Privacy Pay is launching on @Pumpfun, building the financial infrastructure layer for agents and internet-native commerce.
Privacy Pay enables private payments, programmable transfers, agent-driven transactions, social payments, and crypto-to-fiat settlement through a unified platform designed for both humans and autonomous systems.
As AI agents become economic participants, they need more than wallets. They need payment infrastructure that supports automation, coordination, recurring transactions, payouts, and real-world settlement.
Privacy Pay is building that foundation.
One platform where users and agents can send, receive, automate, and settle payments across digital and traditional financial rails.
Send Payments to anyone using their X (Twitter) Handle or Email
Crypto payments should be as simple as sending a message.
With Social Pay on @PrivacyPayNet, you can send funds to users using a X (Twitter) handle or email address.
No copying long strings, no worrying about mistakes, no need to know which wallet someone uses and no unnecessary complexity.
Simply choose a contact, enter their Twitter handle or email, and complete the payment in seconds.
Pay users through identities they already use every day, making crypto payments feel as simple as sending a message.
Built for creators, communities, teams, and the future of internet-native commerce.
Introducing Crypto to Fiat Rails on Privacy Pay.
Offramp digital assets into fiat through a seamless withdrawal experience.
Support for multiple currencies across leading blockchain networks, including Solana, Ethereum, Polygon, Arbitrum, and Base.
Built to make accessing real-world liquidity from on-chain assets simple.
Introducing the Agent CLI
Programmatic payments for agents and autonomous systems.
Execute private transactions directly from code — send, stream, batch, and schedule payments
without exposing counterparties, amounts, or timing.
Designed for automation:
• trigger payments from scripts, bots, or backend systems
• run recurring payroll and continuous streams
• execute bulk payouts in a single private command
It is built for the future of agentic payments and agentic commerce.
Privacy shouldn’t come at the cost of compliance.
Privacy Pay adds built-in compliance checks to private payments on Solana.
Transactions are screened against the sanction list before execution so you can send value with confidence.
Built for real-world payments on Solana.
Set up recurring payment automation with scheduled payroll cycles and programmable execution with zero manual intervention.
Stream salaries continuously with confidential salary streams, keeping amounts and recipients private.
Enable zero-visibility operations by eliminating internal and external exposure of compensation data across all payroll workflows.
Execute encrypted bulk transfers with hundreds or thousands of payments in a single private batch transaction.
Achieve gas and cost optimization through aggregated transaction execution.
Enable scalable team payments without increasing operational complexity or compromising privacy.
Built for privacy-first teams.
End-to-end transaction privacy keeps salaries, identities, and metadata encrypted while still settling onchain.
Compliance without exposure maintains auditability without revealing sensitive payroll data.
Secure by design architecture using TEE, ZK, and. encrypted execution eliminates data leakage by default.
Privacy Pay enables real-time private salary streaming on Solana.
Salaries accrue continuously and settle when needed.
No visible balances. No exposed payment flow.
Private bulk payroll on Solana.
Pay entire teams in one go with split payments and scheduled releases.
No exposed salaries. No visible recipients. No leaked timing.
Payments settle privately, and recipients withdraw without revealing total income.
Built for teams that need privacy by default.
Agents don’t just complete tasks now. They transact.
With @PrivacyPayNet, agents can send, split, and schedule payments without exposing counterparties, amounts, or timing.
No leaked strategy. No visible coordination.