Paperhand Seller Detector

WHAT IT DOES

Paperhand Seller Detector is your NFT market intelligence tool that identifies sellers who frequently list and sell NFTs shortly after acquisition—the notorious "paperhands" that can cause market instability. It automatically scans NFT collection listing pages and activity feeds, detecting wallet addresses and analyzing seller behavior patterns including average hold time, listing frequency, and discount rate from floor price. The tool calculates a Paperhand Score (0-100) with five visual labels: 💎 Diamond (high conviction holder), 🛡️ HODLer (strong hold), 👤 Casual (occasional seller), 📄 Paperhand (frequent quick seller), and 🐋 Whale Dumper (large-scale rapid seller). It highlights seller addresses on listings with color-coded badges, shows recent activity timelines for suspicious sellers, provides one-click flagging for high-risk sellers, and tracks paperhand behavior trends over time.

WHERE IT RUNS

This script runs on all major NFT marketplaces including OpenSea (opensea.io), Blur (blur.io), LooksRare (looksrare.org), Zora (zora.co), Rarible (rarible.com), and Foundation (foundation.app). It works on collection listing pages, activity feeds, and any page displaying seller information with NFT listings.

HOW TO USE

Install the script through the BotGentz userscript manager. Click "Connect Wallet" to link your EVM wallet extension. Navigate to any NFT collection listing page or activity feed. The tool automatically scans the page for seller addresses and analyzes their behavior patterns. Each seller receives a Paperhand Score and color-coded badge displayed next to their address. Low-scoring sellers (paperhands) are highlighted with red outlines for easy identification. Use the "Scan Page" button to manually trigger detection, or enable auto-highlight for automatic detection. The panel shows score distribution, seller count, watchlist status, and detailed breakdown of paperhand scoring thresholds.

BEHAVIORAL SELLER ANALYTICS ENGINE WITH SCORE TIERING

Unlike simple address lookups that just show a wallet, this tool implements a comprehensive behavioral analytics engine that evaluates seller patterns across multiple dimensions. The engine analyzes three key behavioral factors: hold time (how long sellers keep NFTs before listing), listing frequency (how often they list items), and discount rate (how much they undercut floor prices). Each factor is normalized to a 0-100 scale and weighted to produce a final Paperhand Score. The hold time component rewards longer holding periods (40% weight), listing frequency penalizes rapid listing cycles (30% weight), and discount rate identifies desperate sellers who undercut the market (30% weight). The score tiering system uses configurable thresholds: Diamond (80+), HODLer (60-79), Casual (40-59), Paperhand (20-39), and Whale Dumper (0-19). Each tier is visually distinguished with unique badge colors and emojis, providing instant visual recognition of seller quality on any listing page.

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 seller count, watchlist size, score distribution across all tiers, and the top 5 lowest-scoring sellers.

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 detect paperhand behavior for wallets with limited transaction history visible on the page and relies on the page exposing acquisition data and listing history in a detectable format. Some marketplaces limit historical data visibility affecting score accuracy. No user data is collected or transmitted—all scores and watchlist data stay local in your browser storage. The tool provides analytical insights for NFT market evaluation but does not constitute investment advice or guarantee scoring accuracy across all marketplace layouts.