Calculating NFT Rarity Scores and Rankings

v20260423

analyzing-nft-rarity

A comprehensive skill for analyzing Non-Fungible Tokens (NFTs). It fetches collection metadata from APIs (like OpenSea), parses trait attributes, and calculates advanced rarity scores using multiple algorithms (e.g., rarity_score, information entropy). Use this tool to rank tokens by uniqueness, compare specific NFTs, or analyze the distribution of traits within an entire collection, outputting results in JSON or CSV format. Ideal for crypto research and market due diligence.

NFT Crypto Analysis Rarity OpenSea Blockchain Data Scoring

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Overview

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_KEY for higher rate limits
Optional: ALCHEMY_API_KEY for 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

Info

Category Data Science

Name analyzing-nft-rarity

Version v20260423

Size 25.36KB

Source jeremylongshore/claude-code-plugins-plus-skills

Updated At 2026-04-28