1 scale. The combined score determines whether behavior constitutes a repeat pattern (configurable threshold, default 0.5). The system maintains persistent buyer history across sessions, allowing it to detect patterns that span multiple visits. Each detection triggers a visual notification and stores the pattern in history for reference.

THE PANEL

The floating panel is fully draggable and snap-to-edge enabled. You can collapse it to a compact bubble when not in use, resize it to your preferred dimensions, and it remembers its position across page loads using persistent storage. Press Escape to quickly dismiss the panel. The panel displays detected patterns with buyer addresses, purchase counts, token variety, pattern scores, and recent pattern history with timestamps.

PLEASE NOTE

This script requires the free BotGentz extension to be installed in your browser—it does not run as a standalone extension. You also need a real EVM wallet extension already installed and configured. The tool cannot access purchase history beyond what is observed while the page is open and relies on the page exposing wallet addresses and transaction data in a detectable format. Pattern definitions are user-configured and may produce false positives or miss subtle patterns. No user data is collected or transmitted—all pattern detection history stays local in your browser storage. The tool provides pattern detection assistance but does not guarantee detection of all repeat buyer patterns.