Mapping out human metadata to 500 million transactions on Ethereum

As of August of 2018, the Ethereum mainnet has recorded the transactions of over 37 million wallet addresses, representing over $100 billion dollars worth of cryptocurrency.

The majority of transactions represents a relationship between either:

1. Two humans directly.
2. Humans and Smart Contracts.

So, if we can tag human metadata attributes to these wallet addresses, we can begin to discover novel relationship-based patterns.

Below is an example of what we can find when we attach various metadata to existing wallet addresses on Ethereum. Here we were examining ip addresses that were attached to multiple wallet addresses.

Source data is from an Ethereum mainnet node combined with data from ThisOrThat.io. Identifying datapoints have been blurred out for privacy reasons.

Here is another example. We initially filtered out ERC20 token transfers to wallet addresses tied to Russia.

Source data is from an Ethereum mainnet node combined with data from ThisOrThat.io. Identifying datapoints have been blurred out for privacy reasons. Wallet addresses are in red, ERC20 tokens are in green, countries are in blue, email addresses are in yellow, ip addresses are in purple.

So what is the value derived from analyzing all of this data? Imagine KFC performing targeted airdrops to wallet holders in Indonesia. Or a bank ensuring that their crypto-based customers are not doing business with bad actor states.

As we continue to merge data from ThisOrThat.io, we will eventually map out wallet addresses that prefer pasta over rice, or like Star Wars over Star Trek. If you think this data might be valuable to your project, be sure to reach out by leaving a comment below!