Paperhand offers
Overview
Paperhand is a tool designed to help collectors find NFT artworks on the secondary market from artists they follow, with a focus on identifying pieces priced close to their original primary sale price.
Features
Tracks secondary market listings across multiple Tezos NFT platforms
Filters artworks based on customizable parameters
Shows detailed artwork information including price history
Supports up to 500 results per search
Real-time data with hourly cache updates
Prerequisites
You must connect your wallet to use this tool
You need to configure a list of artists to follow in the Monitoring Configuration
Search Parameters
1. Max Difference
Set the maximum percentage above the primary sale price you're willing to pay
Example: Enter "30" to see artworks priced up to 30% above their original sale price
2. Price Range
Min Price: Minimum price in tezos you're willing to pay
Max Price: Maximum price in tezos you're willing to pay
3. Supply Range
Min Supply: Minimum edition size of artworks to include
Max Supply: Maximum edition size of artworks to include
Results Display
The results table shows:
Date of listing
Token ID
Artist name
Artwork title
Royalty percentage
Edition supply
Seller's wallet address
Primary sale price
Current listing price
Price difference percentage
Platform where listed
History link (for full access users)
Access Levels
Demo Mode: Limited access with hidden pricing information
Full Access: Complete information including:
Artwork links
Exact pricing (primary and current)
Platform links
History tracking
Notes
Data is cached and refreshed hourly for performance
Maximum of 500 results per search
Primary price is calculated as the average price of all primary editions sold by the artist
Results can be sorted by clicking column headers
URL parameters are supported for sharing specific searches
Usage Tips
Start with broader parameters and narrow down as needed
Use the sort functionality to identify the best deals
Check artwork history before purchasing
Save interesting searches by bookmarking the URL with parameters
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