MegaETH Now Live on Covalent

What’s Live

MegaETH is built around a simple but deliberate architectural decision: prioritize execution speed first, and move consensus and verification off the critical path. Instead of gating execution behind validator coordination and block agreement, MegaETH executes transactions immediately through a high-performance sequencer, streams results in real time, and relies on Ethereum for settlement and dispute resolution after execution has already occurred. This execution-first model shifts the system from a block-based pipeline to a streaming execution environment, enabling applications to react in milliseconds rather than waiting for block boundaries.

Covalent is now live on MegaETH, supporting this execution-first architecture through GoldRush’s Foundational API runs a public, adversarial stress test on mainnet. Ultra-fast Streaming API for MegaETH is coming soon.

MegaETH - Stream First Ask Questions Later

Most high-performance blockchains still optimize within a block-centric model, improving throughput by shortening block times, parallelizing execution, or tuning consensus pipelines. MegaETH takes a different approach by changing the model itself. Execution is continuous rather than batched, blocks act as checkpoints instead of interaction boundaries, and consensus is enforced asynchronously via Ethereum rather than coordinating execution in real time.

Because a single sequencer is responsible for ordering and execution, MegaETH can aggressively parallelize transaction execution without the coordination overhead typically required between validators. State is maintained in memory on the execution path, while replicas and provers verify correctness asynchronously and anchor disputes to Ethereum. This decouples execution performance from verification, allowing MegaETH to sustain real-time responsiveness without abandoning Ethereum’s trust model.

MegaETH is currently validating this design through a live stress test on mainnet, intentionally exposing the network to sustained load rather than controlled benchmarks. During this test, the network has processed billions of transactions while maintaining high, continuous transaction throughput, with execution data, system health, latency, and gas metrics published publicly in real time.

Covalent is participating in this stress test by ingesting the full execution stream as it is produced, capturing transactions, receipts, state changes, and execution events under live conditions. This environment allows Covalent to validate that execution-first systems can still produce canonical, replayable, and verifiable data even when execution never pauses and consensus finalizes later.

Available Today

MegaETH data is now available via GoldRush’s Foundational API, enabling teams to query transactions, execution data, and historical activity from the ongoing stress test using a stable, production-ready schema. This allows developers, analysts, and institutions to build dashboards, monitoring systems, and analytics pipelines on top of MegaETH without managing raw execution ingestion themselves.

Support for GoldRush Streaming on MegaETH is also soon to be live, delivering sub-second access to execution data as it is produced. As execution-first architectures continue to emerge, streaming data becomes the interface between real-time execution and production systems, enabling applications, agents, and automated workflows to operate at the pace of onchain execution.