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Technical Infrastructure and Design

Published 7/9/2026, 1:57:46 AM

Metric's propAMM (Proprietary Automated Market Maker) infrastructure represents a significant departure from traditional decentralized exchange (DEX) models by replacing passive, formula-based liquidity with active, professional market-making. By utilizing a hybrid architecture that combines off-chain pricing engines with on-chain execution, Metric offers capital efficiency and spreads that rival centralized exchanges (CEXs), though it introduces new risks related to execution transparency and centralization [Source: https://solana.com/news/understanding-proprietary-amms].

Technical Infrastructure and Design

Unlike traditional AMMs like Uniswap, which rely on static mathematical curves (e.g., $x \times y = k$), Metric's propAMM uses a two-part system:

Comparison: propAMM vs. Traditional DEX Models

FeatureTraditional AMM (Uniswap V2/V3)Metric propAMM
Pricing LogicPassive, fixed mathematical formulaActive, dynamic off-chain engine
Price DiscoveryDriven by arbitrageursDriven by real-time oracle updates
SpreadsTypically 5–30+ bps0–0.5 bps (CEX-competitive) [Note: 1]
Capital EfficiencyLow (liquidity spread across curve)High (concentrated at current price)
LP ParticipationPermissionless (anyone can LP)Proprietary (professional makers only)

[Note 1: Metric claims 0–0.5 bps; independent research by Castle Labs confirms tight spreads of 0.33–1.36 bps [Source: https://castlelabs.io/research/propamms-better-than-cex].]

Challenging Traditional Pricing Models

Metric's infrastructure challenges the status quo in three primary areas:

  1. Execution Quality: In a March 2026 analysis of 20 million fills, Metric reported that 91.9% of propAMM fills were cheaper than the best CEX tiers [Source: https://x.com/metriconchain/status/1962688469764866060]. Independent research from Jump Crypto confirms that median fills execute within 0.72 bps of the CEX midpoint [Source: https://jumpcrypto.com/resources/propamms-and-the-next-chapter-of-permissionless-market-structure].
  2. Market Dominance: On Solana, propAMMs have captured significant volume, at times exceeding 50% of spot trading volume for high-liquidity pairs like SOL/USDC [Source: https://x.com/metriconchain/status/1962688469764866060]. However, this dominance is contested; recent data suggests share may fluctuate between 20% and 40% as traditional DEXs regain ground [Source: https://www.gate.com/research/article/gate-research-prop-amm-revamp-solana-liquidity].
  3. MEV Resistance: By updating prices intra-block and maintaining tight spreads, propAMMs significantly compress the "sandwich attack" surface compared to public AMM pools [Source: https://solana.com/news/understanding-proprietary-amms].

Risks and Counterpoints

Despite the efficiency gains, the propAMM model introduces specific trade-offs:

  • Quote-Execution Divergence (Spoofing): There are documented instances, particularly on the Base network, where propAMMs quote tight spreads to win aggregator routing but widen them just before settlement. This "spoofing" can impact trades by 5–10 basis points [Source: https://0x.org/post/propamm-shenanigans].
  • Opacity: Unlike the transparent logic of Uniswap, propAMM strategies are "black boxes." Traders must rely on aggregators to filter out stale or malicious quotes [Source: https://0x.org/post/propamm-shenanigans].
  • Centralization: By moving away from permissionless LPing, market power is concentrated among a few professional firms, potentially leading to "phantom liquidity" that disappears during high volatility [Source: https://solana.com/news/understanding-proprietary-amms].

In conclusion, Metric's propAMM infrastructure successfully challenges traditional DEXs on pricing efficiency and capital utilization for liquid assets, but its reliance on proprietary, off-chain logic introduces new vectors for execution risk and centralization that traditional models avoid.