indexing

AI agents are taking the spotlight, but for these agents to do complex tasks they will need on-chain data.

There's complex data infrastructure needed to serve this data. This is how a serious AI data pipeline will look like:

AI agents are taking the spotlight, but for these agents to do complex tasks they will need on-chain data.

There's complex data infrastructure needed to serve this data. This is how a serious AI data pipeline will look like:
https://theindexingcompany.substack.com/p/serving-ai-with-data-infrastructure

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Monkey on the chain | wrangling data at The Indexing Company
https://www.indexing.co/

Great read, would love to see an example of onchain data that’s structured really well to be ingested by ai models for training - the ideal scenario, do any come to mind? 

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Thanks! Since this might be very use case dependent we typically don't predefine the data structure (as in the format/schema) and do that custom with the builder to make the model training as easy as possible.

That said, most onchain data is fairly structured already like DEX trades. I think where structure is very important is when you want to add labels