CATEGORY | USERS | AMOUNTS | |
---|---|---|---|
1 | Between 5K and 10K Tokens | 815 | 6129765.98624021 |
2 | Between 1000 and 5K Tokens | 1749 | 3736555.51934555 |
3 | Less Than 100 Tokens | 82582 | 2254835.10607629 |
4 | Between 500 and 1000 Tokens | 1460 | 1030805.65749005 |
5 | Between 100 and 500 Tokens | 9104 | 1858573.42897005 |
6 | More Than 10K Tokens | 599 | 17003648.659114 |
freemartiancategorized Users
Updated 5 days ago
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with datas as (
select
to_address as user_address,
SUM(amount) as amounts
from base.core.ez_token_transfers
where from_address = '0xeb7d383b0c77ea0bed28b42d0c288f9071bd8a7a'
and contract_address = '0x98d0baa52b2d063e780de12f615f963fe8537553'
and origin_function_signature = '0x69659658'
-- and tx_hash = '0x86a6bacdce3799c129a3b596a506bb6aa73b1d885e80179f46624fe8fdbda201'
group by 1
)
select
(case
when amounts < 100 then 'Less Than 100 Tokens'
when amounts >= 100 and amounts <500 then 'Between 100 and 500 Tokens'
when amounts >= 500 and amounts <1000 then 'Between 500 and 1000 Tokens'
when amounts >= 1000 and amounts <5000 then 'Between 1000 and 5K Tokens'
when amounts >= 5000 and amounts <10000 then 'Between 5K and 10K Tokens'
when amounts >= 10000 then 'More Than 10K Tokens'
END ) as category,
count(user_address) as users,
SUM(amounts) as amounts
from datas
group by 1
Last run: 5 days agoAuto-refreshes every 1 hour
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