Agent-native private payments for APIs, compute, and data access

As AI agents become more autonomous, they increasingly interact with external services, paying for APIs, accessing data, or using compute resources. This creates a new class of machine-to-machine economic activity, where payments are made continuously and programmatically.

Standards such as x402 define how payments can be embedded directly into HTTP requests, enabling agents to pay per request for services like model inference, storage, or premium data access.

However, executing these payments on public infrastructure exposes sensitive information about the agent’s behavior. Payment flows can reveal strategies, intent, and internal decision-making processes, creating both security risks and competitive disadvantages.

We need systems where agents can transact programmatically, without exposing their financial activity or operational logic.

TACEO enables this by combining x402-style payment flows with private execution via TACEO’s onchain finance service (e.g. TACEO:OMap). Agents can attach payments directly to requests, while the underlying transaction details (balances, amounts, counterparties) remain encrypted and are processed across the MPC network.

Combined with programmable accounts enabled by standards such as ERC-4337, agents can autonomously initiate, manage, and optimize their payment flows as part of their execution logic.

In addition, TACEO:OPRF can provide agents with privacy-preserving identities or usage constraints (e.g. per-agent quotas or uniqueness), without linking activity across services.

This enables agent-native economies, where autonomous systems can interact, transact, and coordinate without leaking sensitive information about their behavior.

Learn more:

• TACEO:OPRF for agent identity
• Private finance flows
• TACEO Services Overview