We architect and deploy custom Solidity and Rust smart contracts that form the backbone of your protocol. Every line of code is designed for security, gas efficiency, and upgradeability, following industry standards like OpenZeppelin and Solmate.
LABS
Services
Blockchain Indexer Sharding for High Throughput
We design and deploy horizontally sharded blockchain indexing systems that scale with high-TPS chains, delivering sub-second query latency for dApps and analytics platforms.
Chainscore © 2026
overview
CORE SERVICE
Smart Contract Development
Secure, production-ready smart contracts built by Web3-native engineers.
- Full Development Lifecycle: From specification and architecture to deployment and mainnet verification.
- Security-First: Rigorous internal audits, formal verification, and integration with tools like
SlitherandFoundry. - Protocol Standards: Expertise in
ERC-20,ERC-721,ERC-1155, and custom tokenomics. - Gas Optimization: Achieve up to 40% lower transaction costs through optimized contract logic and storage patterns.
Deploy a battle-tested, audited smart contract suite in as little as 4 weeks, reducing your time-to-market and technical risk.
key-features-cards
SCALABLE INFRASTRUCTURE
Architecture Designed for High-Volume Chains
Our sharded indexing architecture is engineered from the ground up to handle the data demands of the most active blockchains, ensuring your application never faces downtime or degraded performance.
01
Horizontal Sharding by Chain
We deploy dedicated, isolated indexer clusters for each blockchain (Ethereum, Solana, Polygon, etc.), preventing performance degradation from one chain from impacting another. This ensures consistent sub-2 second query latency regardless of network congestion.
< 2 sec
Query Latency
Zero
Cross-Chain Interference
02
Real-Time Data Streaming
Our indexers consume blocks via direct RPC connections and WebSocket streams, processing transactions and events in real-time. This eliminates the lag common with public APIs, giving your users immediate data updates.
< 1 sec
Block Processing
Real-time
Event Streaming
03
Fault-Tolerant & Auto-Healing
Each shard operates with redundant nodes and automated failover. If a primary indexer node fails, traffic is instantly rerouted to a hot standby with zero data loss, backed by a 99.9% uptime SLA.
99.9%
Uptime SLA
Auto
Failover
04
Optimized for Complex Queries
We structure indexed data in purpose-built databases (e.g., TimescaleDB for time-series, GraphQL interfaces) to handle complex joins, historical analysis, and aggregate queries that would choke standard RPC nodes.
10x
Query Speed vs RPC
Full History
Data Access
benefits
ARCHITECTED FOR ENTERPRISE
Business Outcomes: Reliable Data at Scale
Our sharded indexer infrastructure delivers predictable performance and operational resilience, enabling your product to scale without data bottlenecks.
01
Predictable Sub-Second Latency
Guaranteed query response times under 500ms, even during peak network congestion. Eliminate user-facing delays and ensure a seamless application experience.
< 500ms
P95 Query Latency
99.9%
SLA
02
Zero Data Loss Architecture
Fault-tolerant sharding with automatic failover and real-time data replication. Your historical and real-time blockchain data remains consistent and fully recoverable.
100%
Data Integrity
< 30s
RPO
03
Linear Cost Scaling
Infrastructure costs scale predictably with your transaction volume. Avoid exponential cloud bills and maintain a healthy unit economics as you grow.
1:1
Cost-to-Volume Ratio
Predictable
Monthly Spend
04
Multi-Chain Consistency
Unified data schema and query interface across Ethereum, Solana, Polygon, and other L2s. Build cross-chain features without managing disparate data pipelines.
10+
Supported Chains
Single API
Integration Point
05
Developer Velocity
Production-ready GraphQL endpoints and comprehensive SDKs. Your engineering team can integrate and ship new data-driven features in days, not months.
< 1 week
Integration Time
24/7
Dev Support
06
Enterprise-Grade Security & Compliance
SOC 2 Type II compliant infrastructure with role-based access controls, audit logging, and data encryption at rest and in transit.
SOC 2
Compliance
Zero Trust
Access Model
Why Sharding is Essential for Scale
Sharded vs. Traditional Indexer: A Performance Comparison
A direct comparison of performance, scalability, and cost between a monolithic indexer and a sharded architecture for high-throughput applications.
| Architecture & Performance | Traditional Monolithic Indexer | Chainscore Sharded Indexer |
|---|---|---|
Peak Query Throughput (QPS) | ~500 QPS | 10,000+ QPS |
Latency Under Load (p95) |
| < 200ms |
Horizontal Scalability | Limited (vertical only) | Linear (add shards) |
Multi-Chain Synchronization | Sequential, slow | Parallel, real-time |
Cost to Scale 10x | $50K+ (new hardware) | $5K (add shard capacity) |
Time to Add New Chain | 4-8 weeks | < 1 week |
Data Consistency Guarantee | Eventual | Strong, with leader election |
Typical Uptime SLA | 99.5% | 99.9% |
Recommended For | Prototypes, low-volume dApps | Exchanges, DeFi protocols, NFT marketplaces |
how-we-deliver
PREDICTABLE, TRANSPARENT EXECUTION
Our Delivery Process: From Design to Deployment
We deliver production-ready, sharded blockchain indexers through a structured, milestone-driven process. This ensures predictable timelines, clear communication, and infrastructure that scales with your transaction volume.
01
Phase 1: Architecture & Shard Design
We analyze your target chain (e.g., Ethereum, Solana, Polygon) and transaction patterns to design an optimal sharding strategy. This includes defining shard keys (by address, contract, block range), replication factors, and cross-shard query logic.
1-2 weeks
Design Sprint
> 10k TPS
Target Throughput
02
Phase 2: Core Indexer Development
We build the ingestion pipeline and shard managers using battle-tested frameworks (The Graph, Subsquid, or custom Rust/Go). Includes real-time block processing, event filtering, and data normalization for your specific use case.
2-3 weeks
Development Time
< 2 sec
Ingestion Latency
03
Phase 3: Scalability & Load Testing
We simulate peak load (10x your expected volume) to validate shard performance, identify bottlenecks, and tune database configurations (PostgreSQL, TimescaleDB). Ensures linear scalability before deployment.
99.9% SLA
Uptime Target
Auto-scaling
Shard Management
04
Phase 4: Security Hardening & Audit
We implement security best practices: role-based access for shard nodes, encrypted inter-shard communication, and comprehensive audit logging. Optional formal audit by partners like Quantstamp.
SOC 2 Type II
Compliance
Zero Trust
Network Model
05
Phase 5: Staging Deployment & Validation
We deploy the complete sharded system to a staging environment mirroring production. We run full historical syncs and validate query accuracy and performance against your application's requirements.
Full Sync
Data Integrity Check
< 100ms
P95 Query Time
06
Phase 6: Production Launch & Monitoring
We manage the production rollout with zero-downtime shard deployment. We provide a custom Grafana dashboard for real-time monitoring of shard health, query load, and automatic alerting.
24/7 SRE
Support
2 weeks
Handover Period
Technical Deep Dive
Blockchain Indexer Sharding: Frequently Asked Questions
Get clear, technical answers to the most common questions CTOs and engineering leads ask when evaluating a sharded indexer solution for scaling blockchain data access.
A production-ready, sharded blockchain indexer can be deployed in 2-4 weeks from project kickoff. This includes architecture design, environment provisioning, data shard configuration, and initial sync. For complex multi-chain setups or custom data transformation logic, the timeline extends to 6-8 weeks. We provide a detailed project plan within the first 3 days of engagement.
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