⚖️Algorithms and Analytics

At the core of Cryptify AI is our use of advanced algorithms and machine learning techniques to derive actionable insights from the collected data. Our primary focus is on causal inference, which is essential for determining the true effect of influencer posts on token price movements.

We utilize the PyWhy ecosystem and EconML for causal inference, enabling us to demonstrate the cause-and-effect relationship between social media activity and market reactions. This approach is crucial because it goes beyond simple correlations, providing businesses with a deeper understanding of how their marketing investments directly influence outcomes.

In addition to causal inference, we apply a range of analytical techniques:

• Sentiment Analysis Using NLP, we analyze the sentiment of social media posts to gauge the overall mood surrounding a token. This can be aggregated to understand broader trends or applied to specific influencers or campaigns.

• Topic Modeling With tools like BERTopic, we can identify and track the topics being discussed by followers of a particular KOL. This allows businesses to align their product offerings with market interests and better understand the potential market fit for new products.

• Predictive Analytics Users can also leverage our backend API, which powers both the frontend UI and external integrations. This API allows users to retrieve predictions and statistics, enabling them to integrate these insights into their own products and make informed decisions based on real-time data.