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Home»Analysis»Somnia unveils data feeds to power blockchain applications in real time
Analysis

Somnia unveils data feeds to power blockchain applications in real time

October 21, 2025No Comments
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New York, United States, October 21, 2025, Chainwire

(PRESS RELEASE – New York, United States, October 21, 2025)

Somnia, the high-performance Layer 1 blockchain designed for high-throughput applications, announced the upcoming deployment of Somnia Data Streams, a new infrastructure layer that fundamentally changes the way developers manage real-time data on blockchain networks.

Traditional blockchain RPCs were designed for the scale of Ethereum and lack critical features that developers building real-time applications expect. Standard approaches require external indexers to constantly query the blockchain for each call and data update, which generates significant technical overhead and costs. Somnia Data Streams solves this problem by introducing subscription-based RPCs purpose-built for high-performance reading and writing on Somnia’s network, which processes over a million transactions per second with sub-second finality.

Instead of paying indexers to query the blockchain repeatedly, applications can subscribe to the specific information they need and receive automatic updates whenever state changes occur. This low-latency subscription model eliminates redundant transactions, reduces operational costs, and enables real-time responsiveness that was not previously possible on blockchain infrastructure. The result is a development experience that more closely resembles working with modern databases like Firebase, while retaining all of the security and auditability benefits of blockchain.

Transforming prediction markets

Prediction markets have seen explosive growth recently, with platforms processing billions in volume and demonstrating massive demand for on-chain speculation beyond token trading. Despite this growth, the underlying technology remains surprisingly primitive. Today, most prediction markets rely heavily on off-chain infrastructure, with oracles fetching results from external sources and settlement occurring manually or through centralized third parties.

This limitation restricts the types of markets that platforms can offer. Complex and specific bets are difficult to support because there is no effective way to check the results and settle them instantly. In the event of a dispute, the platform must intervene and make decisions, transforming it into an intermediary that users must trust.

Somnia Data Streams enables a different approach by allowing applications to subscribe to structured event streams. This capability allows for much more sophisticated markets. Instead of simple binary outcomes, users can bet on granular in-game events, such as which player scores the next goal, which driver completes the fastest lap, or specific performance metrics over set time periods.

For racing applications, betting markets can directly leverage live timing data to track real-time performance. Once the race is completed, payments are executed automatically based on verified results. For team sports, live possession stats can instantly change betting odds based on which team is in control of the ball. As matches unfold, participants see the odds adjust in real time to reflect actual events on the field.

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

Activation of automatic insurance products

The implications of real-time prediction markets on Somnia extend far beyond sports betting and gaming. An interesting application is insurance, where payments can be triggered automatically based on verifiable events rather than lengthy claims processes.

Traditional insurance involves significant delays and costs. When a flight is delayed, a crop fails due to drought, or a natural disaster strikes, policyholders must file claims, insurers investigate, and settlements can take weeks or months. Administrative fees drive up costs, and disputes over coverage terms create friction when people need help most.

Somnia Data Streams allows insurance contracts to subscribe to event streams that track flight departures, weather data, seismic activity or any other measurable conditions. When predefined thresholds are reached, payments run automatically. A flight delayed by more than three hours gives rise to immediate compensation. Rainfall below a certain level activates crop insurance. An earthquake exceeding a specified magnitude releases disaster relief funds.

This approach eliminates the need for claims adjusters, reduces processing costs and eliminates disputes over whether an event qualifies for coverage. The data is on-chain and verifiable. The contract executes deterministically. Policyholders receive funds instantly when they need it most, with no paperwork or wait times.

This creates opportunities for new types of coverage that were not previously economically viable, including microinsurance for gig workers, event cancellation protection for small venues, and yield protection for individual farmers. The administrative costs that made these products unprofitable in traditional insurance disappear when settlement is automatic and trustless.

Availability and access

Somnia data feeds with full on-chain responsiveness will be available early next year, with subscription-based RPCs rolling out first in the coming months. Developers interested in early access can sign up to the mailing list to be notified when the SDK becomes available.

About Somnia

Somnia is the fastest and most cost-effective EVM Layer-1 blockchain, capable of processing over a million transactions per second with sub-second finality and sub-cent fees. Somnia’s performance enables real-time, fully on-chain experiences that go beyond financial applications. It’s the perfect foundation for building large-scale games, social platforms, AI-powered applications, and much more.

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