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the-creator-economy-web2-vs-web3
Blog

Why Zero-Knowledge Proofs Could Revolutionize Royalty Privacy

Public on-chain royalties leak sensitive data and create friction. ZK proofs offer a radical alternative: verifiable compliance without exposing price or payee, unlocking professional adoption.

introduction
THE PRIVACY IMPERATIVE

Introduction

Zero-knowledge proofs are the only cryptographic primitive that enables verifiable royalty payments without exposing sensitive commercial data.

Royalty leakage is a revenue problem. Public blockchains expose transaction details, allowing competitors to reverse-engineer licensing deals and undercut rates. This transparency tax forces businesses off-chain, negating blockchain's core benefits.

ZKPs enable selective disclosure. Protocols like Aztec and zkSync demonstrate that you can prove payment compliance without revealing the amount or counterparty. This creates a verifiable private state for business logic.

The standard is shifting from transparency to opacity. Public chains like Ethereum prioritize auditability for DeFi, but enterprise B2B transactions require confidentiality. ZKPs provide the audit trail without the data leak, merging the strengths of Hyperledger Fabric-style privacy with public settlement.

Evidence: JPMorgan's Onyx uses ZKPs for private settlements, processing billions while hiding sensitive details. This model proves private verification scales for high-value enterprise contracts where data is the asset.

thesis-statement
THE DATA LEAK

The Core Argument: Privacy Enables Professionalism

Public blockchain transparency creates an information asymmetry that undermines professional dealmaking and market efficiency.

Public ledgers leak alpha. Every royalty payment on-chain reveals deal terms, creating a free data feed for competitors and speculators that devalues the underlying IP.

ZK proofs enforce confidentiality. Protocols like Aztec and Aleo allow parties to prove a valid transaction occurred without exposing its financial details, creating a private settlement layer.

Privacy enables complex agreements. Confidential amounts allow for tiered royalties, performance-based payouts, and bespoke OTC deals impossible on transparent chains like Ethereum mainnet.

Evidence: The $50B private equity industry relies on NDAs; on-chain music royalties currently expose every stream's value, stifling premium licensing.

market-context
THE TRANSPARENCY TRAP

The State of Play: A Broken System

Public blockchain transparency, a foundational feature, is the primary obstacle to implementing private, enforceable creator royalties.

On-chain royalties are public data. Every royalty payment and its recipient are visible on an immutable ledger, creating a privacy vulnerability for creators who wish to keep their income streams and business relationships confidential.

Smart contracts lack native privacy. Standard ERC-721 and ERC-1155 NFTs expose all transfer logic. Protocols like Manifold's Royalty Registry or EIP-2981 standardize royalty enforcement but do not conceal the payment amounts or payee addresses from public view.

This transparency enables extraction. Competitors and marketplaces can algorithmically scrape royalty data to reverse-engineer deal terms and undercut creators, turning a protection mechanism into a vector for predatory business intelligence.

Evidence: Major music NFT platforms like Sound.xyz and Catalog must operate with fully public royalty splits, forcing artists to choose between on-chain provenance and financial privacy—a trade-off unacceptable in traditional IP.

ZK-PROOF IMPLEMENTATIONS

Public vs. Private Royalty Models: A Feature Matrix

A technical comparison of NFT royalty enforcement models, focusing on the privacy and compliance trade-offs enabled by zero-knowledge proofs.

Feature / MetricPublic On-Chain (Status Quo)Private ZK Royalty (e.g., ZK-Rollups)Hybrid ZK Model (e.g., Aztec, Aleo)

Royalty Logic Visibility

Fully transparent

Fully private

Selectively private

Royalty Recipient Privacy

Public address

ZK-shielded address

ZK-shielded address

Royalty Amount Privacy

Public payment

Private payment

Private payment

Secondary Sale Detection

Public mempool snooping

Private state proofs

App-specific private proofs

Compliance Proof Generation

Not applicable

ZK-SNARK (~2-5 sec)

ZK-STARK (~0.5-2 sec)

Gas Overhead per TX

5-10% of sale value

15-25% of sale value

10-20% of sale value

Integration Complexity

Low (Standard EIP-2981)

High (Custom circuit)

Medium (SDK-based)

Regulatory Audit Trail

Full public ledger

Zero-knowledge attestation

Selective disclosure proof

deep-dive
THE PROOF

The Technical Architecture: How ZK Private Royalties Work

Zero-knowledge proofs enable verifiable royalty payments without exposing the underlying transaction data.

ZK-SNARKs and ZK-STARKs are the cryptographic engines. They generate a proof that a royalty calculation is correct, without revealing the sale price, buyer identity, or the specific NFT involved.

On-chain verification, off-chain computation separates logic from exposure. The sensitive sale data is processed privately, while only the tiny, verifiable proof is published to a public ledger like Ethereum or Solana.

This contrasts with transparent systems like EIP-2981, which leaks all payment details. ZK proofs provide the same auditability for creators without the privacy sacrifice for collectors.

Evidence: Protocols like Aztec and Aleo are building general-purpose ZK-rollups, demonstrating the infrastructure for private financial logic is production-ready.

protocol-spotlight
ZK-PROOF PRIVACY

Builders in the Arena

Current royalty models leak sensitive commercial data on-chain. Zero-Knowledge Proofs offer a cryptographic path to confidentiality without sacrificing verifiability.

01

The Problem: Public Ledger, Private Terms

Today, every royalty payment is a public transaction. This exposes deal terms, revenue splits, and partner identities to competitors.\n- Reveals exact payment amounts and frequencies.\n- Identifies wallet addresses of licensors and licensees.\n- Enables reverse-engineering of commercial agreements and valuations.

100%
Data Exposed
$0
Privacy Cost
02

The Solution: zk-SNARKs for Obfuscated Settlement

Use a ZK-proof to verify a payment conforms to a private contract, revealing only a validity signal. Projects like Aztec and zkSync provide the foundational circuits.\n- Proves payment correctness without revealing amount or recipient.\n- Enables private DeFi primitives for confidential streaming and splits.\n- Maintains auditability for regulators via selective disclosure.

<$0.01
Proving Cost
~3s
Verification
03

The Builder: EIP-7503 & Private Mempools

Standardization is key. Emerging specs like EIP-7503 for private mempools and ZK-rollup architectures from StarkWare and Polygon zkEVM create the infrastructure layer.\n- Separates execution from disclosure via encrypted calldata.\n- Integrates with existing royalty standards (EIP-2981).\n- Leverages recursive proofs to batch thousands of private transactions.

1000+
Txs/Batch
EIP-7503
Standard
04

The Hurdle: On-Chain vs. Off-Chain Trust

ZK-proofs move trust from counter-parties to mathematics, but introduce new friction. The oracle problem persists for real-world data feeds.\n- Requires off-chain computation to generate proofs, adding latency.\n- Needs trusted setup or transparency logs for some proof systems.\n- Increases gas cost for verification, though batched verification via Scroll or Taiko mitigates this.

+200ms
Proving Latency
1-of-N
Trust Model
05

The Killer App: Confidential NFT Royalties

The first major use case is NFT platforms like Art Blocks or OpenSea. ZK-proofs can hide secondary sale prices and royalty splits from public view while ensuring creators get paid.\n- Protects collector privacy and asset valuation.\n- Enables tiered, private royalty agreements between artists and galleries.\n- Uses merkle trees or nullifiers to prove inclusion in a payment set.

$2B+
Annual Volume
100%
Compliance
06

The Future: ZK-Coprocessors & Autonomous Agents

The endgame is autonomous agents negotiating and settling royalties via ZK-proofs. Platforms like Axiom or RISC Zero enable smart contracts to compute on historical state privately.\n- Agents execute based on private sales data verified by ZK.\n- Enables dynamic, algorithmic royalty models.\n- Creates a fully private on-chain business development layer.

~500ms
State Proof
Autonomous
Settlement
counter-argument
THE REALITY CHECK

The Skeptic's View: Over-Engineering a Niche Problem?

ZK proofs for royalties solve a real problem, but their adoption depends on solving a more fundamental market failure.

Royalty enforcement is a market problem, not a technical one. Protocols like EIP-2981 already provide a standard for on-chain royalty data. The core issue is that marketplaces like Blur and OpenSea have no economic incentive to enforce creator fees, making any privacy solution irrelevant without a shift in market dynamics.

ZK proofs add significant overhead for a marginal privacy gain. The computational cost of generating a ZK-SNARK for a simple royalty payment is disproportionate to the transaction value. This creates a negative user experience and higher gas fees compared to a simple, clear on-chain transaction.

The real value is in composable privacy. The ZK technology stack (e.g., zkSync's ZK Stack, Polygon zkEVM) is being built for scalable private transactions. Royalties are a narrow use case; the infrastructure will be justified by broader applications like private DeFi on Aztec Network or confidential enterprise data sharing.

Evidence: Look at adoption curves. ERC-4337 account abstraction gained traction by solving a universal UX problem. A ZK royalty standard needs a similar killer app—like enabling private royalty streams for music NFTs on Sound.xyz—to move beyond a niche protocol feature.

risk-analysis
ZK ROYALTY PRIVACY

The Bear Case: What Could Go Wrong

ZK proofs promise private, verifiable royalty logic, but systemic risks could stall adoption.

01

The Prover Centralization Trap

Trusted setups and expensive proving hardware create bottlenecks. A few centralized services like zkSync or StarkWare could become single points of failure or censorship for high-value royalty streams.\n- Proving costs can be prohibitive for small creators.\n- Hardware acceleration (e.g., Ulvetanna) creates a moat for large operators.

>90%
Prover Market Share
$0.01+
Per-Tx Cost
02

The Oracle Problem, Rebranded

ZK proofs verify computation, not real-world data. Private royalty logic still needs trusted inputs for sales data from opaque markets like Blur or Magic Eden. This recreates the oracle problem, where a few data providers (Chainlink, Pyth) become the privacy weak link.\n- Data availability for private states is unsolved.\n- Cross-chain attestations add another layer of trust.

1-3
Dominant Oracles
~2s
Data Latency
03

Regulatory Blowback & Blacklisting

Complete privacy is a regulatory red flag. Authorities could mandate backdoors or blacklist ZK circuits that obfuscate financial flows, forcing compliance layers from firms like Aztec to be neutered. This creates legal risk for any L1/L2 (e.g., Ethereum, Solana) hosting these applications.\n- Travel Rule compliance is technically antithetical.\n- OFAC sanctions could target entire privacy-preserving protocols.

100%
Opaque Flows
High
Legal Risk
04

The UX Death Spiral

Proving times and wallet integration complexities destroy user experience. Waiting ~10 seconds for a proof to generate on a marketplace like OpenSea kills impulse buys. Wallets (MetaMask, Phantom) lack native ZK support, forcing users into clunky side-channels.\n- Proof generation latency is a conversion killer.\n- Key management for stealth addresses adds friction.

~10s
Proving Time
-70%
Checkout Conversion
05

Fragmented Liquidity & Composability Kill

Private royalty pools cannot be composed with DeFi legos. A private NFT on Zora with a ZK royalty stream is a siloed asset, unusable as collateral on Aave or in a Uniswap pool. This fragments liquidity and stifles the network effects that drive Web3 value.\n- Zero composability with public DeFi.\n- Fragmented TVL across opaque, isolated states.

$0
DeFi TVL
Siloed
Asset State
06

The Cryptography Arms Race

ZK tech is a moving target. Today's secure SNARK (e.g., Groth16) is broken by tomorrow's quantum-adjacent attack. Projects face constant, costly re-audits and circuit rewrites, creating maintenance overhead that startups like Anoma or Espresso may not survive. Ethereum's slow upgrade cycle exacerbates this.\n- Cryptographic obsolescence risk every 18-24 months.\n- Multi-million dollar audit cycles per upgrade.

18-24mo
Obsolescence Cycle
$2M+
Audit Cost/Cycle
future-outlook
THE PRIVACY LAYER

The Roadmap: From NFTs to Universal IP Licensing

Zero-knowledge proofs are the missing privacy layer that will unlock verifiable, private licensing for any digital asset.

ZKPs enable private verification. Current NFT royalty schemes leak sensitive commercial terms on-chain. A ZK proof, like those generated by zkSync or Starknet circuits, can prove a license payment is correct without revealing the royalty rate or final sale price to the public ledger.

This shifts the paradigm from transparency to verifiability. The industry standard moved from total opacity (Web2) to radical transparency (public blockchains). ZKPs introduce a third axis: cryptographic verifiability without disclosure, which is the prerequisite for complex, confidential B2B agreements.

The end-state is a universal licensing primitive. A creator deploys a ZK-verified smart contract, like an ERC-721 with hidden parameters. Platforms from OpenSea to Uniswap can programmatically verify compliance for derivative works or resales via a proof, not by inspecting public state.

Evidence: Aztec Network demonstrated this model for private DeFi. Applying its zk.money architecture to IP creates a system where a licensor's total earnings are provable to an auditor, while every individual transaction remains private between counterparties.

takeaways
ZK ROYALTY PRIVACY

TL;DR for Busy Builders

Current royalty models leak sensitive business logic. ZK proofs let you prove compliance without revealing the terms.

01

The Problem: Public Ledgers, Private Terms

On-chain royalty splits expose partner percentages and revenue thresholds to competitors. This is a critical data leak for B2B platforms and enterprise NFT projects.

  • Competitive Intelligence: Rivals can reverse-engineer your business deals.
  • Negotiation Leverage Lost: Partners see all terms, weakening your position.
  • Opaque Compliance: Proving you paid correctly requires revealing the entire contract.
100%
Data Exposed
02

The Solution: zk-SNARKs for Confidential Splits

Use a ZK circuit to prove a payment satisfies a private royalty agreement. The on-chain verifier checks the proof, not the terms. Inspired by zkRollup state transitions and Aztec's private finance.

  • Selective Disclosure: Prove payment correctness without revealing recipient addresses or percentages.
  • Auditability: Auditors can be given a viewing key to verify compliance off-chain.
  • Composability: Private royalty logic can be a module within larger private smart contracts.
~0
Terms Leaked
< 1KB
Proof Size
03

The Architecture: Private State & Public Verification

This requires a private state object (like a Merkle tree of commitments) updated off-chain. Public verifiers like Scroll or Polygon zkEVM can be used. Similar to how Tornado Cash hid transaction graphs.

  • Off-Chain Computation: Royalty logic executes privately; only a proof is posted.
  • On-Chain Anchor: A single hash on L1 (e.g., Ethereum) acts as the state root.
  • Interoperability: Can work across chains via zkBridge architectures for cross-chain royalties.
~200ms
Verification Time
L1 Security
Settlement
04

The Trade-off: Prover Cost vs. Business Value

ZK proving is computationally expensive ($0.01-$0.10 per proof). This is only viable for high-value settlements, not micro-transactions. Compare to StarkNet's Cairo for batch efficiency.

  • Cost-Benefit: Justified for B2B deals, luxury NFT drops, or music royalty pools.
  • Batching Potential: Aggregate multiple royalty payments into a single proof to amortize cost.
  • Hardware Evolution: Custom provers (e.g., Supranational) will drive cost down over time.
$0.01-$0.10
Proof Cost
> $10k
Deal Threshold
05

The Competitor: Fully Homomorphic Encryption (FHE)

FHE (e.g., Fhenix, Inco) allows computation on encrypted data. It's more flexible but currently ~1000x slower than ZK for verification. This is the privacy tech stack decision point.

  • FHE Advantage: No need for trusted setup; continuous private computation.
  • ZK Advantage: Faster public verification, mature tooling (Circom, Halo2).
  • Hybrid Future: Use ZK to prove correct FHE execution for optimal privacy/performance.
1000x
Slower (FHE)
2-5 yrs
Maturity Gap
06

The Action: Start with a Private Oracle

Don't build a full ZK system day one. Implement a private off-chain oracle (like Chainlink Functions with TLS) to compute royalties and post a commitment. Add ZK proofs later for trustlessness.

  • Iterative Path: Start with attested privacy, migrate to cryptographic guarantees.
  • Tooling Leverage: Use Noir for easy circuit writing or RISC Zero for generic proofs.
  • First Adopters: Look to enterprise consortia and high-end generative art platforms.
Phase 1
Oracle
Phase 2
ZK Proof
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