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layer-2-wars-arbitrum-optimism-base-and-beyond
Blog

Custom AA Schemas as a B2B L2 Product

The L2 wars are shifting from user acquisition to enterprise monetization. This analysis argues that the highest-margin revenue stream for Layer 2s will be selling custom Account Abstraction schemas as a managed service to businesses for payroll, compliance, and complex multi-signature operations.

introduction
THE PRODUCT

Introduction

Custom Account Abstraction schemas are a B2B product for L2s to capture developer mindshare and transaction volume.

Custom AA Schemas are a wedge product. They allow L2s like Arbitrum or Optimism to offer developers a differentiated user experience that generic EVM chains cannot. This is a direct monetization strategy for transaction flow.

The market is moving beyond EIP-4337. The standard provides a base layer, but protocol-specific intents require custom validation logic. Chains that offer this as a service, like Starknet with its native account model, capture more complex applications.

This creates a B2B moat. A chain that becomes the default home for a schema—be it for gaming, DeFi, or social—locks in the application and its users. It is a more defensible strategy than competing solely on cheaper gas.

thesis-statement
THE PRODUCT PIVOT

The Core Thesis: From Commodity to Customization

The strategic value of an L2 shifts from raw throughput to offering bespoke account abstraction schemas as a B2B product.

General-purpose L2s are commodities. The market for high-throughput, EVM-compatible execution layers is saturated, with Arbitrum, Optimism, and zkSync competing on marginal cost and speed. This race to the bottom destroys margins and fails to capture unique value.

Custom AA schemas are the product. An L2 can differentiate by selling tailored account abstraction frameworks to protocols, enabling use-cases like gas sponsorship, batched social logins, or complex multi-sig flows that generic EVM cannot support natively.

This creates protocol lock-in. A dApp built on a custom AA schema becomes architecturally dependent on that L2's smart account infrastructure, creating a stickier relationship than mere liquidity incentives. This is the B2B SaaS model for blockchains.

Evidence: Starknet's native account abstraction and zkSync's paymaster system demonstrate early demand, but they are one-size-fits-all. The next wave is protocol-specific schemas, akin to how Shopify provides custom storefronts while AWS provides generic servers.

CUSTOM SCHEMA STRATEGIES

The B2B AA Product Matrix: A Comparative View

Comparing how leading L2s and SDKs package Account Abstraction infrastructure for enterprise adoption.

Feature / MetricStarknet (Native AA)Arbitrum (via Thirdweb)Polygon (via Alchemy)Base (via Safe{Core})

Native Protocol Sponsorship

Gas Fee Sponsorship Model

Paymaster (STRK)

ERC-20 or Credit System

ERC-20 or Flat Fee

ERC-20 or Flat Fee

Custom Opcode Support

Cairo-native __execute__

Solidity via Bundler

Solidity via Bundler

Solidity via Bundler

Bundler Integration

Native RPC Endpoint

Thirdweb Engine

Alchemy's rundler

Safe{Core} Protocol Kit

Session Key Granularity

Contract-defined logic

Time/Value limits

Pre-signed policy rules

Safe{Core} Modules

Avg. UserOp Confirmation

< 2 sec

< 5 sec

< 3 sec

< 4 sec

B2B Pricing Model

Protocol Staking

Per-transaction fee

Tiered API subscription

Module licensing + gas

Formal Verification Tooling

Cairo & Sierra

Audits (Third-party)

Audits (Third-party)

Safe formal spec

deep-dive
THE PRODUCT

The Product Blueprint: Anatomy of a Custom AA Schema

Custom AA Schemas are a B2B product for L2s, enabling them to monetize unique user experience and security models.

A schema is a product. It defines the validation rules and fee logic for a set of smart accounts, creating a monetizable business layer for the L2. This transforms the L2's AA framework from a cost center into a revenue stream.

The core components are modular. A schema specifies the signature verification logic, gas abstraction policy, and sponsorship rules. This allows L2s to embed native features like session keys or social recovery, differentiating from generic solutions like Safe{Core}.

Customization drives lock-in. A bespoke user experience, such as one-click batch transactions or subsidized gas for specific dApps, creates a sticky ecosystem. This is a defensible moat versus commoditized, chain-agnostic account standards.

Evidence: Starknet's native account abstraction demonstrates this, where its custom Cairo-based validation is a core feature, not an afterthought. Similarly, a schema could enforce zk-proof verification for institutional compliance, a feature generic EVM AA cannot offer.

case-study
CUSTOM AA SCHEMAS AS A B2B L2 PRODUCT

High-Value Use Cases: The Revenue Targets

Abstracting wallet complexity into a sellable infrastructure layer for protocols and enterprises.

01

The Onboarding Bottleneck for GameFi & SocialFi

User acquisition costs are astronomical when players must manage seed phrases and gas. A custom AA schema acts as a white-label wallet SDK.

  • Session keys enable frictionless, gasless gameplay with ~500ms transaction latency.
  • Sponsored transactions shift gas cost to the studio, converting a 30% drop-off rate into a conversion funnel.
  • Modular recovery via social logins or embedded custodians eliminates support tickets.
30%
Higher Retention
$0
User Gas Cost
02

The Institutional DeFi Compliance Firewall

TradFi entities cannot use EOAs due to lack of internal controls and audit trails. A bespoke AA schema enforces policy on-chain.

  • Multi-signature smart wallets with role-based permissions (e.g., trader, approver, auditor).
  • Transaction mempool privacy via private RPCs and bundlers to prevent MEV front-running.
  • Automated compliance logging for every action, creating an immutable record for regulators.
100%
Action Audit
0
Policy Violations
03

The Cross-Chain Aggregator's Liquidity Moat

Aggregators like UniswapX and CowSwap rely on fillers. A custom AA schema lets them become the filler, capturing MEV and fees.

  • Intent-based order flow is routed to the aggregator's own solver network first.
  • Atomic cross-chain swaps via LayerZero or Axelar are abstracted into a single user signature.
  • Guaranteed execution with fee subsidization builds a $10B+ TVL captive liquidity pool.
15-30 bps
Fee Capture
1-Click
Cross-Chain
04

The Enterprise SaaS Subscription Model

Businesses need predictable blockchain costs, not volatile gas. A custom AA schema enables a fixed-fee, usage-tiered SaaS product.

  • Gas abstraction layer bills in stable fiat, with the L2 provider managing ETH volatility risk.
  • Whitelabel admin dashboards for managing employee wallets, allowances, and transaction limits.
  • Automated payroll & treasury management via scheduled batched transactions, reducing operational overhead by ~70%.
$999/mo
Predictable Cost
-70%
Ops Overhead
05

The NFT Marketplace's Royalty Enforcement Engine

Royalties are broken on many chains due to EOA transfers. A custom AA schema makes royalty payment a pre-condition of the transaction.

  • Programmable transfer logic in the account contract blocks sales on non-compliant marketplaces.
  • Dynamic fee sponsorship where the marketplace pays gas if the user agrees to enforce royalties.
  • Creator analytics dashboard built directly into the wallet interface, increasing platform stickiness.
100%
Royalty Compliance
2-5x
Creator Loyalty
06

The High-Frequency Trader's Co-Processor

DEX arbitrage and liquidations are latency games. A custom AA schema moves logic from off-chain bots to the account contract itself.

  • Pre-signed conditional transactions execute in <100ms when an on-chain oracle trigger is met.
  • Batch atomic arbitrage across 5+ pools in a single bundle, maximizing capital efficiency.
  • Nonce management abstraction eliminates failed transactions from bot congestion, increasing successful arb rate by ~40%.
<100ms
Execution Speed
+40%
Arb Success
counter-argument
THE INFRASTRUCTURE TRAP

The Refutation: "Enterprises Will Just Deploy Their Own"

Custom L2 deployment is a resource-intensive distraction from core business logic.

Deploying a custom L2 is not a core competency. It requires deep expertise in rollup sequencer design, data availability (DA) procurement, and bridging security. This deviates from building the actual application.

The operational overhead is prohibitive. Teams must manage validator sets, upgrade mechanisms, and cross-chain liquidity. This is a full-time infrastructure team, not a feature.

Evidence: Major chains like Arbitrum and Optimism have dedicated core dev teams of 50+ engineers. A single enterprise cannot replicate this operational security or liquidity depth.

The product is the schema. A B2B AA product provides a customizable account abstraction standard as a service. Enterprises configure logic; the platform handles the L2's complex state transitions and interoperability.

risk-analysis
EXECUTION RISKS

The Bear Case: What Could Derail This?

Custom AA schemas are a powerful B2B wedge, but these are the critical failure modes.

01

The Wallet Integration Wall

Every new AA schema fragments wallet compatibility. If MetaMask, Rainbow, and Trust Wallet don't natively support your client's custom account logic, user onboarding fails. The solution requires deep SDK work and relentless wallet team lobbying, a non-trivial ops burden.

  • Fragmented UX: Users face incompatible wallets.
  • SDK Burden: Must maintain forks for each major wallet provider.
  • Network Effect Lock-In: Established AA standards (like ERC-4337) have inherent advantage.
~6-12 months
Integration Lag
Top 5 Wallets
Critical Mass
02

Security Audit Overhead Spiral

Each custom schema is a new smart contract system requiring a full security audit. For a B2B product serving multiple clients, this creates a scaling nightmare and concentrated liability.

  • Cost Proliferation: Each audit costs $50k-$200k+, eroding margins.
  • Liability Concentration: A bug in one client's schema can tarnish the entire platform's reputation.
  • Time-to-Market Drag: Sequential audits create 3-6 month delays for new features.
$50k-$200k
Per Audit
3-6 Months
Delay Per Client
03

Commoditization by L2 Native AA

Why buy a custom schema when your L2 stack (OP Stack, Arbitrum Orbit, zkSync Hyperchains) bakes in powerful, generic AA for free? The value prop shrinks if the base layer offers 'good enough' programmable accounts.

  • Feature Parity: L2s are rapidly integrating ERC-4337 and native account abstraction.
  • Vendor Lock-In Fear: Clients may prefer to stay within their L2's ecosystem.
  • Pricing Pressure: Product becomes a feature, not a platform, capping revenue.
ERC-4337
Default Standard
Major L2s
Competing
04

The Interoperability Trap

A hyper-optimized schema for one chain (e.g., a gaming L3) becomes a liability for cross-chain operations. It breaks compatibility with intents infrastructure like UniswapX, Across, and LayerZero, forcing painful workarounds.

  • Broken Intents: Custom accounts can't leverage UniswapX's fillers or CowSwap solvers.
  • Bridge Incompatibility: Most bridges assume standard EOA or 4337 account models.
  • Fragmented Liquidity: Users are siloed on their home chain.
Key Protocols
UniswapX, Across
High
Integration Cost
05

Enterprise Sales Cycle vs. Crypto Speed

Selling to large web2 enterprises (the ideal B2B client) involves 12-24 month procurement cycles, legal review, and compliance checks. This clashes with crypto's agile, ship-fast culture and burn rate realities.

  • Capital Intensive: Sales require large upfront investment with delayed payoff.
  • Cultural Mismatch: Enterprise risk aversion vs. crypto's permissionless ethos.
  • Pivot Risk: Startups may run out of runway before closing major deals.
12-24 Months
Sales Cycle
High Burn
Runway Risk
06

The Modular Stack Complexity

Custom AA sits atop a fragile stack: the L2, its sequencer, data availability layer, and proving system. An outage or exploit in any underlying component (e.g., Celestia downtime, EigenLayer slashing) dooms the custom schema's UX, creating a support black hole.

  • Dependency Hell: Reliability is only as strong as the weakest modular link.
  • Blame Assignment: Clients blame you for infra failures outside your control.
  • Ops Overhead: Requires monitoring multiple external systems 24/7.
4+ Layers
Stack Depth
24/7
Monitoring Needed
future-outlook
THE B2B BATTLEGROUND

The 2025 Outlook: Protocol vs. Aggregator War

Layer 2s will commoditize execution and monetize custom account abstraction schemas as a core B2B product.

Custom AA Schemas are the Product. L2s will differentiate by selling bespoke account abstraction logic, not raw throughput. This transforms the L2 from a commodity chain into a protocol-specific operating system.

Aggregators commoditize, protocols integrate. Aggregators like UniswapX and 1inch Fusion abstract gas and intent execution. In response, protocols will embed this logic directly via L2-native AA schemas, capturing value and user flow.

The SDK is the moat. Winning L2s will provide developer SDKs for AA, similar to Starknet's Account Abstraction model. This allows dApps to deploy custom paymasters, session keys, and batched transactions as a service.

Evidence: The B2B pivot is underway. Polygon's AggLayer and Arbitrum's Stylus are frameworks for custom execution environments. The next step is packaging these as white-label AA solutions for enterprise and gaming protocols.

takeaways
CUSTOM AA SCHEMAS AS A B2B L2 PRODUCT

Key Takeaways for Builders and Investors

Abstracting gas and key management is table stakes. The next L2 moat is selling bespoke account logic to enterprise clients.

01

The Problem: Generic AA is a Commodity

Every L2 has a native AA system, creating a race to the bottom on user experience. The real value is in vertical-specific logic that generic SDKs can't provide.\n- Market Gap: No out-of-the-box support for corporate treasury policies or game-specific session keys.\n- Integration Burden: Enterprises must build custom modules from scratch, negating L2's speed-to-market advantage.

100+
Generic SDKs
0
Vertical Kits
02

The Solution: Sell the Schema, Not the Gas

Monetize by licensing pre-audited, configurable account blueprints tailored to industry needs, turning AA from a cost center into a high-margin product.\n- Revenue Model: Recurring license fee + % of managed assets/volume, moving beyond pure transaction fee revenue.\n- Defensibility: Client-specific logic creates vendor lock-in; migrating means rewriting core business logic.

30-70%
Gross Margin
10x
ARPU vs. Gas
03

Case Study: The Game Publisher Bundle

A schema enforcing batched settlements, sponsored transactions for players, and non-custodial item escrow. This mirrors solutions from Immutable and Ronin but as a service.\n- Key Metric: Enables true free-to-play onboarding by abstracting gas.\n- Competitive Edge: Faster iteration than building in-house; integrates with existing game engines like Unity via Pimlico-like bundler services.

~500ms
Session Auth
$0
Player Gas Cost
04

The Investor Lens: Protocol vs. Product Valuation

Investors must differentiate L2s that are pure infrastructure (high TVL, low margin) from those with a B2B software layer (recurring, high-margin revenue).\n- Due Diligence: Scrutinize the client pipeline for schema deals, not just DeFi TVL.\n- Comparable: Model after Alchemy's enterprise sales, not just Arbitrum's sequencer fees.

5-10x
Revenue Multiple
B2B
Moats
05

Technical Hurdle: Upgradability & Audit Trail

Selling critical business logic requires enterprise-grade security and governance. A single exploit in a licensed schema destroys the product.\n- Requirement: Must implement EIP-6900-style modularity with clear permissioned upgrade paths.\n- Non-Negotiable: Every schema variant needs a separate, verifiable audit trail, a process perfected by firms like Trail of Bits.

100%
Audit Coverage
Multi-sig
Upgrade Control
06

Market Timing: The 2025 Enterprise Onboarding Wave

Major brands are moving beyond pilots to production. They need turnkey solutions, not research projects. This is the AWS moment for L2s.\n- Catalyst: Real-world asset (RWA) tokenization and loyalty programs demand custom compliance rules.\n- Strategic Move: L2s that build a sales team for schemas will capture the next $10B+ in institutional TVL.

2025
Inflection Point
$10B+
Target TVL
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Protocols Shipped
$20M+
TVL Overall
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Custom AA Schemas: The B2B Revenue Engine for L2s | ChainScore Blog