Funding and deployer context
Where supported by chain data, scans examine deployer history, funding context, and contract creation details.
// transparent risk intelligence
Methodology & Limits
RugBuster combines available on-chain, liquidity, and security signals into a token-risk assessment. It is designed to help research a token launch, not to predict the future or certify that a token is safe.
Important: a GOOD or low-risk result means no material risk signal was detected from the data available at that time. It is not a guarantee of safety.
// scan inputs
Signals we examine
Launch and activity timing
We evaluate available deployment, liquidity, and transaction timing signals. Coverage differs by blockchain and data provider.
Entropy and wash indicators
Transaction patterns can indicate unusually automated or circular activity. These are risk indicators, not proof of misconduct.
Holder and liquidity signals
Where data is available, we consider concentration, cluster indicators, liquidity depth, and liquidity-related risk evidence.
Code and permissions
For supported contracts, security feeds and bytecode checks can surface privileged controls, risky signatures, or missing source verification.
Chain-specific feeds
Results draw on public chain nodes and explorers, DEX liquidity data, and third-party security data where available. RugBuster does not control those sources.
// result quality
Risk score and confidence are separate
The risk score summarizes the signals that were successfully evaluated. The confidence level reports how complete that reading was.
- Normal confidence: the required inputs for that scan were available and evaluated.
- Low confidence / degraded reading: one or more data sources or modules were unavailable. The result should be treated as incomplete and investigated further.
- Unavailable: RugBuster could not obtain enough data to make a useful reading. This is not the same as a clean result.
// basic vs deep
Scan tiers
Basic scans return the available core token-risk reading. Deep scans request additional behavioral analysis where the relevant chain data is available. A deeper scan may still report unavailable modules when public chain or third-party data cannot support a reliable result.
// known limitations
What RugBuster cannot guarantee
- It cannot detect every new or evolving fraud pattern.
- It cannot verify off-chain claims, team identity, future liquidity decisions, or future market behavior.
- Third-party and public-chain data can be delayed, unavailable, incomplete, or incorrect.
- Coverage and feature depth vary across Avalanche, BNB Chain, Base, Solana, and TRON.
Use scan results as one part of independent research before trading or interacting with a token. Read the Terms & Disclaimer for the full service notice.