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Chainlabs has published a free, labelled dataset of wallets linked to the Mercado Bitcoin theft.
It includes the hacker, pre-hack funder, and victim, so teams know what to block and what to watch. The attacker opens new wallets daily, so add the dataset to your AI assistant so every check runs against the latest version.
👇 The video below shows how, in three steps.
🔗 Get the dataset: lnkd.in/d_6Yw6tn
#MercadoBitcoin #BlockchainForensics
The @MercadoBitcoin attacker wallets are free: we re-check every chain the funds moved through (all 101 rows) on-chain and keep them current.
If you screen deposits, which list are you checking against? 🔗 in comments.
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Download the CSV or connect through the Chainlabs MCP server. Both serve the same latest file: chainlabs.ai/mercado-bitcoin…
🕵️♀️ Investigators: apply to test the MCP at [email protected]
On 2 November, attackers drained Mercado Bitcoin’s hot wallets across at least seven chains in about 25 minutes. Public sources have since named a handful of attacker addresses.
We have published a free, labelled dataset of 101 wallets linked to the theft, sorted into hacker, pre-hack funder and victim, so teams know what to block and what only to watch. Stolen funds usually cash out at regional exchanges and OTC desks, which is where our labels are strongest.
Check the list with your AI assistant: chainlabs.ai/mercado-bitcoin…
#MercadoBitcoin #Hack
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🌱 Clustering can extend a label across millions of addresses, but the name still comes from the seed.
Same rules and seeds, different providers: the clusters can differ widely.
Chainlabs starts from investigator-established seeds and extends labels across 510M+ addresses.
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Where crypto labels come from, and why your AI agent needs to know: chainlabs.ai/insights/where-…
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👥 A researched label is assigned by a person, not a machine.
It’s the only method that produces a named entity with evidence behind it, and what clustering and ML models are built on and checked against.
Chainlabs attribution is backed by verifiable source evidence.
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⛓️ The Chainlabs MCP server brings our attribution data into your AI agent. Access is by application: [email protected]
📖 Full article below: chainlabs.ai/insights/where-…
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A human reading a label can pause and think about where it came from. An AI agent does not pause.
If the label rests on a guess, every conclusion that follows will carry the same error across hundreds of addresses.
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⛓️ The Chainlabs MCP server brings our attribution data into your AI agent. Access is by application: [email protected]
📖 Full article below: chainlabs.ai/insights/where-…
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Following Bitget’s ~$387M trail is easy. Knowing who is at the other end is what gets funds frozen.
Chainlabs attribution, now inside your own AI agent. Test it free:
Comment, DM, or email us to become a tester: mcp[at]chainlabs.ai View article
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We took a closer look at what it takes for attribution data to survive cross-examination.
#DigitalAssets #OnChainForensics
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Crypto Gambling's AML Reckoning: From FinCEN to MiCA the sector is headed in one direction
Six jurisdictions have closed in on crypto gambling AML within a two-week window.
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In the EU, MiCA's transitional period ends July 1. Operators using grandfathered licenses must secure authorization or cease servicing EU users.
Spain has blocked multiple crypto betting platforms. Portugal and Hungary have imposed restrictions on crypto-based prediction markets, and Brazil has prohibited dozens of comparable products.
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In the US, FinCEN's proposal mandates crypto gambling operators register as Money Services Businesses, file SARs and CTRs, and designate compliance officers. These requirements apply regardless of whether fiat is involved. More: chainlabs.ai/insights/crypto…
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