Prediction market exchange Kalshi has achieved a historic milestone by becoming the first prediction market to stream full order books via DoubleZero Edge, marking a significant advancement in institutional-grade prediction market infrastructure. As reported by DoubleZero, this integration makes Kalshi the first prediction market available through Edge and the second venue on the platform after Solana. The new feed provides traders with real-time access to Kalshi order book depth, top of book data, and trades through DoubleZero's dedicated fiber network, representing a major upgrade from the traditional public API and WebSocket feeds that traders previously relied on. The integration also represents the first time Kalshi market data has been distributed through a multicast network, bringing Wall Street-grade trading infrastructure to prediction markets. For Kalshi, which processed over $17 billion in trading volume in May 2026 alone, the goal is clear: make the platform feel less like a retail curiosity and more like a venue where serious capital can operate at speed.
The DoubleZero Edge platform uses multicast technology to publish data once and distribute it simultaneously to connected subscribers over dedicated fiber, similar to the infrastructure long used by major traditional exchanges including the NYSE, Nasdaq, and CME. According to DoubleZero, the feed provides a normalized view of the order book with no per stream cap or per request budget, representing a significant improvement over previous solutions where traders had to maintain their own order book state and manage stream limits. The platform delivers Level 1 feeds containing top of book prices and trades, as well as Level 2 feeds providing the complete order book across every price level, with data sourced directly from Kalshi and transported over the fiber network rather than through a public internet CDN path. DoubleZero Edge only delivers market data and does not provide order execution, focusing solely on providing institutional-grade market data access. The network is designed for deterministic data delivery, meaning packets arrive in predictable, low-latency fashion rather than whenever the internet feels like cooperating.
As part of the commercial arrangement, Kalshi is waiving its share of subscription revenue during the first year of the integration, with subscribers still paying for network delivery while pricing for the service is available upon request. The Kalshi rollout extends a service that first focused on blockchain data, with subscription prices for the Solana beta ranging from $30 to $100 in USDC per device and per epoch, depending on location. The waiver does not provide free access - trading firms must subscribe to DoubleZero Edge and meet its connection requirements before receiving the feed, while the companies have not disclosed the network fee charged for this specific product. Once the first year expires, Kalshi could begin receiving part of the subscription revenue under DoubleZero's standard publisher model, though the prospective percentage and whether customer prices will change remain undisclosed. The integration pipes Level 1 data (best bid and ask prices) and Level 2 data (the full depth of the order book across all price levels) directly to institutional clients, eliminating the tedious process of reconstructing order books from public APIs.
Kalshi, one of the world's two largest prediction markets alongside Polymarket, will provide its most actively traded contracts at rollout, including crypto perpetual futures and derivatives contracts allowing traders to speculate on an asset's price without an expiration date. According to the announcement, DoubleZero aims to give traders 'the complete picture of Kalshi,' providing Level 1 and Level 2 data for sports contracts and crypto perpetual futures through a dedicated fiber network. Kalshi Research supplies the published information, while DoubleZero handles its delivery to connected subscribers. Subscribers receive Top of Book and Trades information (Level 1 data) alongside Depth of Book information (Level 2 data), with Level 1 showing the best available bid and ask prices as well as completed trades, while Level 2 displays orders across several price levels. The data is delivered in a sequenced, machine-readable format that can be integrated into automated pricing, hedging and trading systems, with historical data currently absent from the first version. A 2026 SSRN paper actually documented methods for reconstructing complete Kalshi order books from the free public API, telling you two things: people wanted the data badly enough to write academic papers about it, and the existing setup was a genuine bottleneck.
Kalshi has been methodically building out infrastructure aimed at professional traders for months, supporting centralized limit order books for each event market, which means institutions can place limit orders at specific prices and execute block trades for larger positions. The company has also partnered with Talos and Tradeweb to enhance institutional trading capabilities and data analytics. Talos connects Kalshi to the existing institutional crypto trading workflow, while Tradeweb brings fixed-income market infrastructure expertise. Kalshi's binary event contracts cover a range of outcomes, from economic indicators to weather events to political races, all under CFTC oversight. The $17 billion monthly volume figure from May 2026 reflects both retail enthusiasm and growing professional participation. DoubleZero's network initially focused on delivering blockchain data, specifically Solana transaction and block data, with the kind of speed and reliability that validators and MEV searchers demand. Expanding into traditional and hybrid market data delivery is a logical move, as the same low-latency, deterministic networking that matters for blockchain data matters equally for financial market data. Detailed information on the integration of DoubleZero's Edge product remains limited as of mid-August 2026, indicating that this partnership is still in its early phases of rollout.
