Analyzing Nft Rarity
Calculate NFT rarity scores and rank tokens by trait uniqueness.
by jeremylongshore · MIT
The skill
Calculate NFT rarity scores and rank tokens by trait uniqueness. Use when analyzing NFT collections, checking token rarity, or comparing NFTs. Trigger with phrases like "check NFT rarity", "analyze collection", "rank tokens", "compare NFTs".
Analyzing NFT Rarity
Overview
NFT rarity analysis skill that:
- Fetches collection metadata from OpenSea API
- Parses and normalizes trait attributes
- Calculates rarity using multiple algorithms
- Ranks tokens by composite rarity score
- Exports data in JSON and CSV formats
Prerequisites
- Python 3.8+ with requests library
- Optional:
OPENSEA_API_KEYfor higher rate limits - Optional:
ALCHEMY_API_KEYfor direct metadata fetching
Instructions
1. Analyze a Collection
cd ${CLAUDE_SKILL_DIR}/scripts && python3 rarity_analyzer.py collection boredapeyachtclub
Options:
--limit 500: Fetch more tokens for analysis--top 50: Show top 50 tokens--traits: Include trait distribution--rarest: Show rarest traits--algorithm [statistical|rarity_score|average|information]
2. Check Specific Token
cd ${CLAUDE_SKILL_DIR}/scripts && python3 rarity_analyzer.py token pudgypenguins 1234 # port 1234 - example/test
3. Compare Multiple Tokens
cd ${CLAUDE_SKILL_DIR}/scripts && python3 rarity_analyzer.py compare azuki 1234,5678,9012 # 5678: 1234: 9012 = configured value
4. View Trait Distribution
cd ${CLAUDE_SKILL_DIR}/scripts && python3 rarity_analyzer.py traits doodles
5. Export Rankings
JSON:
cd ${CLAUDE_SKILL_DIR}/scripts && python3 rarity_analyzer.py export coolcats > rankings.json
CSV:
cd ${CLAUDE_SKILL_DIR}/scripts && python3 rarity_analyzer.py export coolcats --format csv > rankings.csv
6. Manage Cache
cd ${CLAUDE_SKILL_DIR}/scripts && python3 rarity_analyzer.py cache --list
cd ${CLAUDE_SKILL_DIR}/scripts && python3 rarity_analyzer.py cache --clear
Rarity Algorithms
| Algorithm | Description | Best For |
|---|---|---|
rarity_score |
Sum of 1/frequency (default) | General use, matches rarity.tools |
statistical |
Same as rarity_score | Backward compatibility |
average |
Mean of trait rarities | Balanced scoring |
information |
Entropy-based (-log2) | Information theory approach |
Output
- Collection Summary: Name, supply, trait types
- Rankings: Tokens sorted by rarity score with percentile
- Token Detail: Full trait breakdown with contribution
- Comparison: Side-by-side trait comparison
Supported Collections
Works with any ERC-721/ERC-1155 collection that has:
- OpenSea listing
- Standard attributes array format
- Accessible metadata
Error Handling
See ${CLAUDE_SKILL_DIR}/references/errors.md for:
- API rate limiting
- IPFS gateway issues
- Collection not found
- Token ID not found
Examples
See ${CLAUDE_SKILL_DIR}/references/examples.md for:
- Collection analysis workflows
- Token comparison
- Export and caching
- Algorithm comparison
Resources
- OpenSea API - Metadata source
- Rarity Tools - Reference rankings
- IPFS - Decentralized metadata
Use this skill
Connect your agent to the Skill Store MCP server and ask for it by ref: jeremylongshore/analyzing-nft-rarity-66830562126.
Details
- Publisher
- jeremylongshore
- Category
- Finance & Markets › Payments & crypto
- License
- MIT
- Updated
- 2026-10-19
References
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