Crypto Gloss

Merchant Moe

Merchant Moe is the primary vote-escrow DEX on Mantle Network — combining the ve(3,3) emission governance model with the Liquidity Book AMM architecture (discrete price bins, as pioneered by Trader Joe), using MOE and veMOE for gauge-directed liquidity incentives, enabling protocols to direct Mantle-based token liquidity via the bribe marketplace while providing both CLMM-style efficiency and legacy constant-product pool types.

Overview

Merchant Moe occupies a distinct niche on Mantle Network alongside Agni Finance: while Agni delivers raw capital efficiency via Uniswap V3 CLMM pools, Merchant Moe provides governance-directed liquidity via the ve(3,3) gauge system. New Mantle ecosystem tokens and protocols bootstrap liquidity through Merchant Moe’s gauge voting rather than raw liquidity mining incentives — paying bribes to veMOE holders in exchange for having their pools receive MOE emissions.

The DEX’s AMM is built on a Liquidity Book variant (inspired by Trader Joe’s LB AMM), using discrete price bins rather than continuous tick ranges. Each bin holds liquidity at a single price, with 100% of trading fees going to the single active bin. This provides “spot-like” pricing at the market price and efficient fee concentration.

AMM Architecture: Liquidity Book

The protocol is built around the following components.

Discrete Bin Model

Merchant Moe uses a Liquidity Book-inspired AMM:

  • Liquidity is organized into discrete bins, each representing a single price point (e.g., WMNT = $0.8000, $0.8001, $0.8002…)
  • Each bin holds a fixed ratio of token X and token Y
  • When a swap occurs, it traverses bins from the active price outward
  • The active bin (current market price) receives 100% of all trading fees
  • Out-of-active-bin liquidity earns zero fees until the price moves into that bin
  • This concentrates fee revenue intensely compared to Uniswap V3 where fees are spread across the range

Pool Types

  • Auto Pools — liquidity auto-managed within a range; liquidity rebalances as price moves (similar to Agni Finance’s CLMM auto pools)
  • Static Pools — LPs manually define a bin distribution shape (uniform, bid-ask, curve-weighted)
  • Legacy AMM — constant-product x×y=k pool for full-range liquidity (used for new tokens with wide price uncertainty)

ve(3,3) Token Model

Token design and economics are covered in detail below.

MOE Token

MOE is the base emission token:

  • Emitted weekly to liquidity providers in gauge-weighted pools
  • Not vote-locked directly; instead traded or locked for veMOE
  • Used in pair liquidity (MOE/WMNT, MOE/USDC are primary pairs)

veMOE (Vote-Escrow MOE)

veMOE is created by locking MOE:

  • Lock MOE for fixed periods → receive veMOE proportional to lock duration
  • veMOE is non-transferable (non-tradeable)
  • veMOE used to vote on which pools receive MOE emissions each epoch
  • Voting rewards: veMOE voters earn a portion of trading fees from voted pools + any bribe payments directed to that pool

Weekly Epoch Cycle

  1. Monday — voters allocate veMOE to pools they want to receive emissions
  2. During week — MOE emitted proportionally to each pool’s received votes
  3. End of epoch — fee revenue and bribe income distributed to voters who supported each pool
  4. New epoch — votes reset; process repeats

Bribe Marketplace

Merchant Moe’s bribe system enables external protocols to direct MOE emissions:

  • Protocol wanting liquidity on a pool → deposits bribe tokens (USDC, WMNT, their own token) into Merchant Moe’s bribe contract for that pool
  • veMOE holders vote for their pool, knowing bribe income is distributed to voters of that pool
  • Economic equilibrium: protocols pay slightly less in bribes than the MOE emissions value they receive

Mantle Ecosystem Position

Merchant Moe vs Agni Finance:

  • Merchant Moe = where new Mantle tokens go first (broad launch support, governance-directed emissions)
  • Agni Finance = where mature pairs go for capital-efficient trading (CLMM, aggregator routing)
  • Both coexist; many tokens have both pools (Merchant Moe for emission bootstrapping, Agni for CLMM efficiency)
  • Merchant Moe’s veMOE system captures MEV from emission direction — beneficial for MOE holders
  • Agni’s AGN system captures trading fees from CLMM depth — beneficial for AGN holders

Sources

  1. Merchant Moe Documentation — Merchant Moe Team, 2023. Protocol documentation covering Liquidity Book AMM mechanics (discrete bin design, bin step sizes, active bin fee concentration, pool types: Auto/Static/Legacy), ve(3,3) tokenomics (MOE supply, veMOE lock mechanics, epoch cycle, gauge voting, fee and bribe distribution), and integration guides for protocols bootstrapping Mantle liquidity via Merchant Moe gauge marketplace.
  1. “Liquidity Book AMM: Trader Joe’s Design and Its Derivatives (Merchant Moe)” — AMM Architecture Research, 2023. Technical analysis of the Liquidity Book AMM — comparing discrete bin design to Uniswap V3 continuous ticks, examining fee concentration advantages, slippage profiles, LP IL exposure differences, and applications in ve(3,3) emission systems like Merchant Moe. is distributed across all ticks within range proportionally; fee per swap distributed to all ticks the swap traversed proportionally to liquidity at that tick; Liquidity Book uses discrete bins with bin price = (1 + binStep)^binId; all liquidity in a bin is at single price; fee from a swap traversal of a bin goes 100% to that bin’s LPs; when bin is only partial-size swap, fee allocated to active portion); IL comparison (Uniswap V3 in-range position: continuous IL as price moves through range; Liquidity Book in-bin position: zero IL while in active bin — all price exposure is from the single bin type rather than gradual IL; when price exits bin, LP is left with 100% of losing asset; conceptually similar to a series of limit orders filled at each discrete price step; net IL over a full price cycle may be similar but the distribution is spike-shaped rather than smooth); practical implication (LB AMM better for protocols designing specific LP strategies: bid-ask spread liquidity, concentrated range strategies; Uniswap V3 better for continuous active management LP strategies).]
  1. “Mantle Liquidity Bootstrap Strategies: Merchant Moe’s Role for New Protocol Token Launches” — Mantle Ecosystem Research, 2023–2024. Analysis of how new Mantle Native protocols use Merchant Moe’s gauge marketplace to bootstrap initial liquidity — examining bribe economics, typical launch parameters, comparison to alternative bootstrap strategies (direct emission matching, token sale + LP seeding), and success metrics for Merchant Moe-bootstrapped pools.
  1. “veMOE Tokenomics: Lock Duration Optimization and Governance Participation” — Token Economics Research, 2023. Quantitative modeling of veMOE lock dynamics — optimal lock duration for different user profiles (active voters, passive investors, bribe farmers), impact of epoch carryover on governance concentration, and comparison to Velodrome/THENA ve(3,3) implementations.
  1. “Discrete Bin AMMs and Impermanent Loss: Comparing Bin vs Continuous Liquidity” — LP Economics Research, 2023. Mathematical analysis of impermanent loss profiles for Liquidity Book vs Uniswap V3 vs constant-product AMMs — deriving the IL function for each, examining how bin step size affects slippage and LP outcomes, and identifying pair types where each AMM model is most favorable for LPs.

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