Arc

Top Builders

Explore the top contributors showcasing the highest number of app submissions within our community.

Arc

Arc is a purpose-built, EVM-compatible Layer-1 blockchain advancing the frontier of stablecoin finance and tokenization. It features USDC as native gas, deterministic settlement finality, opt-in privacy, and a stable transaction fee architecture. Optimized for stablecoin-native use cases, such as global payments, FX, and capital markets, Arc serves as a foundational settlement layer for programmable money on the internet.

General
Company	Circle Internet Group
Website	Arc Network
Documentation	https://www.arc.network/litepaper
Type	Layer-1 Blockchain
Launch	Public Testnet Fall 2025, Mainnet Beta 2026
Consensus	Malachite (Byzantine Fault Tolerant)
Compatibility	EVM-Compatible

Core Architecture

Malachite Consensus Engine

High-performance Byzantine Fault Tolerant (BFT) consensus
Built on Tendermint algorithm with Rust implementation
Sub-second deterministic finality (under 350ms with 20 validators)
Performance up to 10,000 TPS with 4 validators
No probabilistic confirmations or chain reorganizations

USDC as Native Gas Token

Transaction fees paid directly in USDC stablecoin
Predictable, dollar-denominated costs for enterprises
Eliminates volatile crypto token exposure for gas payments
Enhanced EIP-1559 fee mechanism with weighted moving averages
Stable transaction fee architecture optimized for business use

EVM Compatibility

Full Ethereum Virtual Machine compatibility
Seamless migration of existing Ethereum applications
Support for existing developer tools and frameworks
Native integration with Solidity smart contracts

Key Features

Deterministic Settlement Finality

Transactions achieve irreversible finality in under 1 second
No risk of chain reorganizations or reversals
Guaranteed final settlement for enterprise applications
Superior to probabilistic finality models

Built-in FX Engine

Institutional-grade Request-for-Quote (RFQ) system
24/7 on-chain foreign exchange and settlement
Payment-versus-Payment (PvP) atomic swaps
Support for multiple stablecoin pairs (USDC, EURC, etc.)
Perpetual futures markets for stablecoin trading

Opt-in Privacy Controls

Confidential transfers hiding transaction amounts
Addresses remain visible for compliance
View keys for selective disclosure to regulators/auditors
Trusted Execution Environment (TEE) implementation
Future support for MPC, FHE, and Zero-Knowledge proofs

MEV Mitigation

Classification of constructive vs. harmful MEV
Encrypted mempools to prevent front-running
Batch transaction processing
Multi-proposer mechanisms for fair ordering
Protection against sandwich attacks and value extraction

Enterprise Integration

Circle Platform Integration

Native support for Circle Payments Network (CPN)
Full integration with USDC, EURC, and USYC tokens
Circle Mint, Wallets, and Contracts compatibility
Cross-Chain Transfer Protocol (CCTP) support
Gateway interoperability service integration

Real-World Asset Tokenization

Support for tokenized equities, bonds, and securities
Private credit and institutional fund tokenization
Partnership with licensed asset issuers and custodians
Regulated real-world asset (RWA) framework
Compliance-ready tokenization infrastructure

Institutional Validator Network

Permissioned Proof-of-Authority consensus initially
Hand-selected institutional validators
Geographic distribution of validator nodes
High compliance and regulatory standards
Future transition to broader validator participation

Use Cases

Global Payments & Remittances

Cross-border payments with instant settlement
Reduced intermediary costs and complexity
24/7 operation independent of banking hours
Multi-currency stablecoin support

Capital Markets & Trading

Institutional trading settlement
Tokenized securities and derivatives
Automated delivery-versus-payment (DvP)
Real-time collateral management

Foreign Exchange

On-chain FX trading and settlement
Stablecoin pair perpetual futures
Institutional-grade price discovery
Automated currency conversion

Treasury Management

AI-powered treasury optimization
Yield-bearing stablecoin integration (USYC)
Programmable finance workflows
Automated compliance reporting

Technical Specifications

Throughput: 3,000-10,000 TPS depending on validator count
Finality: Sub-second (100-350ms) deterministic settlement
Consensus: Malachite BFT based on Tendermint
Virtual Machine: Ethereum Virtual Machine (EVM) compatible
Gas Token: USDC native gas payments
Privacy: Opt-in confidential transfers with compliance features
Interoperability: Cross-chain bridges and CCTP integration

Development Timeline

Private Testnet: August 2025 (launched)
Public Testnet: Fall 2025
Mainnet Beta: 2026
Full Production: TBD with community and regulatory readiness

Arc represents Circle's vision for a stablecoin-native financial infrastructure that bridges traditional finance with programmable blockchain technology, designed specifically for enterprise adoption and regulatory compliance.

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Arc AI technology page Hackathon projects

Discover innovative solutions crafted with Arc AI technology page, developed by our community members during our engaging hackathons.

Project Doomsday

Project Doomsday is an quality financial stress-testing engine that simulates how Black Swan events destroy company valuations in real-time. Enter any listed stock ticker — US or Indian; the system deploys a coordinated swarm of 5 AI agents powered by Google Gemini 2.0 Flash via Google AI Studio: 1. Intelligence Analyst: Executes 6 parallel search vectors (geopolitical, supply chain, financial, regulatory, technology, macro) using Tavily real-time search, then synthesizes findings into 6 specific, geolocated risk scenarios. 2. Bear Advocate: Prosecutes each risk with worst-case arguments, historical precedents, and quantified impact estimates. 3. Bull Advocate: Challenges evidence, presents mitigating factors, argues market pricing efficiency. 4. Fracture Judge: Delivers calibrated verdicts (8+ = catastrophic, 6-7 = material, <4 = dismissed) with final severity and probability scores at low temperature for high-conviction decisions. 5. Contagion Modeler: Traces how primary shocks cascade into second, third, and fourth-order effects through credit linkages, supplier networks, and investor psychology. Validated risks are plotted on a global fracture map with curved convergence lines showing geographic vulnerability concentration toward company HQ. The valuation engine uses 5-path context-aware routing — P/BV for banks (debt is their product), EV/Revenue for high-growth (negative FCF breaks DCF), normalized EBITDA for cyclicals (spot earnings mislead at peaks), full DCF only for mature profitable companies, and capped revenue multiples for loss-makers. Base fair value is market-anchored, then stressed through revenue haircuts, margin compression, multiple de-rating, and WACC premium injection. A chaos slider (0-100%) lets users sweep from mild headwinds to full systemic doomsday instantly without re-running the AI pipeline. Every calculation is transparent — full audit trail showing routing logic, formulas with numbers plugged in, and stress decomposition.

Sigui: The Trust Layer for AI Agents

The Missing Trust Infrastructure for the Agentic Economy As AI agents transition into independent economic actors moving billions in assets, they face a fatal security gap: traditional firewalls require human intervention (seconds), while agents operate in milliseconds. Sigui fills this vacuum with the first synchronous vision-AI security oracle. Vision-AI vs. Traditional Engines Text-based risk engines analyze call traces sequentially, missing the complex graph structures of modern exploits. Sigui’s core engine, Imina Na (a Qwen2-VL-7B model fine-tuned via LoRA), treats transactions as visual topologies. By analyzing 100,000+ synthetic attack graphs, it detects "Topological DNA" patterns like DRAIN_STAR or MIXING_CHAIN in just 18ms—patterns invisible to traditional engines. AMD MI300X & ROCm Optimization To achieve sub-50ms total blocking latency, Sigui leverages the massive throughput of AMD MI300X. Our inference stack is natively optimized for ROCm, ensuring the vision encoder runs at peak efficiency. This hardware-software synergy allows for real-time, synchronous evaluation before execution. Proven & Standardized Sigui is not a prototype. We have recorded 380+ blocked attacks on-chain in ThreatRegistry.vy and submitted EIP-8259 to standardize cryptographic agent identity. Fully autonomous and profitable by design, Sigui secures the future of machine-to-machine finance.

Vision Crafters

The AMD Multimodal Workbench is an advanced, unified AI platform designed to showcase the immense potential of integrating state-of-the-art Vision-Language Models (VLMs) into practical, real-world applications. Built as a sleek, highly responsive web interface, the workbench provides a seamless environment where users can explore three distinct multimodal AI capabilities: industrial inspection, medical workflow analysis, and an interactive intelligent assistant. At its core, the project demonstrates how hardware acceleration—specifically leveraging AMD ROCm on powerful GPUs, alongside flexible CPU fallbacks—can dramatically enhance complex AI inference tasks. By consolidating multiple models, including CLIP for zero-shot classification, BLIP for rich image captioning, and the formidable Qwen/Qwen2 VL for deep visual reasoning, the workbench creates a versatile toolset applicable to diverse industries. The first core feature is the Industrial Quality Control module. This mode revolutionizes automated manufacturing by using zero-shot CLIP ranking. It allows users to upload images of components and define ad-hoc, custom defect vocabularies without ever needing to retrain the underlying model. It instantly evaluates the image against these terms, offering a scalable solution for immediate visual quality assurance. The second feature introduces an Educational Medical Imaging Workflow. Designed strictly for demonstrative and learning purposes using public datasets (like chest X-rays), this mode illustrates how multimodal AI can parse complex medical imagery to generate structured, synthesized analysis reports, pointing toward the future of AI as a supportive analytical tool in healthcare education. Finally, the Interactive Multimodal Assistant provides a dynamic visual Q&A experience. It intelligently routes queries based on available hardware, using BLIP and Qwen text models on standard hardware.

Diversifi

DiversiFi is an AI advisor for wealth protection that pays for live evidence on-chain before recommending any portfolio action. For the Arc hackathon, it runs as a proof-of-research rebalancer: the advisor negotiates access with an x402-style 402 Payment Required challenge, accepts a real Arc USDC payment proof from the buyer, then settles its own research spend on Arc before returning the response. Gemini synthesises the paid evidence into a confidence-scored recommendation. Live app: https://diversifiapp.vercel.app DiversiFi presents as a proof-of-research rebalancer for the Arc Nano Payments hackathon: The user asks whether to hold, rebalance, or hedge. The advisor gates premium evidence behind an x402-style 402 Payment Required challenge and accepts real Arc USDC payment proofs. Each premium purchase triggers a real USDC micro-transaction on Arc, returned as a tx hash. Evidence is scored for freshness, reputation, and source agreement before a recommendation is made. The payment is part of the decision loop, not a separate product surface.

ARC-Agents Marketplace

Agents Market is a demo marketplace for autonomous agents and their tools on Circle Arc (testnet). Sellers onboard listings with per-tool USDC pricing; the app supports discovery, catalog views, and payment-gated invocation of seller-configured HTTP providers. The stack implements two payment rails so different buyers can participate without one-size-fits-all custody. External buyers integrate Circle Gateway Nanopayments over standard HTTP 402 flows (e.g. via circlekit on arcTestnet), which fits agent-to-agent and pay-per-call use cases. Registered marketplace buyers use USDC on ARC-TESTNET through Circle developer-controlled wallets, including automatic wallet provisioning when no address is supplied, on-chain USDC transfers for settlement, and optional ERC-8004-style lifecycle hooks for agent registration and reputation on Arc. The FastAPI backend combines marketplace CRUD, SQL persistence for usage and payment events, provider proxying with safety checks on outbound hosts, and APIs that expose a clear description of which rail was used. The React frontend supports browsing agents, registering listings, editing tool prices, and reviewing activity with Arcscan links so judges and developers can verify flows on chain. Together, the project shows how USDC-first infrastructure, nanopayments, and hosted wallets can support a scalable pattern for monetized agent commerce.

ArcTrust

ArcTrust is a usage-based API monetization and discovery layer for the agent economy. Instead of subscriptions, ArcTrust lets services monetize per call and offer discounted bulk credits. In our current demo, we use Circle Wallets with USDC transfers to simulate per-call settlement and bulk purchase flows. Bulk prepaid demand becomes a lightweight reputation signal—if users are willing to buy 10 or 100 calls up front, the provider is delivering repeat value. Our MVP: providers set pay-per-call pricing and bulk bundles; users spend from Circle Wallet balances via transfers; bulk purchases update the demand score. ArcTrust provides flexible access for new users and better economics for high-frequency users. We focused on building something demo-ready on event timelines. If we had more time, we’d also integrate more advanced settlement primitives to scale beyond transfers, but Circle Wallets gave us a solid foundation for wallets, balances, and spend control.