Dune Launches Real-Time Market Data Feeds for Onchain
Trading desks can now access 590-millisecond delivery for perpetual trades across 12 chains.
Updated on Oct. 23, 2026 in Economic Indicators
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Dune has launched its Market Data Feeds service to provide real-time pricing for decentralized finance participants. The platform covers more than 200 venues across 12 chains, supporting $9 billion in daily perpetual-trading volume.
Why it matters
Operators in decentralized finance require precise, low-latency data to maintain pricing integrity and manage risk across fragmented liquidity venues. This service standardizes data delivery for trades that require reliable marking in volatile market conditions.
The new feed tracks over 200 decentralized venues across 12 chains with $9 billion in daily perpetual-trading coverage. The service achieves 95th-percentile delivery times of 1.34 seconds for spot trades and 590 milliseconds for perpetual trades.
The players
Dune
A blockchain analytics firm that provides data infrastructure and tools for onchain market research and trading.
The details
The service utilizes WebSockets for live trade delivery and a REST API for reference data, automatically issuing corrected records if chain reorganizations alter block data. To ensure data quality, individual pools must meet specific liquidity, pricing-integrity, and venue-registration thresholds. If a trade lacks a reliable price mark, the system labels it as unpriced and provides a documented reason for the omission.
Timeline
The Dune Market Data Feeds service went live on October 22, 2026.
Market Landscape
The deployment follows the industry trend of migrating decentralized trade data from raw query models to standardized REST API architectures. This shift mirrors the professionalization of crypto-native infrastructure, aiming to align decentralized venue metrics with traditional market data delivery speeds.
Firms utilizing these feeds should update their integration protocols to account for the service's automatic labeling of unpriced trades. Operators should monitor how the integration of the upcoming BNB Chain historical data affects their existing internal pricing models.
The takeaway
Reliable data marking is the primary bottleneck for onchain trading efficiency. Ensure your risk management systems are configured to interpret the unpriced-labeling logic from Dune to prevent downstream calculation errors.
Further reading
For broader trends in financial transparency, see our Economic Indicators section.
Source note: This article includes information reported by TokenPost.
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Do you trust the accuracy of real-time market data provided by decentralized crypto trading platforms?
