> For the complete documentation index, see [llms.txt](https://eigenphi-1.gitbook.io/classroom/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://eigenphi-1.gitbook.io/classroom/eigenphis-methodologies/2-biggest-concerns-that-havent-been-properly-addressed.md).

# 2 Biggest Concerns That Haven't Been Properly Addressed

Facing the problems caused by data and information overloading, DeFi's new world urgently needs new methodologies to dynamically parse the market message, warning, and alert in real-time. At the current phase, two aspects are the biggest concern.

1. to discern the veritable liquidity data;
2. to identify the malicious intention; both of which require active and brisk actions, which is an ongoing process. 

The existing products exhibit shortcomings that impede a cohesive solution, including:

* Being short of consistency on statistics.
* Lacking bona fide liquidity data.
* Missing network analysis, which is essential to unveil the connections among multiple transaction structures.
* Missing holistic risk evaluation, which is required to dissect the cross-protocol liquidity.

In EigenPhi's view, the reason these products fail to deliver is a lack of an in-depth understanding of DeFi's transaction structures, which should be the foundation of all DeFi data processing.


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