The problem Nonagon solves

Blockchains produce a lot of data that gets indexed and is sitting on chain. This data is not yet being analysed across dapps and chains to create insights for users, developers and investors.
We are analysing the data available on chain by creating relations across dapps and chains to create insights for users, developers and investors.

We are using covalent apis for retreiving data and then creating relations between web3 dapps across multiple evm chains and providing insights to users into the kind of projects that are being used currently and how the users of Project A are also using Projects B, C and D. This allows users to be aware of their actions and gives them insights into the projects they could also potentially use.

Challenges we ran into

We are using covalent apis to get indexed data but the api latency is extremely high due to which we are unable to do real-time wallet and dapp address analysis and thus had to pivot to csv which allows for faster data analysis with better performance, relations and insights. The data present in the apis is also limited and allows for very less information, insights and analytics to be created.
A potential way make analysis easier and better with indexed data is by onboarding individual dapps and currencies to the platform using sub graphs, index that data in our own databaes and create relations and aggregated data on top of that to create better insights.