Ekubo vs Native

Volume & Liquidity

Ekubo leads on both primary liquidity indicators. It posts $76.5M 24h volume versus Native’s $60.3M, and—more importantly—Ekubo has $121.0M TVL compared with Native’s ~$14K TVL, a gap large enough to materially change execution quality.

TVL is the stronger signal for depth and slippage resistance. With $121M TVL and 126 trading pairs / 40 coins, Ekubo is far more likely to sustain tighter pricing across a wider asset set. Native’s 9 pairs / 8 coins plus extremely low TVL implies liquidity is either highly fragmented, externally sourced, or too thin for consistent large-trade execution.

In practical terms, Ekubo’s liquidity profile supports larger orders and more reliable routing, while Native’s volume-to-TVL mismatch suggests that reported volume may not be backed by meaningful on-chain pool depth (or is concentrated in a very small set of markets).

Fee Structure & Costs

Based on the provided data, Native shows $0 fees (24h) and $0 revenue (24h), while Ekubo shows $16K fees (24h) and $2K revenue (24h). If taken at face value, Native offers a cheaper explicit fee experience for traders, whereas Ekubo clearly collects trading fees and allocates a smaller portion to protocol revenue.

However, total trading cost is more than the DEX fee line item: gas costs and price impact often dominate. Ekubo’s deployment on Starknet can offer low transaction costs, while its Ethereum presence can be more expensive during congestion; Native’s chain set includes BSC/Polygon/Arbitrum, which can also be low-cost for gas. That said, Native’s minimal TVL increases the risk that traders “pay” via slippage rather than fees.

Net: by the strict fee numbers provided, Native wins on explicit fees, but traders should verify whether $0 reflects a real zero-fee model, an incentive period, or incomplete fee attribution—and weigh it against execution quality.

Multi-chain & Ecosystem

Native has materially broader chain coverage: Binance, Ethereum, Polygon, Arbitrum, Mantle, ZetaChain, Avalanche, Manta, and zkLink (9 environments) versus Ekubo on Starknet and Ethereum (2 environments). This widens Native’s addressable user base and allows it to follow liquidity and narratives across multiple ecosystems.

Broader chain support also tends to correlate with more integration surfaces (wallets, bridges, on-ramp routes, and cross-chain opportunities). In contrast, Ekubo’s footprint is more focused, which can be a strength for depth and product iteration within a specific ecosystem, but it is not as expansive in reach.

Given the data, Native clearly wins on ecosystem breadth—though breadth alone doesn’t guarantee liquidity or best execution.

User Recommendations

Use Ekubo if you care most about dependable execution: its much higher TVL and broader market set (126 pairs) make it better suited for regular spot trading, larger order sizes, and exploring more assets without immediately running into thin books. Traders who want Starknet exposure (potentially lower gas and a growing L2 ecosystem) will likely find Ekubo’s environment more purpose-built.

Use Native if your priority is chain flexibility and you mostly trade a small set of markets (only 9 pairs listed). Native can be attractive for users who want optionality across many networks and prefer to stay within a particular chain’s wallet/tooling stack.

From a UX standpoint, most users experience “good UX” as fast fills, low slippage, and consistent liquidity. On that measure, Ekubo’s liquidity advantage is likely to feel meaningfully better in day-to-day use than a multi-chain venue with very low TVL.

Trends & Innovation

The provided dataset lists trends as N/A for both venues, so forward-looking assessment relies on product trajectory and positioning. Ekubo’s focus on Starknet + Ethereum aligns with the ongoing migration of spot liquidity and advanced AMM designs toward L2s, where lower fees can enable more active rebalancing and tighter spreads.

Ekubo’s metrics already show meaningful scale (notably TVL), which tends to create a flywheel: more liquidity supports better execution, which attracts more volume, which in turn attracts more liquidity. Its non-zero protocol revenue also suggests an operating model that can sustain development.

Native’s broad chain list is strategically interesting, but the combination of very low TVL and zero reported fees/revenue raises questions about durability (e.g., whether activity depends on incentives, external routing, or temporary conditions). Innovation may exist in its multi-chain approach, but the current on-chain liquidity footprint looks early-stage.