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Glossary

Validium

A Layer 2 scaling solution that uses validity proofs for security but stores transaction data off-chain, relying on a Data Availability Committee or similar mechanism instead of on-chain publication.
Chainscore © 2026
definition
SCALING SOLUTION

What is Validium?

A blockchain scaling architecture that combines off-chain data availability with on-chain security.

A Validium is a Layer 2 (L2) scaling solution for blockchains like Ethereum that processes transactions off-chain but uses zero-knowledge proofs (ZK-proofs) to validate correctness, with the critical distinction that transaction data is stored off-chain by a committee or data availability committee (DAC) instead of on the main chain. This design dramatically increases transaction throughput and reduces costs by not publishing data to the congested Layer 1, but it introduces a different trust assumption regarding data availability. The core security model relies on the assumption that at least one honest member of the DAC will make the data available if needed for fraud proofs or to exit the system.

The operational mechanism involves users depositing funds into a smart contract on the main chain, the L1. Transactions are then batched and executed off-chain by operators. For each batch, a validity proof (specifically a ZK-SNARK or ZK-STARK) is generated and posted to the L1 contract. This cryptographic proof attests that all transactions in the batch are valid and follow the protocol rules, without revealing the transaction details. Because the L1 only needs to verify this compact proof, it can finalize the state of thousands of transactions with minimal computational effort, enabling high transactions per second (TPS) and low fees.

The primary trade-off in a Validium is data availability. Unlike ZK-Rollups, which post all transaction data to the L1 as calldata, Validiums keep this data off-chain. This is managed by a Data Availability Committee (DAC), a set of known entities that cryptographically attest to holding the data and making it available upon request. If the DAC withholds data, users cannot generate the proofs required to withdraw their assets, creating a custodial risk. This model is often contrasted with Volitions, which give users the choice per transaction between Validium-mode (off-chain data) and ZK-Rollup-mode (on-chain data).

Validium is particularly suited for high-frequency, low-value transactions where ultimate decentralization of data is less critical than cost and speed. Prime use cases include high-volume decentralized exchanges (DEXs), gaming applications, and payment networks. Projects like StarkEx (powering dYdX and Immutable X) offer a Validium mode. Its security is considered strong against transaction censorship and state validation fraud due to ZK-proofs, but it is inherently weaker than pure rollups against data withholding attacks, making the reputation and incentive structure of the DAC paramount.

key-features
VALIDIUM ARCHITECTURE

Key Features

Validium is a Layer 2 scaling solution that processes transactions off-chain while ensuring data availability and validity through zero-knowledge proofs.

03

High Throughput & Low Fees

By moving both computation and data off-chain, Validium achieves significant scalability. Key metrics:

  • High TPS: Can process thousands of transactions per second.
  • Low Cost: Users avoid paying for L1 data storage (calldata).
  • Efficiency: Ideal for high-frequency applications like gaming or decentralized exchanges.
04

Withdrawal Security & Data Challenges

The primary security model relies on the Data Availability Committee. If data is withheld, users cannot reconstruct the state to prove asset ownership, potentially freezing funds. Some implementations use fraud proofs or voluntary exit mechanisms to mitigate this risk, but a live data feed is required for normal operation.

05

Use Cases & Examples

Validium is optimal for applications prioritizing cost and speed over pure decentralization of data.

  • DeFi: ImmutableX for NFT trading.
  • Gaming: StarkEx-powered dYdX (v3) for perpetuals.
  • Enterprise: Applications requiring privacy and high volume. It trades the data availability guarantee of a rollup for superior performance.
06

Comparison to zk-Rollup

The core distinction is where transaction data is stored.

  • zk-Rollup: Data on-chain (calldata). Maximally secure, higher fees.
  • Validium: Data off-chain (DAC). Higher throughput, lower fees, with a trust assumption. Hybrid models like Volition allow users to choose per transaction between rollup (data on-chain) and validium (data off-chain) modes.
how-it-works
SCALING MECHANISM

How Validium Works

Validium is a Layer 2 scaling solution that executes transactions off-chain but uses zero-knowledge proofs for data availability, offering high throughput with distinct security trade-offs.

A Validium is a Layer 2 scaling solution that processes transactions off the main Ethereum chain (Layer 1) to achieve high throughput and low fees, but differs from a zk-Rollup by storing its data off-chain. It uses zero-knowledge proofs (ZKPs), specifically validity proofs, to cryptographically guarantee the correctness of state transitions. These proofs, known as SNARKs or STARKs, are periodically posted to the mainnet, allowing anyone to verify the integrity of the off-chain activity without re-executing all transactions. This model decouples proof verification from data availability, which is its core architectural distinction.

The critical operational mechanism is its data availability model. Instead of posting full transaction data to Layer 1, a Validium relies on a committee of Data Availability Managers (DAMs) or a Proof-of-Stake network to store and attest to the data's availability off-chain. Users can request their transaction data from these operators to compute proofs or exit the system. This design drastically reduces on-chain data costs, enabling potentially higher transaction volumes than zk-Rollups. However, it introduces a data availability risk: if the operators become malicious or unresponsive and withhold data, users may be unable to prove ownership of their assets, potentially freezing funds.

To mitigate the data availability risk, most Validium implementations incorporate fraud proofs or escape hatches. These are emergency mechanisms that allow users to exit the Validium chain if data is withheld. Typically, this involves submitting an on-chain request with a Merkle proof of their funds, which initiates a challenge period. If the operators do not respond with the requisite data to disprove the claim, the user can withdraw their assets directly to Layer 1. This safety net is crucial but is slower and more cumbersome than the instant withdrawal guarantees provided by systems with on-chain data.

Validium is particularly suited for high-frequency, low-value transactions where absolute censorship resistance is secondary to cost and speed, such as in gaming, decentralized exchanges, and micropayments. Its architecture makes it a hybrid between a zk-Rollup and a Plasma chain, borrowing the cryptographic assurance of the former and the off-chain data model of the latter. Prominent examples include StarkEx in Validium mode (powering dYdX and Immutable X) and zkPorter, a data-availability sidechain for zkSync.

L2 SCALING COMPARISON

Validium vs. zkRollup vs. Optimistic Rollup

A technical comparison of key attributes across three major Layer 2 scaling architectures.

FeatureValidiumzkRollupOptimistic Rollup

Data Availability

Off-chain (Data Availability Committee)

On-chain (Ethereum calldata)

On-chain (Ethereum calldata)

Security Model

ZK-SNARK/STARK proofs with trust assumptions for data

ZK-SNARK/STARK proofs (cryptographic security)

Fraud proofs with 1-2 week challenge period

Withdrawal Time (to L1)

< 10 minutes

< 10 minutes

1-2 weeks (challenge period)

Throughput (Tx/sec)

Highest (no on-chain data)

High (compressed on-chain data)

Medium (full on-chain data)

Transaction Cost

Lowest (no L1 data fees)

Low (compressed data fees)

Higher (full data fees)

Trust Assumptions

Yes (Data Availability Committee)

No (cryptographically secure)

No (economically secure via fraud proofs)

EVM Compatibility

Primary Use Case

High-throughput, low-cost private apps

General-purpose, secure DeFi

General-purpose, flexible smart contracts

examples
REAL-WORLD NETWORKS

Validium Implementations & Examples

Validium is a scaling architecture implemented by several major Layer 2 networks, each with distinct design choices for data availability and security.

04

Data Availability Committee (DAC)

A core security component of many validiums. A DAC is a set of trusted, known entities that sign off on the availability of off-chain data. If the committee is honest, users can reconstruct state and exit. This trades the cryptoeconomic security of Ethereum for a permissioned or federated trust model to achieve lower costs.

05

Volition (Hybrid Model)

A user-configurable architecture that combines Validium and zkRollup within a single protocol. Users or applications can choose per transaction whether data is stored on-chain (zkRollup mode for high-value assets) or off-chain (Validium mode for low fees). This is implemented by StarkEx (via SHARP) and proposed by zkSync's zkPorter.

06

Key Trade-offs & Considerations

Choosing a validium involves specific trade-offs:

  • Cost vs. Security: Drastic fee reduction by removing L1 data costs, but introduces data availability risk.
  • Trust Assumptions: Relies on the honesty of a DAC or a separate PoS system, unlike pure rollups.
  • Exit Guarantees: Users cannot force an exit if the committee withholds data, a key difference from rollups.
  • Use Cases: Ideal for high-throughput applications like gaming, social, and certain DeFi where ultimate L1 security is secondary to cost.
security-considerations
VALIDIUM

Security Considerations & Trade-offs

Validium is a Layer 2 scaling solution that uses zero-knowledge proofs for validity but stores data off-chain, creating a distinct security and performance profile compared to rollups.

02

Data Availability Committee (DAC)

A permissioned set of trusted entities responsible for storing and providing transaction data upon request in many Validium designs.

  • Security Model: Relies on the assumption that a threshold of committee members (e.g., a majority) remains honest and online.
  • Censorship Risk: The DAC could theoretically withhold data, preventing state updates or withdrawals.
  • Examples: StarkEx's DAC (used by dYdX, Immutable X) typically requires signatures from at least 5 of 8 members.
03

Withdrawal Security & Forced Transactions

To mitigate data availability risk, Validiums implement forced transaction or escape hatch mechanisms. If a user suspects censorship, they can submit a data unavailability claim directly to the on-chain verifier. This triggers a challenge period where the DAC must publish the missing data. If they fail, the system enters a slow exit mode, allowing users to withdraw assets based on the last known valid state, though this process can be delayed.

04

Comparison to zk-Rollup

The key architectural difference defining the security spectrum.

  • zk-Rollup: Data posted on-chain. Inherits Ethereum's data availability and censorship resistance. Higher fees, maximum security.
  • Validium: Data kept off-chain. Higher throughput, lower fees. Trust assumption shifts to the off-chain data provider (DAC or validity-proof-based system).
  • Volition: A hybrid model where users can choose per-transaction whether data goes on-chain (zk-Rollup mode) or off-chain (Validium mode).
05

Operational & Upgrade Risks

Like all smart contract systems, Validiums have additional risk vectors:

  • Verifier Contract Risk: Bugs in the on-chain zero-knowledge proof verifier.
  • Upgrade Keys: The ability of a multi-sig or governance to upgrade the contract, which could be used maliciously.
  • Operator Centralization: The single entity (Sequencer/Prover) that batches and proves transactions presents a liveness and censorship point of failure, though validity is still cryptographically enforced.
06

Use Case Suitability

The trade-offs make Validium optimal for specific applications where extreme cost and scalability are paramount, and asset custody is often centralized.

  • High-Frequency Trading (DEXs): Low fees are critical.
  • Gaming & NFTs: High transaction volume for minting and trading, where individual asset values may be lower.
  • Enterprise Payments: Private, high-volume settlement where participants are known and can trust the DAC. It is less suited for storing extremely high-value, long-term custody assets where base-layer security is non-negotiable.
DEBUNKED

Common Misconceptions About Validium

Validium is a scaling solution that uses off-chain data availability, leading to several widespread misunderstandings about its security, cost, and functionality. This section clarifies the most frequent points of confusion.

A Validium is not inherently less secure than a ZK-Rollup; it trades one type of security guarantee for another. Both use zero-knowledge proofs (ZKPs) to validate state transitions, ensuring computational integrity. The core difference is data availability (DA): ZK-Rollups post this data to the L1, while Validiums keep it off-chain with a committee or Proof-of-Stake (PoS) guardians. This makes Validiums vulnerable to data withholding attacks, where funds could be frozen if the DA committee acts maliciously, but not to invalid state transitions. For many high-throughput applications where users trust the operator, this is an acceptable trade-off for lower fees.

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 processes transactions off-chain and posts only validity proofs (like ZK-Rollups) to the main Ethereum chain, but stores its transaction data off-chain with a separate Data Availability Committee (DAC) or a proof-of-stake network, rather than on-chain. It works by bundling thousands of transactions into a single batch, generating a cryptographic proof (a ZK-SNARK or ZK-STARK) that verifies the correctness of all transactions, and then posting only that compact proof to the mainnet. This architecture provides high throughput and low fees but introduces a trust assumption regarding the availability of the off-chain data.

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Validium: Layer 2 Scaling with Off-Chain Data | ChainScore Glossary