Historical Intelligence
Structure known incidents into evidence, entities, timelines, root causes, and reusable detection patterns.
- Rug Autopsy
- Case Archive
- Pattern Library
Turn Crypto Failures Into Intelligence.
Analyze the evidence behind scams, wallets, liquidity events, and smart contracts—then recognize the signals before the next failure.
LP REMOVE 142.8 WETH withdrawn
TRANSFER linked wallet cluster
APPROVAL router permission raised
Move from historical evidence to live signals without losing the wallets, events, or relationships that explain the risk.
Surface contract, liquidity, ownership, mint, and concentration signals early.
Prioritize the entities that need attention, then inspect the signals behind each score.
Rules-based signal engine today. Multichain monitoring and advanced anomaly detection are under active development.
Liquidity removal sequence detected
Follow the money, not the narrative.
Analyze profit and loss, current exposure, related wallets, smart-money overlap, and historical risk from one address.Failures are not endpoints. They are training data.
Reconstruct the timeline, isolate control changes, trace the wallets, preserve the evidence, and identify the root cause.FundingDeployer receives 38 ETH from linked wallet cluster
ControlRouter allowance and ownership privileges modified
ConcentrationSupply consolidates across four related wallets
ExitLiquidity removed across three coordinated transactions
Matching sequence: concentrated ownership → sell restriction → coordinated LP removal.
Ask the chain in plain language.
Turn dense contract, wallet, liquidity, and holder data into an investigation-ready explanation.Select a question or ask about the loaded investigation.
Don't remember dead projects.
Learn from them.01Every scam leaves evidence.
02Every wallet leaves traces.
03Every failure teaches something.
CoinGraveyard turns all of it into intelligence.
From learning what happened to understanding what is happening—and eventually recognizing what is likely to happen next.
Structure known incidents into evidence, entities, timelines, root causes, and reusable detection patterns.
Monitor contracts, liquidity, holders, ownership, and wallet relationships as risk develops on-chain.
Compare emerging behavior with historical failures to surface repeatable mechanics before capital exits.
Role-based feedback shown without invented customer logos, company endorsements, or performance claims.
The useful part is not another red flag. It is seeing which wallets, permissions, and liquidity events connect the risk together.
Historical incidents become much more valuable when the evidence can be compared against what is happening in a live token.
The timeline gives analysts a common language: what changed, who moved first, and which signal actually mattered.
Start with the public intelligence archive. Upgrade when your investigations need deeper wallet, monitoring, and team workflows.
Investigate public incidents and learn the core threat patterns.
Trace entities, monitor projects, and build deeper investigations.
Shared intelligence workflows for funds, research teams, and security desks.