Security is a user choice in volition models like those from StarkWare and zkSync. Users select data availability between the high-security L1 (Ethereum) and a lower-cost, lower-security L2. This optionality directly contradicts the ZK-rollup security guarantee, which is predicated on universal L1 data availability for fraud proofs.
The Volition Model Exposes a Core ZK-Rollup Contradiction
Offering users a choice between L1 and off-chain data availability reveals that 'ZK-Rollup security' is often a subsidized marketing feature, not an architectural guarantee. This analysis deconstructs the economic and security trade-offs for builders.
The Security Menu: A Contrarian Hook
Volition models expose a core contradiction in ZK-rollup security marketing by forcing users to choose between cost and safety.
The performance trade-off is explicit. Posting data to Ethereum (calldata) is expensive but secure. Posting data off-chain (e.g., to a Data Availability Committee or Validium) is cheap but introduces trusted third-party risk. This creates a two-tiered system where security is no longer a protocol constant but a variable.
This model commoditizes security. Protocols like ImmutableX and Sorare use Validium for cost-effective NFTs, accepting the risk. This proves that for many applications, absolute decentralization is not the primary constraint; cost and user experience are. The rollup's security promise becomes a menu item, not the default.
Executive Summary: Three Contradictions for CTOs
Volitions, popularized by StarkWare, expose a core design contradiction in ZK-Rollups by forcing users to choose between security and cost.
The Sovereignty Contradiction
ZK-Rollups promise sovereignty through cryptographic security, but volitions force a trade-off. Users must pre-select data availability (DA) for each transaction, fragmenting the security model.
- Key Flaw: Security is no longer a protocol guarantee but a per-transaction user decision.
- Result: Creates systemic risk where users can be tricked into opting for cheaper, less secure options.
The Cost-Security Nexus
The volition model directly links cost to security tier, creating perverse incentives. Publishing data to Ethereum (L1) is secure but costs ~$0.50-$5 per tx. Using a Data Availability Committee (DAC) or Celestia cuts cost by ~90% but introduces trust assumptions.
- Real Consequence: Protocols like dYdX v4 must enforce L1 DA for perps, while social apps default to cheap DACs.
- Fragmentation: A single chain hosts assets with fundamentally different security properties.
The UX Friction Multiplier
Volitions destroy the abstraction of a seamless chain. Every wallet and dApp must now educate users on DA choices for every transaction type, creating massive UX debt.
- Adoption Tax: New users are confronted with cryptographic decisions before their first swap.
- Composability Break: Smart contracts must be aware of and handle multiple DA states, increasing complexity and audit surface.
- Comparison: Contrast with monolithic chains like Solana or even optimistic rollups like Arbitrum, which present a unified security model.
Core Argument: The Validity Proof is Not Enough
The volition model exposes a fundamental contradiction in ZK-rollup design by decoupling data availability from execution, revealing that the validity proof alone is insufficient for security.
Validity proofs guarantee execution but not data recovery. A ZK-rollup's state transition is cryptographically verified, yet the proof is useless without the underlying transaction data to reconstruct the state. This creates a critical dependency on an external data availability layer.
Volitions like StarkEx formalize this split, offering users a choice between on-chain (Ethereum) and off-chain (e.g., Celestia, EigenDA) data posting. This choice trades off security for cost, proving that the core ZK security promise is conditional on a separate data guarantee.
The contradiction is operational: a system marketed for its cryptographic security inherently relies on a non-cryptographic, economic assumption for data availability. This mirrors the security model of optimistic rollups, blurring the ZK purity argument.
Evidence: StarkWare's StarkEx has processed over $1T in volume using its volition framework, demonstrating that users and applications actively choose cheaper, riskier data availability options, validating the market's price sensitivity over absolute security.
Security-Cost Spectrum: The Volition Trade-off Matrix
Compares the core trade-offs between Data Availability (DA) modes in ZK-Rollups, exposing the contradiction between absolute security and scalable cost.
| Feature / Metric | On-Chain Data (ZK-Rollup) | Off-Chain Data (Validium) | Volition (User-Choice) |
|---|---|---|---|
Data Availability Layer | Ethereum L1 | External DAC / Alt-DA (e.g., Celestia, EigenDA) | User-selectable per transaction |
Security Guarantee | Censorship & Data Withholding Resistance | Trust in DAC Operators (3-7 of N honest) | Bimodal: Inherits choice's security model |
Cost per Transaction (Gas) | $2 - $10 (L1 calldata) | $0.01 - $0.10 (Alt-DA posting) | $2 - $10 (On-Chain) OR $0.01 - $0.10 (Off-Chain) |
Throughput Limit (TPS) | ~100-300 (L1 calldata bottleneck) | ~10,000+ (Alt-DA scalable) | Bimodal: Bound by chosen DA layer |
Withdrawal Safety Period | ~1-4 hours (ZK proof + challenge window) | ~1-4 hours (ZK proof) + DAC trust assumption | Inherits from chosen DA mode |
Censorship Resistance | Full (via L1 force-inclusion) | Partial (requires honest DAC majority) | Conditional on user's DA choice |
Key Dependency | Ethereum's Consensus & Data Availability | Data Availability Committee (DAC) honesty | ZK-Rollup State Validity + Chosen DA Provider |
Example Implementation | zkSync Era, Scroll | StarkEx (Default), Immutable zkEVM | StarkEx (Volition Mode), Aztec (optional privacy) |
Deconstructing the Subsidy: From StarkEx to the Superchain
The volition model exposes a core economic contradiction in ZK-rollups, forcing a choice between subsidized security and sustainable revenue.
Volition is a tax dodge. StarkEx's Data Availability (DA) choice model lets users opt for cheaper, off-chain data storage. This exposes the ZK-rollup's core subsidy: the L1 is a costly security backstop that rollups must pay for but users can avoid.
The subsidy is unsustainable. Protocols like dYdX migrated from StarkEx to a Cosmos app-chain to capture full sequencer revenue. This proves that profitable apps reject subsidizing others when they can control their own chain economics.
Superchains are the logical conclusion. Optimism's OP Stack and Arbitrum Orbit create a franchised L2 model where chains share security but keep sequencer profits. This resolves the contradiction by monetizing the security layer directly, turning the L1 into a paid service.
Evidence: StarkEx processes ~10M transactions monthly, but its revenue is capped by user DA choices. In contrast, a dedicated app-chain like dYdX captures 100% of its ~$1M monthly sequencer fees, demonstrating the economic imperative.
Case Studies in Contradiction
The promise of ZK-Rollups is compromised by a fundamental trade-off: data availability. Volitions expose this by making the choice explicit.
The Problem: Validium's Security Contradiction
A ZK-Rollup that uses an external Data Availability Committee (DAC) forfeits its core security guarantee. Users trade sovereign security for scalability, trusting a small group not to freeze or censor assets. This is the Validium compromise.
- Security Model: Trusted committee, not Ethereum.
- Failure Mode: Funds can be frozen if the DAC colludes or fails.
- Example: StarkEx's default mode for dYdX and Sorare.
The Solution: zkRollup Mode's Cost Contradiction
Posting all transaction data to Ethereum L1 provides crypto-economic security but reintroduces the scalability bottleneck. The cost of ~16-32 bytes of calldata per transaction remains the primary constraint, contradicting the 'infinite scaling' narrative.
- Security Model: Inherited from Ethereum L1.
- Failure Mode: High, volatile fees during network congestion.
- Example: zkSync Era's secure but expensive on-chain data.
The Hybrid: Volition's User Contradiction
StarkWare's Volition and Aztec's architecture force per-transaction, user-level choice between security and cost. This creates a terrible UX and fragments liquidity, as protocols must deploy to both data availability layers. The core contradiction is outsourced to the end-user.
- UX Burden: Non-custodial users must understand cryptographic trade-offs.
- Protocol Fragmentation: Single app needs dual-state management.
- Leading Example: StarkWare's Volition model for perpetuals.
The Endgame: EigenDA & Celestia
The contradiction is being externalized to modular data availability layers. These networks like EigenDA (EigenLayer) and Celestia offer a weaker security guarantee than Ethereum but stronger than a DAC, creating a new spectrum of trust. The rollup's security is now a function of its DA layer's economic security.
- New Model: Security as a purchasable commodity.
- Trade-off: Cost vs. decentralized security slashing.
- Adopters: Arbitrum Orbit chains, Eclipse, Manta Pacific.
Steelman: Isn't This Just Efficient Market Design?
The Volition model reveals a fundamental economic misalignment between ZK-Rollup security and user demand for cost-effective data availability.
ZK-Rollups have a cost disease. Their security model mandates publishing all transaction data on-chain, forcing users to pay for a premium resource they often don't need. This creates a contradiction between security and efficiency.
Volitions are a market solution. They let users choose between secure on-chain data and cheaper off-chain alternatives like Celestia or EigenDA. This exposes the rollup's core service as a bundled product that users unbundle.
The market votes with its wallet. If most users opt for off-chain data, the rollup's security budget collapses. This proves the bundled model was inefficient, subsidizing security with overcharged fees.
Evidence: StarkEx's adoption. Platforms like dYdX and Sorare use StarkEx's Volition option, demonstrating clear demand for cost-tiered data availability, validating the market design critique.
TL;DR for Architects and Investors
Volition models, popularized by StarkWare, force a choice between data availability layers, exposing a fundamental trade-off that ZK-rollups have tried to obscure.
The Problem: The Data Availability Trilemma
ZK-rollups promise security, scalability, and low cost, but their security model is a lie without guaranteed data availability. Volitions make this explicit: you must choose between Ethereum-caliber security (expensive) or validium-style scaling (trusted).
- Security vs. Cost: On-chain DA anchors security to L1, but costs ~$0.10-$0.50 per tx.
- Scaling vs. Trust: Off-chain DA (e.g., StarkEx) reduces cost to ~$0.01 but introduces a data availability committee as a new trust assumption.
The Solution: Hybrid, Per-Transaction Choice
StarkWare's Volition and zkSync's Boojum let users/apps choose DA per transaction. This is not a technical fix but a market solution, exposing cost/security preferences directly.
- For DeFi: High-value swaps default to on-chain DA, paying for L1 security.
- For Gaming & Social: Micro-transactions use off-chain DA, accepting trust for ~90% lower fees. This creates a fragmented security landscape within a single app.
The Contradiction: ZK-Rollups Are Not Sovereign
The need for a Volition choice proves ZK-rollups are not truly self-contained scaling solutions. Their security is still parasitic on an external DA layer—either Ethereum or a permissioned committee.
- Architectural Debt: This reveals the core rollup thesis is incomplete; EigenDA, Celestia, and Avail are bets that a cheaper, dedicated DA layer can replace L1 without breaking security.
- Investor Takeaway: The real value accrual shifts from the execution layer (rollup) to the chosen DA layer, questioning long-term rollup valuation models.
The Future: Modular vs. Monolithic Stacks
Volitions are a symptom of the modular blockchain thesis. The endgame isn't a single optimal choice, but a competitive market for DA, settlement, and execution.
- Monolithic Chains (Solana, Monad): Reject this complexity, betting on singular, optimized layers. Their scaling argument bypasses the DA problem entirely.
- Modular Stacks (Rollups + EigenDA): Embrace specialization, creating a more complex but potentially more efficient and competitive landscape. The winning stack is not yet determined.
Get In Touch
today.
Our experts will offer a free quote and a 30min call to discuss your project.