axionax unifies Execution, PoPC Validation, Data Availability, and Settlement with ML-powered auto-selection and fraud detection for next-generation decentralized compute markets.
Testnet Deployment: 78% Complete (7/9 Services Operational)
â Live: RPC (8545/8546), PostgreSQL, Redis, Nginx/SSL, Grafana, Prometheus, Web Interface
ð§ Debugging: Explorer API (3001), Faucet API (3002)
VPS: vmi2895217 (217.216.109.5) âĒ Chain ID: 86137 âĒ Network: axionax-testnet-1
Status Dashboard: INFRASTRUCTURE_STATUS.md
Join our public testnet and start building on axionax today!
Real-world performance metrics from our v1.6 implementation
Average time to process and validate a block
VRF operations per second (2x target)
Consensus operations per second (43x target)
Less memory usage compared to Go implementation
JSON-RPC requests per second sustained
P2P message propagation (gossipsub)
Proof-of-Probabilistic-Checking enables scalable validation through statistical sampling with O(s) verification cost and fraud-proof security guarantees.
ML-powered worker assignment with fairness guarantees, VRF-weighted selection, and quota management for optimal resource allocation.
Posted Price Controller adjusts pricing based on real-time utilization, queue length, and market conditions for efficient resource markets.
ML-based anomaly detection using Isolation Forest for fraud prevention, risk scoring, and continuous security monitoring.
Rust core delivers 3x faster execution than Go, with Python ML layer for AI/ML workloads and TypeScript SDK for easy integration.
Community-driven parameter tuning, protocol upgrades, and transparent decision-making for sustainable decentralization.
axionax v1.6 leverages the best of each language: Rust for performance-critical consensus, Python for ML/AI workloads, and TypeScript for developer experience.
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curl -sSL https://raw.githubusercontent.com/axionaxprotocol/axionax-core/main/scripts/install_dependencies_macos.sh | bashmacOS 10.15+, M1/M2/M3 & Intel
# 1. Clone repository
git clone https://github.com/axionaxprotocol/axionax-core.git
cd axionax-core
# 2. Build Rust core (consensus, blockchain, crypto, network, state, RPC)
cargo build --release --workspace
# 3. Build Rust-Python bridge
cd bridge/rust-python && ./build.sh && cd ../..
# 4. Install Python ML dependencies
pip install -r deai/requirements.txt
# 5. Build TypeScript SDK
cd sdk && npm install && npm run build && cd ..
# 6. Run integration tests
python3 tests/integration_simple.py
# â
All 20/20 tests should pass!âĻ What gets installed: Rust, Node.js, Python, Docker, PostgreSQL, Nginx, Redis, and all build tools
axionax unifies all four critical blockchain layers into a single, cohesive protocol designed for high-performance decentralized compute.
Worker nodes execute compute jobs with proof generation
Probabilistic checking of execution proofs via VRF sampling
Erasure coding ensures data can be reconstructed from any subset
Final state commitment and economic settlement on L1
Comparing axionax with other decentralized compute protocols
| Feature | axionax | Traditional Rollups | Other L1s |
|---|---|---|---|
| Validation Method | â PoPC (Probabilistic) | Fraud/Validity Proofs | Full Re-execution |
| Verification Cost | â O(s) samples | O(n) or O(log n) | O(n) full replay |
| Worker Selection | â ML-powered ASR | First-come-first-serve | Random/Manual |
| Dynamic Pricing | â Posted Price Controller | Fixed gas prices | Market-based |
| AI/ML Security | â DeAI Sentinel | Rule-based only | Limited |
| Data Availability | â Native DA Layer | External DA (Celestia, etc) | On-chain only |
| Performance | â 10K+ TPS target | 100-1000 TPS | 1K-5K TPS |
| Language Support | â Rust + Python + TS | Single language | Single language |
Our journey from testnet to mainnet and beyond
Multi-language architecture complete with Rust core, Python ML layer, and TypeScript SDK. All 20 tests passing.
Public testnet with 50+ validators and 100+ worker nodes
Data Availability optimization and security audits
Production mainnet with full security guarantees
axionax uniquely combines PoPC consensus (probabilistic validation with O(s) cost), ML-powered ASR for fair worker selection, and native DeAI security. We're specifically optimized for decentralized compute markets, not generic smart contracts.
Instead of re-executing all computations (expensive), PoPC uses VRF to randomly sample a small subset of proofs for verification. This provides probabilistic security guarantees while dramatically reducing verification costs to O(s) where s << n.
ASR is our ML-powered system that automatically selects the best workers for each job based on suitability score, performance history, and fairness quotas. It uses Îĩ-greedy exploration and VRF weighting to prevent centralization.
DeAI Sentinel uses Isolation Forest (unsupervised ML) to detect anomalous proof patterns in real-time. It analyzes proof size, timing, merkle depth, and historical patterns to flag suspicious workers before they can cause damage.
Our Posted Price Controller dynamically adjusts prices based on real-time utilization and queue length. When demand is high, prices increase to incentivize more workers. When supply exceeds demand, prices decrease to attract more jobs.
Each language excels at different tasks: Rust provides blazing-fast performance (3x faster than Go) for consensus and networking. Python offers rich ML libraries for ASR and fraud detection. TypeScript ensures great developer experience for SDKs and dApps.
Mainnet is planned for Q3-Q4 2026 after thorough testnet validation, security audits, and community testing. We're currently in v1.6 development with testnet launch scheduled for Q1 2026.
The testnet (Chain ID: 86137) is for testing only. DO NOT send real funds. Any network claiming to be "axionax Mainnet" is a scam. Only use testnet tokens for development and testing purposes.
Be part of building the future of decentralized compute
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ð Coming SoonContribute to the codebase, report issues, and submit pull requests
â Open SourceFollow for updates, announcements, and ecosystem news
ð Coming SoonReal-time chat with the community and core team
ð Coming SoonIn-depth discussions on governance, proposals, and research
ð Coming SoonTechnical deep-dives, tutorials, and ecosystem updates
ð Coming SoonComplete API documentation for all modules, RPC methods, and client SDKs.
Step-by-step instructions for building and deploying axionax nodes.
Connect to the axionax testnet and start validating transactions.
Full node setup with Network, State, and RPC integration guide.
RocksDB state management and JSON-RPC 2.0 server documentation.
Deep dive into PoPC consensus, ASR, PPC, and DeAI security design.
Get started with axionax in 5 minutes - beginner-friendly tutorial.