What insider signals are and how they're detected

What it is, in plain terms

RugCheck (one of the data sources we use) analyzes a token's initial distribution patterns, looking for wallets that appear to have received tokens in a way that suggests privileged or coordinated access, before or during the public launch.

The resulting number represents how many wallets, according to RugCheck's analysis, fit this pattern.

Why it needs caution

We tested this data point on a concrete case: a popular, legitimate token (BONK) showed an "insider" count as high as -- if not higher than -- that of an actual documented rug pull (LIBRA). This tells us the number alone doesn't reliably distinguish between a legitimate project with a wide initial distribution and one truly coordinated for fraudulent purposes.

That's why we show it as purely informational data (gray), not as a green or red signal -- consistent with the same caution we apply to "common funder".

How CriptoCheck checks it

We pull this data directly from RugCheck's report for the token in question, and show it exactly as they calculate it -- we don't apply our own processing on top of their number.

What it does NOT guarantee, to be honest

A high insider signal count doesn't prove the project is a scam -- as the BONK case shows, it can happen even on established, legitimate tokens.

A low or zero count doesn't guarantee the absence of coordination -- the pattern RugCheck looks for is just one of many possible ways privileged access could show up.