Today’s Web3 applications don’t just read data—they react to it. Whether you’re tracking whale transfers, detecting MEV activity, or flagging protocol risk in real time, your system depends on the ability to analyze events as they happen—and act on them immediately.
ChainStream gives you the data infrastructure to build these systems with confidence. Our Kafka-based streaming architecture captures high-frequency blockchain events, across chains, with the speed and structure needed for both instant alerts and deeper analytics. No lag. No noise. Just actionable data when and where it matters.

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What You Can Build

With ChainStream, you can go far beyond displaying token charts or historical stats. You can build products that:

Smart contract triggers

Trigger smart contract actions the moment a threshold is breached—like auto-liquidations, rate resets, or pausing a vault

User notifications

Send user alerts for events like wallet drains, NFT sales, or large inflows to a protocol

Behavior monitoring

Monitor address behavior to detect airdrop farming, MEV bots, or signs of potential exploits

Real-time classification

Classify transactions in real time, with tags for category (swap, bridge, stake), actor (CEX, whale, smart contract), or risk level

Live dashboards

Generate real-time analytics for dashboards tracking TVL shifts, protocol-specific flows, or wallet activity clusters
These systems rely on fast and structured data. ChainStream delivers both.

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Why ChainStream

Kafka at the core

Our infrastructure is built on a high-throughput Kafka architecture, supporting millions of events per second with sub-100ms delivery. Perfect for streaming large-scale transaction activity to your alert engine or analytics layer.

Full-spectrum events

Subscribe to token transfers, swaps, contract calls, NFT interactions, staking events, or liquidity movements—across Ethereum, Solana, BNB Chain, and more.

Real-time enrichment

Events come structured and labeled. Every transfer is paired with metadata like token symbol, protocol name, sender/receiver tags, and transaction context—so you don’t have to guess what happened.

Cross-chain normalization

All events follow a unified schema. You can write one logic pipeline that works across chains, with no need to handle inconsistent formats.

Queryable context

Use the GraphQL engine or On-Chain API to enrich stream events with surrounding data: historical balance changes, contract metadata, protocol stats, and more.

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Key APIs to Build With

Web3 Data Streaming Service

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Used For

Risk Monitoring Platforms

Detect large transfers, bridge activity spikes, or coordinated protocol drain attempts in real time.

Compliance and KYT Tools

Tag addresses by behavior, origin, or cluster association. Flag suspicious flows before users interact.

MEV Defense & Oracle Systems

Subscribe to mempool-adjacent activity or token price shifts and respond before settlement.

TVL & Flow Dashboards

Track liquidity changes, staking flows, or DEX volume updates without polling nodes or building your own pipeline.

User-Facing Alert Products

“Your NFT was sold,” “Your yield pool was drained,” or “Your token balance dropped 30%“—all powered by real-time, labeled events.