Dynamic Content Streaming Services

Sub-second indexing of on-chain events and state changes. We deliver live data streams via WebSockets and Server-Sent Events (SSE) for instant UI updates and responsive user experiences.

Unified API for streaming data from Ethereum, Solana, Polygon, and other major L1/L2 networks. Normalize and structure data from disparate chains into a single, consistent feed.

Build bespoke ETL pipelines that filter, transform, and enrich raw blockchain data. Create tailored streams for DeFi analytics, NFT metadata, governance events, or custom smart contract logic.

Enterprise-grade publish-subscribe architecture built on cloud-native technologies. Auto-scales to handle millions of concurrent connections and event-driven data delivery.

Seamlessly backfill historical on-chain data into your streams. Replay past events from any block height to bootstrap new services or recover state after downtime.

Infrastructure built with SOC 2 principles. End-to-end encryption, role-based access control (RBAC), and comprehensive audit logging ensure your data streams meet enterprise security standards.

Integrate live on-chain data (prices, balances, NFT metadata) into your dApp UI with sub-second latency. Eliminate stale data and polling inefficiencies.

Reduce user transaction costs by up to 40% with our optimized update batching and state management, delivering only the data that has changed.

Handle spikes in user activity and NFT mints without performance degradation. Our system scales horizontally based on your real-time load.

Deploy a production-ready dynamic content layer in 2-3 weeks, not months. We provide pre-built connectors for major chains (Ethereum, Solana, Polygon).

All data pipelines and update mechanisms are built with OpenZeppelin patterns and undergo internal security review. No single point of failure.

Free your engineering team from building and maintaining complex data indexing and streaming logic. Focus on core product features instead.

We conduct a technical deep-dive to define your data schema, indexing strategy, and real-time update requirements. This phase establishes the foundation for a scalable, cost-efficient streaming pipeline.

Our engineers build and audit the on-chain logic for event emission and access control. We use OpenZeppelin libraries and follow Consensys best practices for security and gas optimization.

We deploy a custom The Graph subgraph or proprietary indexer to ingest and structure on-chain data. This is paired with a low-latency GraphQL/REST API for client applications.

Implementation of WebSocket or Server-Sent Events (SSE) endpoints for live data feeds. We ensure sub-second propagation of on-chain state changes to your frontend.

Comprehensive review of the entire data pipeline, including indexer logic, API endpoints, and streaming infrastructure. We provide a detailed report with remediation guidance.

We deploy the complete solution to your infrastructure (AWS, GCP) or ours, provide full documentation, and conduct knowledge transfer sessions with your engineering team.