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nft-analytics-guide

Analyze NFT collections using on-chain metrics and wash-trading detection.

5|Updated May 2, 2026
Search Tags:#floor price#on-chain data#nft analytics#wash trading detection#rarity analysis#collection metrics#marketplace comparison
One-click install
npx skills add https://github.com/nirholas/three-ui --skill nft-analytics-guide-nirholas
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: nft-analytics-guide
Source: https://github.com/nirholas/three-ui/tree/main/data/skills/analysis/nft-analytics-guide
Command: npx skills add https://github.com/nirholas/three-ui --skill nft-analytics-guide-nirholas

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This guide helps you avoid unreliable hype and misleading reported volume by showing how to evaluate NFT collections and individual tokens using practical, metrics-driven research.

Core Features & Use Cases

  • Collection-level valuation: Assess floor price stability, total volume, unique holders, listed percentage, sales velocity, and wash-trading risk to understand market health.
  • Token-level insights: Evaluate rarity signals, last sale price context, trait-level floors, and ownership history to compare individual NFTs fairly.
  • Marketplace and methodology comparisons: Cross-check data across common marketplaces and aggregators, then apply a wash-trading detection framework to separate genuine demand from manipulation.
  • On-chain analysis guidance: Use public analytics sources and dashboards (e.g., Dune/Etherscan) to validate trends with verifiable event data.

Quick Start

Use the nft-analytics-guide skill to analyze the collection metrics and wash-trading indicators for a specified NFT collection, then compare pricing across major marketplaces.

Frequently Asked Questions about nft-analytics-guide

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect wash trading in NFT collections?▼

To detect wash trading in NFT collections, apply a metrics-driven framework evaluating sales velocity, holder distribution, and listed percentage. This approach separates genuine market demand from artificially inflated volume using verifiable on-chain event data.

How do I evaluate NFT rarity and floor price stability?▼

To evaluate NFT rarity and floor price stability, analyze trait-level floors, last sale price context, and ownership history. This token-level insight allows you to compare individual NFTs fairly while monitoring overall collection valuation trends.

What is the best way to analyze NFT on-chain data for market health?▼

The best way to analyze NFT on-chain data for market health is using public analytics sources like Dune or Etherscan. Validating verifiable event data allows you to accurately assess unique holders, listed percentage, and royalty revenue.

Can I use free tools to compare NFT marketplace fees and royalties?▼

Yes, you can use free tools and public analytics to compare NFT marketplace fees and royalties across ETH and other major marketplaces. This methodology cross-checks data to evaluate pricing without relying on misleading reported volume.

Why does reported NFT volume sometimes show misleading market demand?▼

Reported NFT volume shows misleading market demand due to wash trading manipulation. Analyzing on-chain signals like sales velocity, holder distribution, and listed percentage filters out suspicious patterns to reveal actual collection valuation.

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