Somnia Launches Data Streams to Enhance Real-Time Blockchain Applications
Blockchain/Press Release

Somnia Launches Data Streams to Enhance Real-Time Blockchain Applications

Somnia, a leading Layer 1 blockchain, introduces a transformative infrastructure called Somnia Data Streams, aiming to revolutionize real-time data management in blockchain applications.

[PRESS RELEASE – New York, United States, October 21st, 2025]

Somnia, a high-performance Layer 1 blockchain designed for high-throughput applications, announces the imminent release of Somnia Data Streams, an innovative infrastructure layer that significantly modifies the way developers manage real-time data on blockchain networks.

Traditional blockchain RPCs were designed with Ethereum’s limitations and lack essential features that developers require for real-time applications. Standard methods necessitate using external indexers to continuously poll the blockchain for every data request and update, leading to high technical overhead and costs. Somnia Data Streams counters this with subscription-based RPCs specifically tailored for efficient reading and writing on Somnia’s network, capable of processing over 1 million transactions per second with immediate finality.

Instead of incurring costs by having indexers repeatedly query the blockchain, applications can subscribe to the information they require and receive automatic updates when state changes happen. This low-latency subscription method removes unnecessary transactions, minimizes operational expenses, and allows for real-time reactivity that was previously unattainable with blockchain systems. This enhances the development experience to resemble working with contemporary databases like Firebase, while preserving the security and verifiability of blockchain technology.

Transforming Prediction Markets

Prediction markets have recently seen significant growth, with platforms processing billions in volume and demonstrating strong demand for on-chain speculation beyond mere token trading. However, the underlying technology remains relatively underdeveloped. Most current prediction markets heavily rely on off-chain systems, with oracles retrieving outcomes from external sources while settlements are done manually or via centralized parties.

This limitation restricts the variety of markets that can be offered, as complex and specific bets are difficult to support due to the lack of efficient outcome verification and immediate settlement. When disputes arise, platforms become middlemen who must make trust-based decisions.

Somnia Data Streams enables a different model, allowing applications to subscribe to structured event streams. This functionality supports much more intricate markets. Users can place wagers on detailed in-game events such as the next player to score, which driver completes the fastest lap, or specific performance metrics over set periods.

In racing applications, betting markets can directly utilize live timing data to monitor performance in real-time. Once the race concludes, payouts happen automatically based on verified results. In team sports, live possession stats can instantly alter betting odds depending on which team holds control. As games progress, participants see odds dynamically adjust to reflect real events occurring on the field.

This model can be expanded to any domain where structured event data exists on-chain, including esports matches, financial instrument movements, governance proposal outcomes, and AI model performance metrics. If the data flows through Somnia, a prediction market can be structured around it.

Enabling Automatic Insurance Products

The implications of real-time prediction markets on Somnia extend beyond sports betting and gaming, with a significant application in insurance. Here, payouts can be automatically triggered based on verifiable events, eliminating lengthy claims processes.

Traditional insurance often involves significant delays and expenses. For instance, delays in flights, crop failures due to drought, or natural disasters require policyholders to file claims, which undergo investigation by insurers, with settlements taking weeks or months. Administrative overhead raises costs, and disputes over coverage terms cause friction in critical situations.

Somnia Data Streams allows insurance contracts to subscribe to event streams that monitor flight departures, weather data, seismic activity, or any measurable phenomena. Once specific thresholds are met, payouts initiate automatically. For example, a flight delayed by over three hours results in immediate compensation, while rainfall below certain levels activates crop insurance claims. An earthquake surpassing a predetermined magnitude could release disaster relief funds instantly.

This methodology eliminates the necessity for claims adjusters, reduces processing costs, and removes disputes regarding event coverage qualification. The data is verifiable and exists on-chain. The contract executes deterministically. Policyholders receive funds immediately when needed, without arduous paperwork or waiting time.

This creates opportunities for new coverage types that were previously economically unfeasible, including microinsurance for gig workers, event cancellation protection for small venues, and yield protection for individual farmers. The administrative costs that previously rendered these products unprofitable vanish when settlements are automated and trustless.

Availability and Access

Somnia Data Streams featuring full on-chain reactivity will be accessible early next year, with subscription RPCs debuting in the upcoming months. Developers keen on gaining early access can join the mailing list to receive notifications when the SDK is ready.

About Somnia

Somnia is the fastest and most cost-effective EVM Layer-1 blockchain, capable of processing over 1 million transactions per second with sub-second finality and minimal fees. Somnia’s speed allows real-time, fully on-chain experiences that reach beyond just financial applications. It is the optimal foundation for developing large-scale games, social platforms, AI-driven applications, and much more.

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