AI Analyst

AI Analyst will take data from Data Aggregator and use machine learning to evaluate the value of NFT. Based on artificial intelligence algorithms, it analyzes the real-time characteristics of NFT, builds an NFT valuation model, and uploads the results to the chain after model evaluation.

Data Statistics

Statistics cover collection-level and NFT-level data according to the subscription from users and the analysis from the Data Aggregator.

Model Training

AI Analyst builds the model with the time series prediction method, which predicts the trend through the number sequence of a certain time, that is, estimates the current NFT value through the historical characteristic data of NFT.

Model Evaluation

After the valuation model is established, the output of the model needs to be evaluated. The AI nodes use MAPE (Mean Absolute Percentage Error) to comprehensively evaluate the model effect by referring to other evaluation indicators.

Real-time Feeding

As an on-chain and off-chain data bridge, AI Analyst will synchronize the NFT collection value (including market floor price, AI floor price, 24h average transaction price, etc.) and NFT valuation (including standard valuation and valuation range) to the contract.