Dune on data accuracy
9.0/ 35% of the score
Marketplace events are decoded and queryable, so anyone can define a wash-trade filter, publish it and have others re-run it.
Journalism for the digital-asset economy
Best NFT & AI Tools · Rank 01 of 8
Building your own NFT analysis from raw data
Last verified August 16, 20264 scored axes
Documented, with gaps
Dune scores 8.7 out of 10 and ranks #1 of 8 in the best nft & ai tools table, strongest on data accuracy (9.0) and weakest on pricing honesty (8.0).
Decoded marketplace data you can query directly, which means you can define your own wash-trade filter instead of trusting someone else's. It demands SQL and rewards it.
4 axes, weighted as published in the table’s methodology. Each score below is read from the fact printed under it.
9.0/ 35% of the score
Marketplace events are decoded and queryable, so anyone can define a wash-trade filter, publish it and have others re-run it.
8.8/ 25% of the score
Decoded marketplace data across major chains; newly deployed contracts must be decoded before they appear.
8.0/ 20% of the score
Free tier allows querying within published execution limits.
8.6/ 20% of the score
Queries and results export as CSV and the SQL is portable to any equivalent dataset.
NFT volume figures are unreliable because self-dealing between related wallets inflates them, and every provider makes a private decision about how to strip that out. Dune exposes the decoded marketplace events, so you can define your own filter, publish it, and let anyone re-run it against the same data. That is the difference between a number you were given and a number you can defend.
SQL. Without it you are browsing dashboards built by others, whose filters you cannot check and whose authors may be confidently wrong. With it, you can answer questions nobody has published, which in this market is most of the interesting ones.
Decoded marketplace data across the major chains, with newly deployed contracts requiring decoding before they appear — so the freshest collections are the hardest to query. The free tier allows querying within published execution limits, and results export as CSV with the SQL portable to any equivalent dataset.
Analysts, funds and anyone publishing NFT market claims who would rather show their working than cite a dashboard.
Fork an existing public dashboard for the collection you care about, read its filter, and change the parts you disagree with. That workflow teaches the data faster than any documentation and leaves you with a figure you can defend.
Because each provider applies its own wash-trade filter, and most do not publish the method. Dune lets you define and publish your own filter so others can reproduce your figure.
To build anything, yes. Without it you can only browse public dashboards, whose accuracy depends on queries you would need SQL to check.
It covers decoded marketplace events across major chains, but newly deployed contracts must be decoded before they appear, so very new collections can lag.
8 services in best nft & ai tools