Dharmi Kumbhani
@dharmi
Clanker Scores get an upgrade with 2 additional APIs ( @clanker ) Now @openrank clanker scores include scores based on - buyer reputation - holders reputation - buyer breakdown (see which reputable Farcaster user bought the clanker and vice versa) - recency-based scores Link to docs - https://docs.openrank.com/integrations/clanker-openrank-scores h/t - @dish @proxystudio.eth @sahil @astralblue @danielsinclair
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mvr 🐹
@mvr
It's interesting to see the fake bankr token on the 2nd page cc @deployer
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Dharmi Kumbhani
@dharmi
Yup based on holder reputation is tricky as it’s Sybil prone Just means the fake bankr is held (airdrop I am guessing in this case) to more top reputable folks
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mvr 🐹
@mvr
Any way you can filter out the airdrops?
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Dharmi Kumbhani
@dharmi
I wonder if filtering by airdrops is even possible? how do you distinguish on chain between whats an airdrop vs whats a token transfer? using buyer reputation (the first query) will be a better suited in this case. also given that bankr is a malicious token, i think having a community driven blacklist token registry might be a great to have for the ecosystem, something even @vitalik.eth prev has mentioned
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mvr 🐹
@mvr
I guess you only can if it's done with some multi wallet airdrop tool? If it's just transfers I guess not Maybe if there's a lot of transfers from the token creator to high reputation fids it could ring some bells Crowd sourced block lists could help, think there even is one for fids (Or used to be), and there's also the warpcast blocks which can be used
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