APRO's newest achievement isn't about how many people it can reach, but how dependable it is. The company wants to ensure users can trust APRO to follow through on its commitments. This milestone is significant because it highlights APRO's focus on reliability.
APRO now operates on over 15 blockchains and maintains more than 160 active price feeds. While these numbers might seem abstract, they are crucial for developers building on these blockchains.
APRO provides detailed information about its data service, stating it supports 161 distinct price feeds across 15 major blockchain networks.
These price feeds function through two methods: Data Push and Data Pull.
APRO's presence on numerous blockchains with a large number of price feeds expands the capabilities and safe expectations for developers.
Essentially, APRO isn't aiming to exist in a fragmented multi-chain world. It seeks to be a practical tool within it. The value of APRO's oracle infrastructure isn't measured by accolades, but by its performance: timely feed updates, accurate contract readings, effective app integration, successful liquidations, consistent vault rebalancing, and reliable risk engine operation. APRO's purpose is to be useful in this interconnected blockchain environment, and that's what truly matters.
A multi-chain oracle network proves its worth when it can provide consistent answers to the same questions across multiple platforms. For instance, the price of Bitcoin is a common query. Modern decentralized finance (DeFi) applications frequently ask this question, not just once, but repeatedly, across different blockchains. Each chain has associated fees, and users have varying expectations regarding response times, with some prioritizing immediate answers while others accept minor delays. These chains also have unique tools and security considerations. As applications expand to new Layer 2 solutions, connect liquidity, or run strategies across different networks, the data layer transforms from a simple dependency into a limiting factor. It shifts from being a component of an application's needs to fundamentally shaping its design, akin to a Layer 2 solution or a network itself. This transition occurs the moment an application crosses a threshold, such as deploying on a Layer 2, bridging liquidity, or executing strategies across networks.
This is where APRO's architecture becomes vital. APRO's documentation outlines two methods for data delivery, designed to work in concert for effective data provision.
In systems where participants manage their own segments, they actively monitor market activity. Adjustments to records are made based on specific events or at predetermined intervals to ensure information remains current without altering the primary record. This is the essence of the push-based model, which maintains up-to-date data.
In systems where applications retrieve data upon request, this approach is particularly beneficial for applications that require data intermittently or in brief bursts. It is also advantageous when applications or their governing logic dictate the timing of data retrieval.
This duality, while seemingly technical, addresses a fundamental daily challenge for developers: should data be readily available at all times, or only when requested? Various products cater to these different needs. For example, lending and borrowing platforms often require constant data availability. Conversely, some specialized products, systems seeking quotes, or application-specific logic may prefer on-demand data retrieval. Offering both methods within a single system is not merely about providing more options. Developers are increasingly recognizing that the oracle layer's utility is not universal. It's not a one-size-fits-all solution. The oracle layer's function varies for each individual user.
The detail of having over 160 feeds is significant for another reason. It demonstrates the system's capacity to manage a wide array of markets, not just a select few. This broad coverage is what makes an oracle truly valuable. It's not just about displaying prices; it's about facilitating risk management. A larger number of feeds enables functionalities such as supporting diverse collateral types, creating varied vault structures, and refining liquidation parameters. It even allows for the creation of on-chain indexes. At this stage, the focus shifts from building for a single market to actively contributing to market design. The 160+ active feeds are the foundation for these capabilities, providing the necessary scope.
The interconnectedness of system components can be observed in practice. For instance, Rootstock's developer website showcases APRO-supported feeds on its mainnet, including those for Bitcoin and major assets. This indicates that these feeds are actively used by real applications, not just presented in documentation.
Rootstock
For those looking beyond DeFi into areas like Real World Assets, prediction markets, and autonomous automation, this expansion gains further importance.
Prediction markets function as settlement mechanisms that require timely, consistent, and tamper-proof data at the point of outcome determination.
Institutional and regulated funds require transparent tracking of their assets and predictable outcomes.
Systems employing Artificial Intelligence go beyond mere data consumption; they act upon it.
The greater an entity's autonomy, the more critical a flawless data system becomes.
Real World Assets and prediction markets depend on such data systems for proper functioning.
Autonomous systems require timely and consistent data to make sound decisions.
This also explains why APRO's funding strategy centers on developing enhanced systems for critical applications like prediction markets.
Partnerships focused on distribution, such as wallet integrations, signify growing maturity.
The objective extends beyond encouraging development with APRO to fostering user adoption of its data in a seamless manner.
This does not imply that every chain will instantly become liquid or that every feed will function in all scenarios. The work of oracles is inherently complex. Scaling to fifteen or more networks and over one hundred sixty feeds transforms the conversation. It elevates APRO from being a simple oracle to a foundational infrastructure available for use. Availability fosters new outcomes, including increased adoption, greater interoperability, and the reuse of data across protocols, reducing the need for individual development.
In a market that often prioritizes speed over foundational infrastructure, such milestones can be easily overlooked. However, developers recognize their importance because protocol failures, when they occur, typically happen at critical junctures: liquidations, pricing, settlement, and cross-chain assumptions. While expanding chain support and live feeds does not guarantee absolute security, it significantly increases the likelihood that teams can deploy their protocols without treating the data layer as a bespoke research project each time they scale.
