Proprietary Dataset On-Chain Indexing

We build custom connectors to ingest data from your proprietary APIs, databases, and off-chain systems. Our pipelines handle schema validation, deduplication, and real-time streaming to ensure data integrity from the source.

Your sensitive business logic runs in our secure, audited compute layer. We implement verifiable computation patterns (like commit-reveal) to prepare data for on-chain settlement without exposing proprietary algorithms.

We deploy and manage optimized indexer nodes (The Graph, Subsquid, or custom) to make your processed data queryable via GraphQL. Includes automated smart contract updates for real-time data feeds.

Gain full visibility into your data pipeline's health. Monitor ingestion rates, computation integrity, on-chain confirmation status, and query performance with configurable alerts for SLA breaches.

Skip the 6-12 months of infrastructure development. We deliver a production-ready, indexed data layer in under 4 weeks, allowing your team to focus on core application logic and user experience.

Move beyond basic RPC calls. Our proprietary indexing captures 100% of on-chain events with sub-second latency, ensuring your application logic executes on a complete and real-time dataset, eliminating missed opportunities.

Eliminate the need for a dedicated data engineering team and the ongoing cost of managing nodes, indexers, and data pipelines. Convert a significant CapEx into a predictable, scalable OpEx.

Power advanced features like real-time risk scoring, personalized yield recommendations, and on-chain analytics dashboards that you can monetize directly or use to increase user retention and trading volume.

Designed to handle from 1k to 1M+ TPS without re-architecting. Our infrastructure automatically scales with your user base, ensuring consistent performance during market volatility and product launches.

We analyze your data model and blockchain sources to design a custom indexing architecture. This phase defines the data schema, indexing logic, and performance SLAs, ensuring the solution aligns with your business logic from day one.

Our engineers build the proprietary indexing engine using Rust or Go for high-throughput data ingestion. We implement custom event handlers, state transition logic, and real-time data validation specific to your dataset.

We deploy the indexing pipeline and expose data via a dedicated GraphQL or REST API. Includes integration with your existing data stack (databases, analytics tools) and comprehensive documentation for your development team.

Post-launch, we provide 24/7 performance monitoring, alerting, and ongoing optimization. We handle chain reorganizations, schema migrations, and scale the infrastructure as your data volume grows.