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Post-Trade Confirmation Screenshot Tool

Trading · All
0 installs · Verified BotGentz app
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CategoryTrading
PlatformAll
Pricing Free
Installs0
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About this app

WHAT IT DOES

Post-Trade Confirmation Screenshot Tool is your automated record-keeping companion for all your trades on DEXs and NFT marketplaces. It automatically detects confirmation pages after successful trades, capturing detailed transaction receipts including token amounts, prices, gas costs, and transaction hashes. The tool uses HTML-to-Canvas rendering to capture screenshots of the confirmation page, then organizes all captured confirmations with timestamps, trade details, and transaction data in a searchable gallery. It provides one-click export of confirmation data as JSON or image, and maintains persistent storage of all your trade confirmations for comprehensive record-keeping and tax documentation.

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), 0x Protocol (0x.org), CowSwap (cow.fi), PancakeSwap (app.pancakeswap.finance), and major NFT marketplaces including OpenSea (opensea.io), Blur (blur.io), and LooksRare (looksrare.org). It works on swap pages, NFT purchase pages, and any confirmation page displaying transaction receipts.

HOW TO USE

Install the script through the BotGentz userscript manager. Navigate to any supported DEX or NFT marketplace and complete a trade. The tool will automatically detect the confirmation page and capture a screenshot with all transaction details. Click "Connect Wallet" to link your EVM wallet extension for enhanced verification. Use the "Capture Now" button to manually capture confirmation data at any time. View your captured confirmations in the gallery panel, with each entry showing the transaction hash, trade details, timestamp, and captured screenshot. Use the export buttons to save confirmation data for tax reporting or personal records. The tool automatically manages retention based on your configured days setting.

DOM-TO-CANVAS CONFIRMATION CAPTURE ENGINE WITH PERSISTENT ARCHIVE

Unlike simple bookmarking or URL saving, this tool implements a comprehensive confirmation capture engine that extracts structured data from the DOM and captures visual screenshots simultaneously. The engine uses a multi-layered detection system that identifies transaction hashes (via 0x...64 pattern recognition), token amounts (using numeric extraction with token name correlation), gas costs, and price data from confirmation pages. The screenshot capture uses a serialized DOM-to-canvas rendering approach that preserves the visual confirmation exactly as displayed. Each capture is stored with a unique ID, timestamp, and comprehensive metadata including platform source, token pair, amounts, price, gas used, and transaction hash. The archive maintains up to 100 confirmations with automatic retention management, ensuring you always have access to recent trade records.

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 your confirmation count, recent captures, and current detection status.

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 for transaction verification. The tool works with major DEXs and NFT marketplaces but may not detect all confirmation page formats correctly. Screenshot capture relies on DOM rendering and may not capture iframes or cross-origin content. No user data is collected or transmitted—all confirmations and screenshots stay local in your browser storage. The tool provides assistance with record-keeping but cannot verify the authenticity of on-chain data beyond what the page displays.

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