NFT volume is the most systematically manipulated number in crypto. Traders sell to themselves to farm token rewards, to inflate a collection's apparent activity, or to manufacture a price history. CryptoSlam was the first platform to filter that out and publish the difference.
How the filtering works
Transactions between related wallets, circular trades and self-funded loops are identified and excluded, with the methodology documented rather than hidden. Both raw and adjusted figures are shown, so users can see exactly how much of a collection's reported volume is genuine. On some collections during incentive periods, the gap has exceeded 90%.
Limitations
Heuristics catch obvious patterns and miss sophisticated actors who fund wallets through exchanges or mix their activity. Adjusted figures should be read as a floor on genuine volume rather than an exact measurement.
Coverage and cost
Multi-chain, spanning years of history, free to read with paid API tiers for developers. The interface is basic compared with paid analytics platforms, and the data is the product.
Who should use it
Anyone citing NFT volume figures. Checking a collection's adjusted volume against its reported volume takes seconds and is the single most useful diligence step in this category.