Fluid vs Near Intents — Comparison Report
Volume & Liquidity
Fluid is currently the clear volume leader, posting $238.7M in 24h volume versus $39.0M for Near Intents. That level of throughput suggests strong routing demand and/or highly competitive pricing, and it can be attractive for active traders who prioritize execution frequency.
Liquidity is the opposite story: Fluid shows $0 TVL (effectively “no reported/recognized TVL” in the provided dataset), while Near Intents reports $54.9M TVL. For users, TVL is the more direct proxy for depth and reliability of available liquidity under stress—especially when market volatility spikes.
Putting the two together (volume and liquidity), Near Intents offers the more convincing liquidity foundation in the data provided. Fluid’s high volume is notable, but without non-zero TVL it’s harder to underwrite consistent slippage performance or resilience from the dataset alone.
Near Intents has substantial reported liquidity ($54.9M TVL) while Fluid reports $0 TVL in the provided data, making Near Intents stronger on the combined “volume & liquidity” dimension despite lower 24h volume.
Fee Structure & Costs
On a pure fees-to-volume basis, Fluid looks materially cheaper: $37K fees on $238.7M volume implies roughly ~1.6 bps in aggregate fee take. Near Intents shows $129K fees on $39.0M volume, roughly ~33 bps, which is meaningfully higher for frequent traders.
That difference likely reflects product design: Near Intents is categorized as a cross-chain bridge/intent layer, where costs can bundle relayer/solver spreads, bridge fees, and multi-leg execution across chains. Even if the UX is streamlined, users often pay indirectly through solver pricing or execution spread, and they can also incur gas on the source and destination chains depending on the route.
Fluid, positioned as a DEX with AMM liquidity enhanced by “Smart Collateral,” appears to deliver more cost-efficient trading in the reported metrics. While actual user cost also depends on the underlying chain’s gas (not provided for Fluid), the observed fee intensity strongly favors Fluid for cost-sensitive execution.
Fluid’s fee intensity is far lower (~1.6 bps implied) than Near Intents (~33 bps implied), making it the better value for frequent trading based on the provided fee and volume data.
Multi-chain & Ecosystem
Near Intents is built for broad cross-chain coordination, supporting a wide set of ecosystems (including Ethereum, Bitcoin, Near, Solana, Tron, Arbitrum, Polygon, Avalanche, Optimism, Base, and many more). This breadth matters because it increases routing optionality, improves access to fragmented liquidity, and makes it easier for users to move value and execute actions without committing to a single chain.
Fluid’s chain coverage is listed as N/A in the provided data, which prevents any data-driven argument that it competes on ecosystem reach. Even if Fluid is strong within its home environment, the dataset does not indicate comparable multi-chain availability.
From an integration standpoint, intent-based systems tend to accumulate ecosystem partnerships (solvers, wallets, aggregators, bridges, and application-layer integrations). With 166 trading pairs across many chains, Near Intents is structurally positioned to sit “above” individual DEX venues as a routing/execution layer.
Near Intents supports a large multi-chain set (20+ ecosystems listed) while Fluid’s chain coverage is not specified in the data, giving Near Intents a decisive ecosystem advantage.
User Recommendations
Choose Fluid if you are a high-frequency trader or liquidity provider who wants a DEX-native experience and is specifically interested in capital efficiency via “Smart Collateral” (using LP positions as collateral). This is most compelling for advanced DeFi users who actively manage positions and want to stack yield/utility across trading and collateralization.
Choose Near Intents if you want a more universal, destination-agnostic experience: moving assets and executing swaps/actions across chains with fewer manual steps. The intent model can reduce user burden (you express the desired outcome; solvers route execution), which is especially attractive for users who don’t want to manage bridging, chain switching, and fragmented liquidity manually.
From a practical UX standpoint, the combination of many supported chains, 166 pairs, and an intent abstraction layer generally translates into an easier “one-stop” experience for mainstream users. Fluid’s value proposition is powerful but more specialized and likely best leveraged by users comfortable with LP mechanics and collateralized strategies.
Near Intents’ intent-based, cross-chain abstraction typically reduces user friction versus managing manual bridging and venue selection, making it the stronger overall UX for most users.
Trends & Innovation
Fluid’s headline innovation is Smart Collateral: allowing LPs to use liquidity positions as collateral while deploying them as AMM liquidity. Conceptually, this targets one of DeFi’s biggest inefficiencies—idle collateral—and pushes toward more composable, capital-efficient market structures.
Near Intents, however, is innovating at the transaction model layer: intent-based execution that can coordinate assets, actions, services, and even AI agents across chains. This is a credible path to aggregating liquidity and functionality across an increasingly fragmented multi-chain world, where users care about outcomes rather than venue mechanics.
The provided trends also favor Near Intents’ near-term trajectory: TVL +4.6% vs 7d avg and volume +5.6% vs 7d avg indicate expanding usage, even as fees trend -8.7% suggests improving pricing competitiveness or shifting mix. Fluid lacks trend data in the dataset, making Near Intents the clearer momentum story right now.
Near Intents combines a novel intent-based cross-chain execution model with measurable positive TVL and volume trends in the provided data, indicating both innovation and momentum.
✨ Bottom Line
Near Intents wins overall due to its real, sizable reported liquidity, extensive multi-chain coverage, and a product direction aligned with where DeFi usage is heading (outcome-based, cross-chain execution). Fluid stands out for very low implied fee intensity and an innovative LP-as-collateral concept, but the dataset’s $0 TVL and missing chain context weaken its risk-adjusted case.
If you optimize for lowest trading fee take, Fluid is compelling; if you optimize for broad access, liquidity confidence, and cross-chain execution, Near Intents is the stronger all-around choice.
Near Intents offers the best combined package of liquidity, ecosystem breadth, and forward-looking execution design based on the provided metrics and trends.