Whitepaper
1. Introduction
SolAnalystAI is your personal AI wallet analyst. Using various indicators, including Wallet Balance, Transaction Volume and Transaction failure rate (among others) we’re able to provide a reputation ratings engine, cable of accurately determining the trustworthiness of a Solana wallet and provide deep analysis with clean and thoughtful insights.
2. Problem Statement
Empower crypto investors and users with transparent, data-driven wallet reputation insights. By analysing critical metrics, we provide comprehensive reputation assessments that help users make informed decisions in the Solana ecosystem, enhancing trust.
3. Solution and Implementation
Our solution involves using handcrafted, specific metrics to understand the reputation of Solana wallets. These enable us deep insight and analysis into the wallets trustworthyness and reputation. The indicators used can be found below. In terms of implementation, the backend is written in rust, making use of the solana-client crate. The future website will be implemented using React and Typescript. The backend makes use of a pub-sub architecture, using pulsar, enabling infinite horizontal scaling of our workers. Hence, providing scalability and performance.
4. Breakdown of Reputation Indicators
4.1 Wallet Balance Although this indicator doesn't inherently indicate reputation, when combined with others it does illustrate the wallet holder is invested in the Solana ecosystem, especially when the wallet balance is maintained for a long period of time. As expected, a higher wallet balances are perceived with higher reputation, and as such, very low balances are penalized. 4.2 Transaction Volume Regular activity over a long period of time indicates the wallet is legitimate and therefore more reputable. Low transaction volume doesn't inherently imply lower reputation although it's marginally penalized. Wallets with extremely high transaction volume may indicate the wallet is operated by a bot. As such, these wallets are heavily penalized. To receive no or a low penalty on this indicator, wallets should maintain a reasonable level of transaction volume over an extended period of time. 4.3 Dormancy Dormancy, or time since last transaction, is a considerable indicator into a wallet's reputation. Large periods of time since a transaction indicates the wallet is not frequently used. 4.4 Transaction failure rate High transaction failure rate may imply lower wallet reputation in several ways: * Poor understanding of the network (insufficient gas fees, improper transaction construction) * Attempts to front-run or engage in high-frequency activities without proper optimization * Interaction with poorly written smart contracts 4.5 Prioritization Fee Metrics Two metrics form this indicator: average fee and fee standard deviation. Lower standard deviation implies higher wallet reputation as it reflects higher stability towards transaction management and a consistent strategy. Higher average prioritization fees also imply higher wallet reputation as it can imply the wallet is more confident in their transactions and take active approaches to mitigate front-running attempts.
5. Roadmap
2025 Q1: - Token launch - Initial working implementation (Alpha) 2025 Q2: - Training of AI models to determine reputation - Website released (Alpha) 2025 Q3: - AI models refined, more training time expected - Website released (Beta) 2025 Q4: - Implementation of trained AI models - Final website and backend implementation released

