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Data on USDT and TRON, ready to quote.

We process the full USDT TRC-20 transfer stream and keep 65 million labelled TRON addresses. Below are our published findings, the files behind them, and what we can prepare for your story.

How we measure

Raw data is the complete USDT TRC-20 transfer log, read from the public chain. Labels come from public sources (the Tether blacklist, OFAC, EU, UK and Israeli sanctions lists, US court records, Chainabuse, exchange proof-of-reserves) and from our own pattern detection: deposit sweeping for exchanges, look-alike prefixes and suffixes for poisoning, activation chains for fake factories.

Every figure in our studies comes with its time window and method, and is a lower bound unless stated otherwise. We do not name private individuals and do not claim intent; we describe what the transfers show.

What we can prepare

  • Custom cuts of the data for a specific exchange, region, time window or sanctions case.
  • A check of specific addresses from your investigation, with the trail of funds up to five hops.
  • A comment from the team, in English or Russian, usually the same day.
  • Early access to studies in progress: how much money leaves an address before Tether freezes it and where it goes; who is frozen and who is not.

Citing

Free to quote and republish charts with a credit: "Source: FreezeCheck (freezecheck.org)". A link to the study page is appreciated.

Fact sheet

  • Product: a Telegram bot, @freezecheck_bot, launched in 2026. A mobile app is planned.
  • Coverage: TRON network, USDT only. 65 million labelled addresses, updated daily.
  • Accuracy: 84% of Tether freezes flagged in advance in a blind test on freezes the model never saw (93% after we tuned thresholds on the same freezes); 3% false alarms on random exchange clients.
  • Public prediction log: verdicts recorded in advance and compared with new freezes every hour.

Contact

hello@freezecheck.org

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