We are excited to announce that our partnership with u--1 has been extended to integrate restaking risk data on their API, starting with AVS risk scores.

Advancing Risk Understanding within Restaking

Our collaboration aims to enhance community understanding of the risks within the restaking ecosystem through rigorous research and analytics.

Assessing and understanding this complex and novel set of risks from first principles is essential. This partnership provides a deeper dive into the risks, ensuring that the restaking and crypto community are well-informed and equipped to navigate the space well.

Integrating Risk Data into U--1's API

We have pursued a simplified approach based on the qualitative assignments on the degree of risk (low to high <-> 1 to 3) per AVS component on the AVS matrices integrated on u--1. The aggregate risk score per AVS is the result of the sum of the quantitative values of their components.

AVS component A => low risk => 1
AVS component B => medium risk => 2
AVS component C => high risk => 3

Example for EigenDA:

• Matrix: https://u--1.com/avs/0x870679e138bcdf293b7ff14dd44b70fc97e12fc0

• API: https://api.u--1.com/v1/avs-risks-summary

Summing each quantitative score per component, we arrive at a final aggregate value of 11, representing EigenDA's risk score. The risk scores in the API can be queried for all integrated AVSs: EigenDA, Omni, Lagrange ZK Coprocessor and State Committees, and Brevis.

This approach provides users with a consumer-friendly, initial quantitative assessment for AVS risks. We plan to work further with u--1: to offer greater granularity on risks for AVSs, LRTs and Operators, as our API-appropriate quantitative modelling evolves.

Outro

Visit u--1 website to learn more, and their API page at https://u--1.com/api.

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