Related to this Tweet. You can find wallets blacklisted on this date with this dashboard. The flows in to those wallets make the blacklistings confusing.
Here is a code snippet sufficient to extract all the inflows to these wallets via the DashArgos API:
sdk = looker_sdk.init40(...)look = sdk.look(look_id=729)# this is the inflows look, you can set up your own too# these are the addresses and tokens we care about herequery_filter ={"tron_txns.to_address":"TKo62ywGRK7vYXcpBavvmUmwKWgrPtw2Mx,TFWry4G122VJdZNn9uX3HFZ64FeZR4WB13,TRUzWMZnRseD3cZSKLGHvQ8yaiEyQtR2n5,TGm1Kz7W5mWrKp6ibJQvGdG7pXwMg1K1k1,TPXPXxf2rkXTBg1cJw4JfajmHNV8cPJ8B4","tokens.symbol":"USDT",}# construct a new query based on the first onenew_query = sdk.create_query(body=looker_sdk.models40.WriteQuery(model=look.query.model, view=look.query.view, fields=look.query.fields, filters=look.query_filter))# run it and load to a pandas dataframedf = pd.read_csv(StringIO(sdk.run_query(query_id=new_query.id, result_format='csv')))