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airdrop-strategies-and-community-building
Blog

The Future of Value Capture: Rewarding the Infrastructure You Used

A first-principles analysis of why successful L2s and dApps must retroactively fund the L1s and middleware that enabled them, creating sustainable, recursive value flows.

introduction
THE VALUE FLOW

Introduction

Blockchain's next evolution shifts value capture from end-state assets to the real-time infrastructure enabling them.

Value capture is misaligned. Users pay for infrastructure like L2s and bridges, but the value accrues to the final application's token. This creates a fee-to-value disconnect where the cost center and profit center are separate entities.

The future is retroactive. Protocols like EigenLayer and Espresso Systems are proving that infrastructure can capture value by rewarding the specific components used in a transaction's lifecycle, not just its destination.

Evidence: EigenLayer's restaking secures over $15B in TVL by allowing staked ETH to be reused as cryptoeconomic security for new networks, directly monetizing the base layer.

thesis-statement
THE VALUE LOOP

The Core Thesis: Recursive Value Flows

Protocols must capture value by rewarding the infrastructure that enabled their own transaction.

Value capture is recursive. A protocol's transaction depends on prior infrastructure like L2s, bridges, and oracles. The protocol must share its revenue with that stack. This creates a self-reinforcing economic loop where infrastructure funding scales with application success.

Current models are parasitic. Applications like Uniswap on Arbitrum extract value from the L2's subsidized blockspace without returning value. This creates a tragedy of the commons where infrastructure becomes a public good that starves.

Recursive flows invert the stack. Protocols like Across and Stargate demonstrate this by routing fees to relayers and verifiers. The next step is automated revenue-sharing smart contracts that split fees with every dependent service.

Evidence: L2 sequencer revenue. Arbitrum generates ~$1M monthly from sequencing, but $0 flows back to Ethereum for its security. A recursive model would share a percentage, aligning the entire stack's incentives.

VALUE FLOW ANALYSIS

The L2 Subsidy: A Quantitative Look

Comparing how different L2 architectures capture and redistribute value from transaction fees and MEV.

Value Capture MechanismArbitrum (AnyTrust)Optimism (OP Stack)zkSync Era (ZK Stack)Base (OP Stack Fork)

Sequencer Revenue Model

100% to DAO Treasury

Net sequencer profit to Protocol Guild

Net sequencer profit to Matter Labs

Net sequencer profit to Coinbase + Optimism Collective

Fee Subsidy to Users

None

Retroactive Public Goods Funding (RPGF) rounds

None

Onchain Creator Rewards & RPGF

MEV Redistribution

Proposer-Builder Separation (PBS) via Timeboost

MEV-Boost Auction & MEV Smoothing Pool

zkPorter & Prover Network incentives

MEV-Boost Auction (inherited)

Avg. User Fee Burn Rate

~70% burned via L1 data posting

~80% burned via L1 data posting

~90% compressed via Validity Proofs

~80% burned via L1 data posting

Developer Revenue Share

Grant programs from DAO

OP Stack revenue share for superchain apps

ZK Stack hyperchain revenue share

Onchain "Builder Grants" from revenue

Governance Token Utility

ARB: Fee voting & treasury control

OP: Protocol upgrades & RPGF voting

ZK: Future governance (TBD)

None (relies on OP governance)

Annualized Sequencer Profit (Est.)

$120M - $180M

$80M - $130M

$40M - $70M

$200M - $300M

deep-dive
THE INFRASTRUCTURE REVENUE MODEL

From Free-Riding to Funding: The Mechanics

This section details how intent-based architectures create a direct, auction-based revenue stream for infrastructure providers.

Intent-based architectures invert the fee model. Traditional blockchains charge users directly for execution, creating a free-rider problem for auxiliary services. Intents create a marketplace where solvers bid for the right to fulfill user requests, with the winning bid's fee funding the entire transaction path.

The revenue flow is explicit and competitive. In protocols like UniswapX or CowSwap, the user's fee is not a gas payment but a bounty. This bounty is split between the winning solver and the underlying infrastructure they used, such as Across for bridging or 1inch for liquidity aggregation.

This funds previously unmonetized layers. Pre-confirmation privacy via Flashbots SUAVE or cross-chain messaging via LayerZero becomes a billable service within the solver's bundle. The solver's profit is the difference between the user's maximum fee and their cost to procure these services.

Evidence: UniswapX processes over $10B volume. Its success demonstrates that users will pay for the abstracted complexity of MEV protection and cross-chain execution, creating a sustainable revenue pool for the solvers and infrastructure that compete to serve them.

case-study
INFRASTRUCTURE VALUE FLOWS

Case Studies: Who's Doing It Right (And Who Isn't)

Protocols are re-architecting to capture and redistribute value back to the critical infrastructure they depend on.

01

UniswapX: Paying for the Bridge You Use

The Problem: Swaps across chains required users to pre-fund wallets and pay gas on the destination chain, creating a terrible UX. The Solution: UniswapX abstracts liquidity and execution into a network of fillers who compete on price, including cross-chain routes. The protocol directly compensates fillers for providing bridging infrastructure via auction fees, creating a market for cross-chain liquidity.

  • Key Benefit: Users get a single, gasless signature experience.
  • Key Benefit: Fillers (infrastructure) capture value proportional to the service they provide.
Gasless
User Experience
Auction-Based
Filler Rewards
02

EigenLayer & Restaking: The Meta-Infrastructure Play

The Problem: New protocols (AVSs) must bootstrap their own decentralized validator set and trust network from scratch—a capital-intensive, slow process. The Solution: EigenLayer allows Ethereum stakers to restake their ETH to secure additional services (rollups, oracles, bridges). This creates a flywheel where infrastructure services pay for security from a shared pool.

  • Key Benefit: AVSs instantly access ~$15B+ in pooled security capital.
  • Key Benefit: Stakers (infrastructure providers) earn additional yield for providing a generalized security service.
$15B+
Pooled Security
Multi-Yield
Staker Rewards
03

Failed Model: Pure Burn-and-Hope Tokenomics

The Problem: Many L1s and dApps use token burns (e.g., fee burning) to create deflationary pressure, hoping it accrues value to token holders. This does nothing to reward the actual infrastructure (validators, RPC providers, indexers) that keeps the chain running. The Solution: None. This is the anti-pattern. Value is destroyed instead of being directed to service providers, leading to long-term sustainability issues as infrastructure atrophies.

  • Key Flaw: Burns create speculative pressure, not operational sustainability.
  • Key Flaw: Core network operators are under-compensated, creating centralization risk.
Value Leak
Infrastructure
Speculative
Accrual
04

The Graph: Explicit Indexer Rewards

The Problem: dApps need fast, reliable blockchain data queries, but running indexing infrastructure is costly and complex. The Solution: The Graph creates a marketplace where indexers stake GRT to provide query services, and consumers (dApps) pay for queries. Fees flow directly to indexers and delegators, with protocol inflation providing additional staking rewards.

  • Key Benefit: Clear, on-chain value flow from consumer to infrastructure provider.
  • Key Benefit: ~600+ Indexers are economically incentivized to maintain high uptime and performance.
600+
Indexer Network
Query Fees
Direct Reward
05

Solana Priority Fees: Paying for Compute

The Problem: In a max-throughput blockchain, users compete for block space. Without explicit fees, transactions fail during congestion, and validators have no incentive to prioritize them. The Solution: Solana's priority fee is a direct tip paid by users to validators for including and ordering their transactions. This explicitly rewards the compute and networking infrastructure at the moment of greatest demand.

  • Key Benefit: Users get reliable transaction inclusion during peak load.
  • Key Benefit: Validator revenue scales with network demand, aligning incentives.
Demand-Based
Fee Market
Validator Tip
Direct Reward
06

Lido & the Staking Middleman Dilemma

The Problem: Lido provides critical liquid staking infrastructure but captures most of the value (staking rewards + MEV) for its token holders, while the underlying node operators (the actual infrastructure) are paid a fixed commission. The Solution? Debatable. While successful, this model centralizes infrastructure risk and creates a value capture imbalance. The protocol (LDO) captures the upside, while operators bear the slashing risk for a fixed fee. New models like Obol and SSV aim to rebalance this by focusing on decentralized operator sets.

  • Key Tension: $30B+ TVL demonstrates demand but highlights centralization risk.
  • Key Tension: Infrastructure providers (operators) are commoditized.
$30B+
TVL
Fixed Fee
Operator Pay
counter-argument
THE LIBERTARIAN FALLACY

The Counter-Argument: "Let The Market Decide"

The free-market argument for infrastructure funding ignores the systemic risk of underfunded public goods.

The market fails at valuing public goods. Core infrastructure like the EVM, L2 sequencers, or RPC endpoints are non-excludable commodities. Users and applications free-ride on these resources, creating a classic tragedy of the commons where underinvestment creates systemic fragility.

Protocols are not islands. A dApp's success depends on a stack of shared infrastructure. The "market" for a single app cannot price the security of the underlying chain or the reliability of data oracles like Chainlink. This creates a massive negative externality where protocol profits are privatized while infrastructure risks are socialized.

Fee abstraction hides costs. Wallets like MetaMask and Rabby, or intent-based systems like UniswapX and CowSwap, abstract gas and bridge fees from end-users. This improves UX but decouples usage from payment, making it impossible for the market to signal demand for specific infrastructure components.

Evidence: Ethereum's proposer-builder separation (PBS) emerged because the market for block space alone failed to fund sustainable, decentralized block building. The ecosystem required a new, explicit market design (MEV-Boost, mev-Share) to solve a critical infrastructure problem.

risk-analysis
THE FUTURE OF VALUE CAPTURE

Risks & Failure Modes

Current infrastructure models reward builders, not the underlying protocols that enable them. This misalignment risks systemic fragility and stifles innovation.

01

The MEV Cartel Problem

Value from transaction ordering is captured by a small group of searchers and validators, creating a centralized rent-seeking layer. This distorts incentives and increases user costs.

  • Extracted Value: $1B+ annually in pure rent.
  • Systemic Risk: Cartels can censor transactions or manipulate DeFi oracles.
  • User Impact: Higher gas costs and worse execution prices for all.
$1B+
Annual Rent
>80%
Validator Concentration
02

The Infrastructure Free-Rider

Apps like Uniswap and Aave generate billions in fees but contribute little to the security or data availability of the underlying chains they depend on (Ethereum, Arbitrum).

  • Value Leakage: ~$2B in annual protocol revenue secured by a separate, underfunded base layer.
  • Sustainability Risk: If L1 security fails, all L2s and dApps fail with it.
  • Current Model: Infrastructure is a public good, profit is privatized.
$2B+
Annual Protocol Rev
0%
Direct Security Contribution
03

Solution: Protocol-Owned Liquidity & Fees

Infrastructure must capture value directly via native tokens and fee switches. Think EigenLayer for pooled security or Celestia for modular DA.

  • Direct Alignment: Fees fund the resource providers (validators, sequencers, DA nodes).
  • Sustainable Security: Creates a flywheel where usage strengthens the network.
  • Emerging Models: EigenLayer restaking, Celestia DA fee burn, L2 sequencer fee splits.
10x+
Stake Yield Potential
-90%
Subsidy Reliance
04

Solution: Intent-Based Architectures

Shift from transaction-based to outcome-based systems (UniswapX, CowSwap, Across). Users express a goal, solvers compete to fulfill it, and the protocol captures the efficiency gain.

  • MEV Recapture: Solvers' profit becomes protocol revenue.
  • Better UX: Users get guaranteed outcomes, not failed transactions.
  • Infrastructure Reward: The routing layer (e.g., Across, LayerZero) is paid for its role, not bypassed.
20-50%
Better Execution
$100M+
Annual Fee Potential
05

Failure Mode: Regulatory Arbitrage

Value capture mechanisms that look like securities (e.g., profit-sharing tokens) attract regulatory scrutiny. Howey Test failures could cripple the model.

  • Legal Risk: SEC actions against Coinbase, Uniswap Labs set precedent.
  • Fragmentation: Protocols may retreat to non-US jurisdictions, weakening network effects.
  • Innovation Chill: Teams avoid sustainable models for fear of enforcement.
High
Regulatory Risk
>50%
US Market Share at Risk
06

Failure Mode: Centralized Points of Capture

Value capture concentrated in a foundation treasury or VC-backed entity (e.g., early L2 sequencers) recreates Web2 rent-seeking, not decentralized infrastructure.

  • Governance Risk: Centralized entities control fee switches and upgrades.
  • Community Alienation: Leads to forks and ecosystem fragmentation.
  • Missed Opportunity: Fails to credibly decentralize and secure the network long-term.
>60%
Treasury Control
1
Single Sequencer
future-outlook
THE VALUE FLOW

The 2024 Outlook: Airdrops Become Recursive

Airdrop mechanics will evolve from simple user acquisition to a recursive system that rewards the infrastructure underpinning the transaction.

Airdrops reward the stack. The next generation of token distributions will not just reward end-users. Protocols will retroactively airdrop to the infrastructure layers they used to bootstrap, like the EigenLayer AVS that secured them or the Celestia rollup that provided data availability.

Value capture becomes recursive. This creates a positive feedback loop. An app's success increases the value of its underlying infrastructure's token, which incentivizes more developers to build on that stack to earn its future airdrop, creating a self-reinforcing flywheel.

The evidence is in the mempool. Projects like Dymension, which airdropped to Celestia stakers and rollup users, and EigenLayer, where AVS operators earn restaked ETH yield plus native tokens, prove this model works. The airdropee becomes the airdropper.

takeaways
THE FUTURE OF VALUE CAPTURE

TL;DR for Busy Builders

Infrastructure is the backbone of crypto, but its builders are often the last to be paid. Here's how the next wave of protocols is flipping the script.

01

The MEV Supply Chain is the New Fee Market

Block builders and searchers capture billions in MEV, while the underlying data and execution layers get scraps. The solution is to bake infrastructure rewards directly into the transaction flow.\n- Protocols like Flashbots SUAVE aim to democratize access and redistribute value.\n- Shared sequencers (e.g., Espresso, Astria) turn block space into a revenue-shared commodity.\n- The goal: shift value from pure extractors to essential providers of ordering and data.

$1B+
Annual MEV
~0%
To Infra (Today)
02

Intent-Based Architectures = Built-In Tipping

Users express a desired outcome ("swap X for Y"), not a transaction. This creates a natural auction for solvers (like UniswapX, CowSwap) to compete on.\n- Infrastructure becomes a bidder, paying users for the right to fulfill their intent.\n- Protocols like Across use a solver network where relayers are compensated via a native token model.\n- Value flows to the most efficient resolver of user needs, not just the base chain.

>70%
Fill Rate
-20%
Avg. Cost
03

Modular Stacks Demand Modular Revenue

Monolithic chains capture all fees. In a modular world (Celestia, EigenDA, Arbitrum), each layer (DA, execution, settlement) must capture value independently or perish.\n- Data Availability layers monetize via blob fees and potential token incentives.\n- Shared sequencers take a cut of transaction ordering revenue.\n- The result is a fee waterfall where value is distributed across specialized providers.

10-100x
Cheaper DA
Multi-Chain
Revenue Streams
04

From Gas to Governance: Fee Switches & Tokenomics 2.0

Protocols are moving beyond simple transaction fees to sophisticated value capture tied to usage.\n- Fee switches (like Uniswap's) direct a percentage of swap fees to treasury/stakers.\n- EigenLayer's restaking allows ETH stakers to secure new services and earn additional yield.\n- The infrastructure layer's token becomes a claim on the utility it provides, not just governance.

$10B+
TVL in Restaking
0.05-0.25%
Fee Switch Rate
05

Interoperability as a Premium Service

Bridging and messaging (LayerZero, Axelar, Wormhole) are critical infrastructure but have struggled with sustainable models beyond token incentives.\n- Native gas payments (e.g., paying for destination chain fees in source chain tokens) create a clean service fee.\n- Proof networks (like LayerZero's Decentralized Verification) can charge for attestations.\n- Value capture shifts from speculative tokenomics to fee-for-security.

$5B+
Bridged Daily
1-5 bps
Service Fee
06

The Verifier's Dilemma & Prover Markets

ZK-Rollups need provers, but who pays for the massive compute? The current model is unsustainable.\n- Emerging prover markets (e.g., RiscZero, Succinct) let anyone run a prover and earn fees.\n- Proof aggregation services (like =nil; Foundation) batch proofs for cost efficiency, capturing value from scale.\n- The winning infrastructure will be the one that makes verification a profitable, decentralized business.

~500ms
Proof Time
-90%
Cost Target
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Retroactive Funding: How L2s Must Pay Their L1 Dues | ChainScore Blog