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Home » Pyth and Integral Team Up to Decentralize Market Data

Pyth and Integral Team Up to Decentralize Market Data

Partnership opens the door for banks to publish real-time price feeds

Kelly Cromley by Kelly Cromley
May 8, 2025
in Market News, News
Reading Time: 2 mins read
0
Pyth Network

Pyth Network, recognized for its decentralized data feed services, has joined forces with Integral, a Silicon Valley-based currency technology provider, to reshape the flow of institutional financial data into the decentralized world. The collaboration is designed to simplify how traditional financial institutions interact with decentralized networks by enabling them to publish real-time price data without significant changes to their existing systems.

Through this partnership, Integral’s existing client base—including a range of major banks, brokerages, and cross-border payment platforms—gains the ability to act as data publishers on the Pyth Network. The integration process reportedly requires no additional setup on the clients’ part, as Integral hosts and transmits the market data on their behalf. This arrangement lowers the barrier to participation and enables institutions to contribute to the decentralized data economy with minimal effort.

Bringing Institutional-Grade Data to Open Markets

Integral’s infrastructure, already serving hundreds of institutions globally, underpins the foreign exchange (FX) operations of financial entities such as Mizuho, Raiffeisen Bank, and Pictet. By embedding its FX technology into core banking operations, Integral provides a robust data backbone that aligns well with Pyth Network’s mission to democratize access to financial information.

Historically, market data has been restricted by proprietary systems and costly subscription models, with much of it siloed within financial institutions. The new model proposed through the Pyth–Integral partnership attempts to overturn this paradigm by incentivizing data sharing. Institutions are now positioned to not only distribute their price feeds to a decentralized oracle network but also benefit from the network’s reward mechanisms. This system encourages greater participation while enhancing the overall accuracy and resilience of data feeds used by developers, traders, and decentralized applications.

Pyth Network’s model leverages the concept of a data oracle, where information from trusted sources is aggregated and verified to support smart contracts and blockchain-based applications. Each new institutional contributor enriches the network, potentially expanding coverage across a broader set of financial instruments and improving real-time accuracy.

Expansion into Africa Strengthens Use Case

Integral’s continued growth was highlighted earlier this year when Access Bank Nigeria integrated its suite of FX solutions. This deployment marked a significant move to improve the bank’s currency trading capabilities and facilitate expansion across the West African region. Access Bank reportedly utilized Integral’s offerings, including liquidity aggregation, pricing engines, and trade distribution tools, to enhance service delivery and operational efficiency.

The integration also enabled Access Bank to extend FX services to affiliated institutions by white-labeling solutions under its own brand, offering partners customized trading platforms. This flexible infrastructure underscores the value proposition Integral brings to both traditional and emerging markets.

Towards a Transparent and Inclusive Data Economy

The collaboration between Pyth and Integral signifies a broader shift in how market data is sourced, shared, and monetized. By allowing major financial players to publish directly to decentralized systems, the partnership promotes a more transparent and accessible financial ecosystem. At the same time, it helps these institutions remain relevant in a rapidly evolving digital landscape.

As decentralized finance (DeFi) continues to mature, initiatives like this are expected to play a critical role in bridging the gap between legacy finance and blockchain-based innovation. With more institutions stepping into decentralized roles, the quality and reliability of market data accessible across open networks could improve significantly.

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