The core value of blockchain technology lies in "trustlessness," but this logic hits a snag when integrating real-world data. The emergence of oracles fills this critical gap — they are like giving blockchain eyes and ears, enabling on-chain applications to perceive real-world financial data changes.

The financial landscape in 2026 is quietly shifting. Federal Reserve policy adjustments and the acceleration of digital transformation in traditional financial institutions bring new opportunities to the entire Web3 ecosystem. In this transformation, whoever can master the key link of data trustworthiness will be able to seize a multi-billion dollar track.

APRO's technical solution is worth noting. Its dual-layer architecture design is quite interesting: the L1 layer acts as a data processing factory, converting raw data into structured information using AI technology and ensuring data auditability; the L2 layer is the verification layer, minimizing data errors through consensus mechanisms. This layered design guarantees efficiency while enhancing security.

What’s more flexible is its dual transmission model. For high-frequency interaction scenarios, it adopts real-time data push for synchronization; for cost-sensitive users, it supports data pull on demand, significantly reducing gas consumption. The scenario coverage is very comprehensive.

In terms of ecosystem collaboration, progress is also rapid. Partnering with MyStonks to provide protection for US stocks and government bond data; collaborating with Nubila to develop AI-native oracles, allowing AI agents to directly respond to real market changes on-chain. Currently, over 30 public chains have been integrated, and the ecosystem expansion is quite fast.

The competition in the oracle track has just begun, but whoever can find a balance between data quality, cost efficiency, and ecosystem coverage will gain an advantage in this wave of transformation.