We architect, develop, and audit custom Solidity/Rust smart contracts for DeFi, NFTs, and enterprise protocols. Our focus is on security-first development with formal verification and comprehensive test suites to prevent exploits before deployment.
LABS
Services
L2 Testnet Stress Testing & Load Simulation
Execute controlled, large-scale stress tests on your Layer 2 testnet. We deploy custom transaction generators to benchmark real-world TPS, identify network bottlenecks, and validate scalability claims before mainnet launch.
Chainscore © 2026
overview
SECURE FOUNDATIONS
Custom Smart Contract Development
Production-ready smart contracts built with enterprise-grade security and gas optimization.
Deliver a secure, audited, and gas-optimized contract suite in as little as 2-4 weeks.
- Protocol Development: Custom DEXs, lending/borrowing platforms, staking systems, and multi-signature wallets.
- Token Standards: Full
ERC-20,ERC-721,ERC-1155, and custom tokenomics implementation. - Security & Audits: Integration with OpenZeppelin libraries, internal audits, and preparation for third-party review.
key-features-cards
PROVEN METHODOLOGY
Our Stress Testing Capabilities
We simulate real-world traffic and attack vectors to expose critical bottlenecks before your L2 mainnet launch, ensuring stability under peak load.
01
High-Volume Transaction Load
Simulate millions of transactions per second (TPS) to validate your sequencer's capacity and mempool handling, preventing network congestion at launch.
1M+
TPS Simulated
> 99%
Success Rate Target
02
State Growth & Storage Stress
Test the long-term impact of rapid state expansion on your node's storage layer and archive node requirements, preventing future performance degradation.
TB-scale
State Growth
< 100ms
Proof Generation
03
Adversarial Network Conditions
Introduce packet loss, latency spikes, and peer disconnections to test your P2P layer's resilience and fork choice rule stability under unreliable conditions.
50%
Packet Loss Simulated
0
Finality Failures
04
Economic & MEV Attack Vectors
Model sophisticated MEV strategies, spam attacks, and gas price wars to validate your fee market and proposer-builder separation (PBS) economics.
100+
Attack Scenarios
Full Audit
Report Delivered
05
Cross-Chain Bridge & Messaging Load
Stress-test your canonical bridges, third-party bridges, and L1<>L2 messaging queues to guarantee asset security and message finality during market volatility.
10k/sec
Bridge Messages
100%
Delivery Verification
06
RPC & API Endpoint Stability
Flood your JSON-RPC endpoints with concurrent requests to identify bottlenecks in transaction submission, block fetching, and trace calls for dApp developers.
10k
Concurrent Users
< 2s
P95 Latency
benefits
PROVEN METHODOLOGY
Why Stress Test with Chainscore
Move beyond basic unit tests. Our load simulation uncovers critical bottlenecks in transaction ordering, sequencer performance, and state growth before your mainnet launch.
01
Realistic Transaction Loads
We simulate real-world user behavior—not just spam—with complex multi-step interactions (swaps, bridges, NFT mints) to test your L2's sequencer and mempool under authentic pressure.
10k+
TPS Simulated
50+
Tx Types
02
Infrastructure Bottleneck Detection
Identify hidden failures in RPC nodes, database indexing, and archival services under sustained load. We pinpoint the exact component causing latency spikes or downtime.
< 100ms
Latency Pinpoint
5-Layer
Stack Analysis
03
Gas & Fee Market Analysis
Stress test your fee model's stability. We model extreme congestion to see if your L1 settlement costs or L2 priority fees break under volatile network conditions.
95%
Cost Predictability
100x
Load Spikes
Infrastructure Investment Analysis
Build vs. Buy: In-House Testing vs. Chainscore Service
A detailed comparison of the resource investment, risk, and time required to build and maintain a production-grade L2 testnet load simulation framework versus leveraging Chainscore's managed service.
| Factor | Build In-House | Chainscore Managed Service |
|---|---|---|
Time to Initial Deployment | 4-6 months | 2-4 weeks |
Upfront Development Cost | $150K - $300K+ | $25K - $75K |
Annual Maintenance & DevOps | $80K - $150K | Included in SLA |
Protocol & Client Coverage | Limited to 1-2 (e.g., OP Stack) | OP Stack, Arbitrum Nitro, zkSync, Polygon CDK, Base |
Realistic Load Simulation | Basic scripts, limited edge cases | Sophisticated models for MEV, spam, congestion, flash crashes |
Performance Benchmarking | Manual analysis, custom dashboards | Automated reports with P95 latency, TPS under load, gas efficiency |
Security & Audit Trail | Your responsibility | Immutable logs, compliance-ready reports, vulnerability flagging |
Expertise Required | Senior DevOps + Protocol Specialist | Provided by our team (included) |
Scalability for Growth | Requires re-architecting | Elastic infrastructure, automatic scaling |
Total Cost of Ownership (Year 1) | $230K - $450K+ | $50K - $150K |
how-we-deliver
PROVEN PROCESS
Our 4-Phase Testing Methodology
A systematic, battle-tested approach to ensure your Layer 2 network is ready for mainnet traffic and real-world adversarial conditions. We don't just run scripts; we simulate production loads to uncover hidden bottlenecks.
01
Phase 1: Baseline & Capacity Analysis
We establish performance benchmarks by simulating standard user loads to measure your L2's baseline TPS, block time, and gas throughput under normal conditions. This identifies the initial performance ceiling and resource utilization patterns.
Baseline TPS
Measured
Gas Efficiency
Profiled
02
Phase 2: Targeted Load & Stress Testing
We apply sustained, high-volume transaction loads targeting specific components (sequencer, prover, data availability layer) to identify breaking points, memory leaks, and concurrency issues before they impact users.
Peak Load
Simulated
Breaking Point
Identified
03
Phase 3: Adversarial & Chaos Engineering
We simulate real-world attack vectors and network instability: spam attacks, MEV bot floods, RPC endpoint saturation, and sequencer failovers. This tests your network's resilience and security under duress.
Attack Vectors
Simulated
Failover Time
Validated
04
Phase 4: Production Simulation & Reporting
We run a final, prolonged simulation mimicking projected mainnet traffic patterns. You receive a detailed report with actionable insights, performance graphs, and specific recommendations for optimization and scaling.
Actionable Report
Delivered
Performance Graphs
Included
Technical & Commercial Details
L2 Stress Testing FAQs
Answers to the most common questions from CTOs and engineering leads about our stress testing methodology, timelines, and deliverables.
A complete end-to-end stress test, from scoping to final report, typically takes 2-3 weeks. This includes 1 week for environment setup and custom script development, 1-2 weeks for iterative load simulation and bottleneck identification, and 3 days for analysis and report generation. We provide a detailed project plan with milestones at kickoff.
ENQUIRY
Get In Touch
today.
Our experts will offer a free quote and a 30min call to discuss your project.
NDA Protected
Confidentiality24h Response
Time to ValueDirectly to Engineering Team
No Sales Fluff10+
Protocols Shipped
$20M+
TVL Overall