nft-analytics-guide

name	nft-analytics-guide
description	Guide to NFT analytics — floor price tracking, wash trading detection, rarity analysis, collection metrics, and marketplace comparison. Covers free tools and APIs for evaluating NFT collections and individual tokens. Use when helping users research NFT markets or evaluate collections.
metadata	{"openclaw":{"emoji":"🖼️"}}

NFT Analytics Guide

A practical guide to analyzing NFT markets and collections using free tools and on-chain data.

Key NFT Metrics

Collection-Level Metrics

Metric	What It Means	Good Sign
Floor Price	Cheapest available NFT in collection	Stable or rising over weeks
Total Volume	All-time trading volume	>1,000 ETH for established collections
Unique Holders	Number of distinct wallets	>30% of supply held by unique wallets
Holder/Supply Ratio	Holders ÷ Supply	>0.5 (more holders than concentrated)
Listed %	What % of supply is for sale	5–15% is healthy
Sales Velocity	Number of sales per day	Consistent daily sales > sporadic
Wash Trading %	Fake volume between same wallets	<10% is acceptable
Royalty Revenue	Ongoing income for creators	Shows sustainable business model

Individual NFT Metrics

Metric	What It Means
Rarity Score	How unique the traits are
Last Sale Price	What it actually sold for
Trait Floor	Floor price of NFTs with the same rare trait
Ownership History	How many previous owners, holding time

Free Analytics Tools

Collection Analysis

Tool	What It Provides	Access
OpenSea	Floor, volume, listed %, activity	Free (web)
Blur	Floor, bids, depth charts	Free (web)
NFTGo	Market overview, whale tracking, portfolio	Free tier
Reservoir	Multi-marketplace aggregated data	Free API
DappRadar	NFT collection rankings, volume	Free tier

Rarity Tools

Tool	What It Calculates
Rarity.tools	Trait-weighted rarity scores
HowRare.is	Solana NFT rarity
Trait Sniper	Real-time rarity with alerts
Rarity Sniper	Community-driven rarity rankings

On-Chain Analysis

Tool	What It Provides
Dune Analytics	Custom SQL queries on NFT data
Flipside Crypto	NFT analytics dashboards
Etherscan	Raw transfer and sale events

Wash Trading Detection

Wash trading is selling NFTs between your own wallets to inflate volume.

Detection Methods

Signal	How to Spot
Same buyer/seller	Same address on both sides (obvious)
Wallet cluster	Multiple wallets funded from same address
Back-and-forth	A sells to B, B sells back to A
Round-trip timing	Buy and sell within same block/minute
No price discovery	Sales always at same price
Zero royalties	Using platforms that avoid royalties (reducing cost of wash)

Wash Trading Indicators

Suspicious if:
- >50% of volume from <10 wallets
- Average holding time <1 hour
- Same NFTs traded repeatedly between same addresses
- Volume spikes without holder growth

Tools for Detection

Tool	What It Does
Hildobby's Dune dashboard	Filters wash trades from real volume
NFTGo wash trade filter	Tags suspicious transactions
CryptoSlam	Reports adjusted volume (excluding wash)

Marketplace Comparison

Marketplace	Fee	Royalties	Best For
OpenSea	2.5%	Creator-set (often optional)	Discovery, variety
Blur	0%	Optional	Pro traders, floor sweeping
LooksRare	2%	Enforced on some	LOOKS token rewards
Magic Eden	2%	Creator-set	Multi-chain (ETH, Solana, BTC)
Reservoir	0% (protocol)	Varies	API/aggregation layer

Aggregators

Tool	What It Does
Gem (by OpenSea)	Cross-marketplace sweeping
Blur	Also aggregates listings
Reservoir	API-level aggregation for builders

ERC Standards for NFTs

Standard	What It Is	Use Case
ERC-721	Unique tokens (1 of 1)	PFPs, art, collectibles
ERC-1155	Multi-token (copies allowed)	Gaming items, tickets
ERC-6551	Token-bound accounts (NFTs as wallets)	NFTs that own assets
ERC-8004	On-chain agent identity	AI agents as NFTs with reputation

Sperax context: ERC-8004 is the standard Sperax created for on-chain AI agent identity. Each agent is minted as an NFT with metadata about its capabilities, reputation score, and validation status. It's deployed on 12 chains.

NFT Valuation Framework

For PFP/Art Collections

Factor	Weight	What to Check
Community	30%	Discord activity, holder engagement, celebrity holders
Floor stability	25%	Look at 30/90 day floor chart, not just current
Volume quality	20%	Real volume after removing wash trades
Utility	15%	Token-gated access, airdrops, real-world perks
Team	10%	Track record, transparency, roadmap execution

For Utility NFTs

Factor	Weight	What to Check
Functional value	40%	What does holding this NFT actually get you?
Protocol adoption	25%	Is the underlying protocol growing?
Supply dynamics	20%	Mint rate, burn mechanics, total cap
Revenue generation	15%	Does the NFT generate yield or fee share?

Dune Analytics Queries for NFTs

Collection Volume (Last 30 Days)

SELECT
    date_trunc('day', block_time) as day,
    COUNT(*) as sales,
    SUM(amount_usd) as volume_usd
FROM nft.trades
WHERE nft_contract_address = 0x... -- collection address
  AND block_time > now() - interval '30 days'
GROUP BY 1
ORDER BY 1

Holder Distribution

SELECT
    COUNT(DISTINCT wallet) as unique_holders,
    SUM(CASE WHEN balance = 1 THEN 1 ELSE 0 END) as single_holders,
    SUM(CASE WHEN balance > 10 THEN 1 ELSE 0 END) as whales
FROM (
    SELECT to as wallet, COUNT(*) as balance
    FROM erc721_transfers
    WHERE contract_address = 0x...
    GROUP BY 1
)

Agent Tips

1. Always check for wash trading — reported volume can be 50–90% fake
2. Floor price is the most honest metric — it's the actual cost to enter
3. Low listed % is usually bullish — holders aren't trying to sell
4. Whale concentration — if top 10 wallets hold >30%, they control the floor
5. Use aggregators for best prices — don't buy on just one marketplace
6. ERC-8004 NFTs are different — they represent AI agents with reputation, not art
7. Bear market NFTs — focus on utility and revenue, not hype

Links

• OpenSea: https://opensea.io
• Blur: https://blur.io
• Reservoir: https://reservoir.tools
• NFTGo: https://nftgo.io
• Dune (NFT queries): https://dune.com
• ERC-8004 (agent NFTs): https://eips.ethereum.org/EIPS/eip-8004