Section IV: Where NFTs Actually Trade

The Marketplace Wars

NFT marketplaces started as simple listing sites but quickly evolved into sophisticated financial infrastructure. OpenSea dominated the early market by being first to launch and offering the easiest user experience. But during the peak NFT boom, OpenSea became complacent and slow to innovate, creating an opening for competitors.

The competition intensified around a fundamental technical flaw. NFT royalties were never built into the core ERC-721 and ERC-1155 token standards, which meant creator fees couldn't be automatically enforced. While a newer standard called ERC-2981 allowed contracts to suggest royalty amounts, actually paying those royalties remained completely optional. This technical gap gave marketplaces a powerful way to compete: they could simply ignore creator fees.

Most NFT collections set creator royalties between 5-10%, which buyers traditionally paid on top of the purchase price. Blur, a new marketplace, saw an opportunity to exploit this weakness. They launched with a three-part strategy. First, they built tools for professional traders, including advanced portfolio management, real-time pricing feeds, and sophisticated filtering. Second, they made royalties optional, requiring only a 0.5% minimum payment to creators. Third, they incentivized trading activity by rewarding users with BLUR tokens.

OpenSea's response was inconsistent and ultimately ineffective. They enforced full royalties for newer collections through their Operator Filter (launched in November 2022) but couldn't enforce fees on older collections. Traders naturally migrated to Blur's lower-fee structure, and OpenSea's market dominance began to crumble.

The situation grew more complicated with the rise of aggregator protocols. These platforms, including Gem and Genie, solved a different problem: market fragmentation. They checked prices across multiple marketplaces and automatically executed trades wherever users got the best deal. This innovation inadvertently amplified Blur's advantage. Since aggregators routed users to the lowest-cost marketplace, Blur's fee discount became a structural advantage that attracted more and more volume. The value of this infrastructure layer became obvious when both aggregators were quickly acquired: Gem by OpenSea and Genie by Uniswap. Aggregators have since faded in relevance as trading activity consolidated back to OpenSea, making cross-marketplace routing less necessary.

Blur's strategy worked, at first. By February 2023, Blur had surpassed OpenSea in trading volume. By August 2023, this competition helped push OpenSea to abandon its royalty enforcement policy entirely. But Blur's dominance proved temporary. Much of its volume was driven by token incentives and airdrop farming rather than organic demand, and as those incentives dried up and NFT trading volumes collapsed across the board, Blur's structural advantages mattered less. By 2025, OpenSea had reclaimed its position as the dominant Ethereum NFT marketplace, a comeback few predicted during the height of Blur's ascent.

The Pricing Mechanics

Understanding how NFTs are priced requires grasping a few key concepts that differ from traditional markets.

The most watched metric in any NFT collection is the floor price. It serves as the collection's baseline valuation, but it can be deeply misleading. An NFT with rare traits might sell for 10x or more above the floor. A Bored Ape with golden fur and laser eyes, for example, is worth far more than one with common brown fur and normal eyes.

This variability created a need for more sophisticated pricing approaches. Trait-based pricing emerged as one solution, taking into account the individual characteristics of each NFT rather than treating all pieces in a collection as equivalent.

Another innovation, collection-wide bidding, addressed a different problem: illiquidity. Instead of bidding on one specific NFT, buyers could place bids on any NFT meeting certain criteria, like "any Bored Ape with laser eyes." This improved liquidity for sellers and made price discovery more efficient. The tradeoff was philosophical: it commoditized supposedly unique assets. Blur attempted to popularize trait-level bidding by rewarding it with loyalty points, and OpenSea added support for both collection and trait offers, but in practice trait bidding never gained widespread adoption. Most trading activity continued to center on floor sweeps and collection-wide bids rather than granular trait-based strategies.

This tension between uniqueness and fungibility sits at the heart of NFTs. Every design decision, from marketplace features to pricing mechanisms, reflects this fundamental paradox and shapes everything about how NFTs are used and valued.