CoinTrust

Moonberg Unveils Platform to Standardize Blockchain Data

Moonberg

Swiss-based company Moonberg has launched a new data intelligence platform designed to unify blockchain data and support the growth of tokenized finance. The firm stated that the tool addresses one of the industry’s most pressing challenges—severe fragmentation of on-chain data caused by diverse private initiatives and differing development approaches.

Moonberg explained that the rapid evolution of blockchain, alongside growing institutional involvement, has resulted in an environment where essential data is dispersed, inconsistent, and often inaccessible. The company emphasized that tokenized finance cannot scale effectively without a standardized layer to organize this information.

The scale of the challenge

Industry projections highlight the urgency of solving this issue. According to Moonberg, the blockchain sector is expected to expand from $3.13 billion in 2024 to $1.5 trillion by 2030. Meanwhile, financial giants such as BlackRock, JPMorgan, and Goldman Sachs have already begun experimenting with tokenized funds and treasuries.

The firm suggested that while regulation is often cited as the barrier to scaling tokenized finance, the real bottleneck lies in data itself. Much of it remains siloed across networks, stored in incompatible formats, or buried in block explorers and unstructured documents. This fragmentation, Moonberg argued, restricts transparency and undermines efficiency.

A unified data intelligence solution

To address these problems, Moonberg has introduced its platform as a single data layer for tokenized markets. The system reportedly standardizes over 14 billion live data points across more than 70 million tokens, providing the ability to analyze activity across multiple protocols without requiring manual exports.

The platform incorporates two core functions. First, it collects and interprets data, going beyond aggregation to clarify the semantic structure of information. Second, it integrates market context by unifying liquidity flows, sentiment trends, and price action into one comprehensive framework.


Moonberg stated that such functionality is designed to help market participants cut costs in data collection, normalization, and analysis, while also improving visibility and decision-making in tokenized markets.

Leveraging AI to enhance performance

Like most advanced analytics systems today, Moonberg’s platform also integrates artificial intelligence. The company introduced features such as AI Execution, which enables users to set triggers for specific data points and execute them in real time. Additionally, it offers lagging versus leading analytics, allowing users to determine automatically whether a given indicator predicts or follows market trends.


The firm’s leadership linked these innovations to historic shifts in financial transparency. They drew parallels to how Bloomberg in the 1980s made digital markets more accessible, suggesting that Moonberg aims to play a similar role for tokenized finance.

Potential impact on the industry

Analysts note that the blockchain industry, despite its reputation for transparency, often generates a level of technical disarray that hinders efficiency. Moonberg’s approach seeks to provide clarity without compromising the sector’s open and decentralized nature.

If the platform succeeds in delivering on its promises, it could emerge as one of the industry’s essential tools. Furthermore, its AI-driven features may elevate it beyond being a supportive layer, positioning it as a transformative player in how market participants interact with tokenized assets.

Exit mobile version