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Glossary

Validium

A Layer 2 scaling architecture that uses zero-knowledge proofs for execution verification but stores transaction data off-chain, relying on an external committee or network for data availability.
Chainscore © 2026
definition
SCALING SOLUTION

What is Validium?

A Layer 2 scaling solution that uses zero-knowledge proofs for transaction verification while storing data off-chain.

A Validium is a type of Layer 2 (L2) scaling solution for blockchains like Ethereum that enhances throughput by processing transactions off-chain and using zero-knowledge proofs (ZK-proofs) for validity, but stores its data availability off-chain with a separate committee or proof-of-stake system. This architecture is a specific implementation of a ZK-Rollup, distinguished primarily by its data storage model. By keeping data off the main chain (off-chain data availability), Validiums achieve significantly higher transaction throughput and lower fees than their on-chain data counterparts, but they introduce a different trust assumption regarding data accessibility.

The core mechanism involves an operator (or a set of operators) who batches transactions, generates a cryptographic proof of their correctness—typically a ZK-SNARK or ZK-STARK—and posts only this succinct proof to the underlying Layer 1 (L1) blockchain. The actual transaction data is held off-chain by a Data Availability Committee (DAC) or a similar network of attestors. Users must trust that this committee will remain honest and available to provide the data if needed for fraud proofs or to reconstruct the chain state. This trade-off sacrifices the robust censorship resistance and security guarantees of pure on-chain data for superior scalability.

Key technical components include the validity proof, which cryptographically ensures all state transitions are correct, and the data availability layer, which is the system's most critical vulnerability point. If the committee becomes malicious or unavailable, users may be unable to withdraw their assets, though the chain cannot validate invalid states due to the proofs. This makes Validium ideal for high-throughput, low-cost applications where absolute decentralization is secondary, such as high-frequency trading, certain gaming ecosystems, or private enterprise chains. Prominent examples include StarkEx in Validium mode (powering dYdX v3 and Immutable X) and zkPorter, part of the zkSync ecosystem.

When comparing Validium to Optimistic Rollups and ZK-Rollups, the primary differentiator is data handling. Optimistic Rollups post all data on-chain but have a long challenge period; ZK-Rollups post both proofs and data on-chain, offering strong security with moderate scaling. Validiums offer the highest potential scalability by removing the data bottleneck entirely but require trust in external data providers. The choice between these solutions involves a direct trade-off between security, decentralization, and scalability, often referred to in blockchain design.

The future evolution of Validium is closely tied to advancements in Ethereum data availability solutions like EIP-4844 (proto-danksharding) and full danksharding. These upgrades aim to provide cheap, abundant data availability on Ethereum itself, potentially leading to hybrid models like Volition, where users can choose on a per-transaction basis whether their data is stored on-chain (as a rollup) or off-chain (as a Validium). This flexibility could allow applications to optimize for cost or security as needed, making the Validium data model a versatile component in the modular blockchain stack.

how-it-works
SCALING MECHANISM

How Validium Works

Validium is a Layer 2 scaling solution that processes transactions off-chain while securing data availability through a committee of trusted parties, offering high throughput and low fees.

A Validium is a type of zero-knowledge rollup (ZK-rollup) that executes transactions off the main Ethereum chain (Layer 1) but differs from its cousin, zkRollup, in its approach to data availability. Instead of posting all transaction data as calldata on Layer 1, a Validium posts only a cryptographic proof—a ZK-SNARK or ZK-STARK—to finalize state changes. The underlying transaction data is stored and made available by an external committee of data availability managers or a proof-of-stake network. This separation of proof posting and data storage is the core architectural distinction that enables its performance characteristics.

The security model hinges on the data availability committee (DAC). This set of known, reputable entities is responsible for holding the data and attesting to its availability. Users can withdraw their assets at any time by submitting a fraud proof or a validity proof directly to the Layer 1 contract. However, if the committee acts maliciously and withholds data, it can potentially freeze funds, though not steal them outright, as the ZK-proofs ensure state validity. Some implementations use cryptographic techniques like proof-of-custody to penalize committee members for misbehavior, enhancing decentralization over time.

This architecture results in significant advantages: transaction throughput is extremely high because data is not bottlenecked by Layer 1 gas costs, and fees remain very low. It is particularly suited for high-frequency trading, gaming, and enterprise applications where cost and speed are paramount and where the trust assumptions of the DAC are acceptable. Prominent examples include StarkEx's Validium mode (powering dYdX v3 and Immutable X) and zkPorter, a hybrid model from Matter Labs. The primary trade-off is the reduced censorship-resistance compared to pure zkRollups, as users must trust the DAC for data availability.

key-features
ARCHITECTURE

Key Features of Validium

Validium is a Layer 2 scaling solution that processes transactions off-chain while using zero-knowledge proofs for data integrity, but stores only cryptographic proofs on-chain, not the full transaction data.

01

Off-Chain Data Availability

Unlike rollups, Validium does not post transaction data to the main Ethereum chain. Instead, data is stored off-chain by a committee of Data Availability Managers (DAMs) or a decentralized network. This enables extremely high throughput and low fees but introduces a data availability risk—if the committee is malicious and withholds data, user funds can be frozen.

02

Zero-Knowledge Proofs (ZKPs)

The core security mechanism. A ZK-SNARK or ZK-STARK proof is generated for each batch of off-chain transactions. This cryptographic proof, which is small and cheap to verify, is posted to the main chain (L1) to guarantee the validity of all state transitions. This ensures funds cannot be double-spent or created fraudulently, even though the data is off-chain.

03

High Throughput & Low Fees

By moving both computation and data storage off-chain, Validium achieves significant scalability. Transaction capacity is limited only by the off-chain prover's capability, not by L1 block space. This results in:

  • High TPS: Capable of processing thousands of transactions per second.
  • Minimal Fees: Users pay only for proof verification on L1, not for data storage, making micro-transactions viable.
04

Withdrawal Security & Forced Exit

Users can always withdraw assets back to L1 via a forced exit or escape hatch mechanism. To do this, a user submits a Merkle proof of their funds directly to the L1 contract. However, this process requires the user to possess the latest state root and their Merkle proof, which relies on data availability. If data is withheld, withdrawals can be delayed until the data is recovered.

05

Data Availability Committees (DACs)

A common model where a known, permissioned set of entities acts as Data Availability Managers. They cryptographically sign attestations that the data is available. Users must trust that a majority of the committee is honest. More decentralized alternatives exist, such as validiums with EigenDA or other decentralized data availability layers, which reduce this trust assumption.

06

Use Cases & Trade-offs

Ideal for applications prioritizing low cost and high speed where total value at risk is manageable. Common use cases include high-frequency trading, gaming, and micro-payments. The key trade-off is security for scalability: it sacrifices the robust data availability guarantee of rollups for greater performance. It is less suitable for storing extremely high-value assets without additional insurance mechanisms.

SCALING SOLUTION COMPARISON

Validium vs. ZK-Rollup: Key Differences

A technical comparison of two prominent zero-knowledge-based Layer 2 scaling architectures, focusing on their core data availability mechanisms and resulting trade-offs.

FeatureValidiumZK-Rollup

Data Availability

Off-chain (Data Availability Committee or DAC)

On-chain (Ethereum calldata)

Data Security Model

Cryptoeconomic + Committee Honesty

Cryptoeconomic + Ethereum Consensus

Withdrawal Security

Fraud Proofs (for data withholding)

Validity Proofs (ZK-SNARK/STARK)

Throughput (TPS)

~10,000+

~2,000

Transaction Cost

$0.01 - $0.10

$0.10 - $1.00

Censorship Resistance

Lower (DAC-dependent)

Higher (Inherits from L1)

Capital Efficiency

Higher (No L1 data fees)

Lower (Pays for L1 data)

Trust Assumptions

1/N Committee Honesty

Only Cryptographic Security

examples
ARCHITECTURE

Validium Implementations & Examples

Validium is a Layer 2 scaling solution that uses Zero-Knowledge Proofs (ZKPs) for validity but keeps data off-chain, relying on a separate data availability committee. This section details prominent implementations and their key characteristics.

03

Data Availability Committee (DAC)

A core component of most Validium designs, a DAC is a set of trusted, known entities that sign off on the availability of transaction data.

  • Role: They store data off-chain and provide attestations that the data is available for download and reconstruction.
  • Security Model: Users must trust that a majority of the committee members are honest and will not collude to withhold data. This is the primary trust assumption differentiating Validium from rollups.
04

Volition (Hybrid Model)

An architecture, popularized by StarkWare, that gives users or applications a choice per transaction between Validium and ZK-Rollup data availability modes.

  • Mechanism: For high-value transactions, users can opt to pay more to post data on-chain (Rollup mode). For low-cost, high-frequency trades, they can use the cheaper Validium mode.
  • Benefit: Provides a flexible security-cost spectrum, allowing users to manage their own risk preferences.
05

zkPorter (Matter Labs Concept)

A proposed data availability solution for zkSync that uses a hybrid model with zkGuardians. It partitions the network into two channels: a ZK-Rollup channel with full Ethereum security and a zkPorter channel with off-chain data availability.

  • Mechanism: zkPorter accounts are secured by proof-of-stake (PoS) guardians who stake tokens. If data is withheld, guardians can be slashed.
  • Goal: To provide a cheaper, scalable option while introducing cryptoeconomic security instead of pure committee trust.
06

Trade-offs vs. ZK-Rollups

The fundamental choice between Validium and ZK-Rollups centers on data availability.

  • Validium: Lower fees, higher throughput. Trust assumption in an off-chain data provider (DAC or PoS). Vulnerable to data withholding attacks.
  • ZK-Rollup: Higher fees, slightly lower throughput. Inherits Ethereum-level security for data availability. No additional trust assumptions.

The decision is application-specific, balancing cost, throughput, and security requirements.

security-considerations
VALIDIUM

Security Considerations & Trade-offs

A Validium is a Layer 2 scaling solution that processes transactions off-chain but uses validity proofs to ensure correctness, with the critical trade-off that data availability is handled off-chain, not on the main Ethereum blockchain.

03

Withdrawal Challenges & Exit Games

If data availability fails, users must rely on an exit mechanism. Unlike Optimistic Rollups, which have a built-in challenge period, Validiums often implement permissioned exits or require users to submit a fraud proof with their own copy of the data. This creates a higher burden on users to monitor the network and can lead to longer, more complex withdrawal processes during disputes.

04

Trusted Data Availability Committees

Many Validium implementations rely on a permissioned set of entities (a DAC) to attest to data availability. This introduces a trust assumption and potential for collusion. While members are typically reputable and stake collateral, the model is less decentralized and censorship-resistant than posting data directly to Ethereum. Solutions like Volition allow users to choose between Validium and zk-Rollup modes per transaction.

05

Censorship Resistance

Because operators or DAC members control data posting, they can theoretically censor transactions by refusing to include them in a batch or provide the necessary data for a withdrawal. While cryptographic proofs prevent theft of funds, censorship remains a practical concern. This contrasts with zk-Rollups, where data is on-chain, ensuring anyone can force inclusion.

06

Use Cases & Trade-off Analysis

Validiums are optimal for applications prioritizing ultra-low cost and high throughput where total value at risk is manageable or users are sophisticated. Common use cases include:

  • High-frequency trading and gaming
  • Enterprise and institutional private transactions
  • Applications where data privacy is paramount The trade-off accepts reduced liveness guarantees for superior scalability, making it unsuitable for storing the entire state of a high-value decentralized exchange without additional safeguards.
data-availability-mechanisms
DATA AVAILABILITY MECHANISM

Validium

A scaling solution that processes transactions off-chain but relies on a separate data availability committee or cryptographic proofs to ensure data is accessible for verification.

Validium is a Layer 2 scaling solution that executes transactions off-chain, like a zk-Rollup, but stores data availability off-chain with a committee or cryptographic proofs instead of on the base Layer 1 blockchain. This architecture dramatically increases throughput and reduces costs by not publishing transaction data to the main chain, but it introduces a different trust assumption regarding data accessibility. The core security guarantee is that funds cannot be stolen, but withdrawals can be frozen if the data availability provider acts maliciously or fails.

The mechanism relies on validity proofs, typically zero-knowledge SNARKs or STARKs, to cryptographically verify the correctness of off-chain state transitions. A key differentiator is its data availability layer: instead of using the L1, it employs a set of trusted parties known as a Data Availability Committee (DAC). Committee members must cryptographically attest that transaction data is available, and users can only withdraw funds if they can provide a fraud proof demonstrating data was withheld—a process that requires the data itself, creating a circular dependency if it's unavailable.

Compared to zk-Rollups, Validium offers higher throughput and lower fees by avoiding L1 data publishing costs, but with higher complexity and a weaker data availability guarantee. Its primary use cases are for applications requiring extreme scalability and low cost for non-financial transactions or where users trust the committee, such as high-frequency trading or gaming. Notable implementations include StarkEx in "Validium mode" and certain configurations of Polygon zkEVM.

The security model presents a trade-off: while cryptographic proofs prevent invalid state transitions, the system is vulnerable to censorship and liveness failures if the DAC colludes or disappears. To mitigate this, some designs incorporate proof-of-stake slashing for committee members or fallback mechanisms to a rollup mode. This makes Validium part of a broader data availability spectrum, sitting between pure rollups and plasma solutions in its trust assumptions.

Future developments aim to decentralize the data availability layer further using technologies like EigenDA or Celestia, which provide cryptoeconomically secured data availability without a centralized committee. This evolution seeks to preserve Validium's performance advantages while moving toward the trust-minimized security model of rollups, blurring the line between the two architectures in what some term "Volition" systems, where users can choose their data storage tier per transaction.

VALIDIUM

Frequently Asked Questions (FAQ)

Answers to common technical questions about Validium, a Layer 2 scaling solution that uses off-chain data availability.

Validium is a Layer 2 scaling solution that executes transactions off-chain and posts only validity proofs (like ZK-Rollups) to the mainnet, while keeping transaction data off-chain in a separate data availability committee or network. It works by bundling thousands of transactions into a single proof, which is then verified on the base layer (e.g., Ethereum), ensuring the integrity of the off-chain state without publishing the full data on-chain. This architecture provides high throughput and low fees but relies on external data availability providers, introducing a different trust model than pure rollups.

VALIDIUM

Common Misconceptions

Validium is a Layer 2 scaling solution that processes transactions off-chain but uses validity proofs to guarantee correctness, with data availability handled off-chain. This section clarifies frequent misunderstandings about its security model, trade-offs, and comparison to other scaling architectures.

Validium is not inherently less secure than a zkRollup; it offers a different security model with a distinct trade-off between scalability and data availability. Both architectures use zero-knowledge proofs (ZKPs) to cryptographically guarantee the validity of state transitions. The core difference is where the transaction data is stored: a zkRollup posts compressed data to the Ethereum mainnet (on-chain data availability), while a Validium stores data off-chain with a committee or other system. This makes Validium vulnerable to data availability failures where users cannot prove ownership of their assets if the off-chain data is withheld, a risk not present in zkRollups.

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