The problem AIOra solves

AI needs data, AI for trading needs more and better quality data. Most of the existing oracle in Web3 focuses on providing market data (e.g., Chainlink), which is not enough to provide the edge for traders to win in a more competitive environment. Alternative data stream is one of the solutions.

However, even in the traditional alternative data marketplace, we face the following issues:

1. Demand problem: the demand side is not clear which data to use without paying a significant subscription fee or going through an equally costly trial period, which involves data scientists working on it for weeks.

Our AI agent can identify the right data to use to project a token's future price or build a DeFi's infrastructure.

2. Supply problem: the supply side does not know how to process the data in a more ready format, and the revenue share is based on subscription not on royalties like NFTs. So the motivation to provide high quality, ready-to-digest data is low.

AI can distribute token-incentives more easily based on each data stream's demand and block-chain guarantees the process is transparent and reliable.

Challenges we ran into

Smart contract deployment: insufficient document to deploy a smart contract
Good data source for token ranking: there is lack of good open-source data sources to obtain the ranking of tokens
Estimate the popularity score: how to merge the popularity score from different data sources into a single one