XYZ Wallet
Private Transfer

Your paying address and the recipient's address —
no longer directly linked.

A regular transfer leaves an on-chain record directly linking you to the recipient, which anyone can trace. Private Transfer breaks that direct link through a separate pay-in / pay-out flow: funds are paid to a one-time address, and the recipient is paid from elsewhere.

  • A one-time recipient address
  • Pay-in and pay-out aren't linked
  • Fee charged only on success
HOW THE LINK IS BROKEN

Your paying address and the recipient's address aren't linked on-chain.

HOW IT WORKS

Split into two legs, with no direct link between them.

Once an order is created, the system assigns a deposit address unique to it. After funds are paid in at the exact amount shown, the platform pays the final recipient the corresponding amount from elsewhere — there is no "your address → their address" record on-chain.

The source and destination can be different chains and tokens. The page shows an estimated and a minimum payout amount up front. The exact chains and tokens supported are shown live in the console.

Paid to a one-time address Each order gets its own deposit address — pay in the exact amount shown on the page. PAY-IN
The recipient is paid The order settles once the payout lands, and the service fee is deducted at that point. PAY-OUT
WHICH ONE TO USE

Where each transfer type fits.

See TRON Transfer →
TRON Transfer Private Transfer
On-chain record Sent directly from your address to theirs, traceable Split into two legs — no direct link between the two addresses
Cross-chain Same chain, same token Source and destination can be different chains and tokens
How you pay Signed in your wallet, broadcast by the platform Paid to the order's own address, at an exact amount
Time to arrive Depends on on-chain confirmation speed An estimate is shown up front, plus one extra verification step
Best for Frequent transfers where cost needs to be plannable When you don't want the pay-in and pay-out addresses directly linked

We'd suggest a full small-amount trial run first.

Once you've seen every step's status and timing, decide whether to use it for larger amounts.