Proposal: Privacy-Preserving ZEC Payments for Autonomous AI Agents

Hi everyone,

I am submitting a proposal to Zcash Community Grants that explores how Zcash can serve as a privacy-preserving payment layer for autonomous AI agents.

As AI agents evolve from research prototypes into real economic actors, they increasingly need to make payments for data, APIs, compute, and services. Today, most agent payment flows rely on transparent blockchains, which expose strategies, counterparties, and operational metadata. This creates a real privacy gap for agent-based systems.

This proposal introduces WAP3, an open-source Zcash-aligned infrastructure layer that enables AI agents to make privacy-preserving payments using ZEC, without modifying upstream Zcash protocol code.

What this proposal focuses on

This is an infrastructure-level project with a concrete and scoped goal:

• Enable AI agents to send ZEC using shielded addresses
• Support programmable payment patterns such as escrow, conditional release, and time locks
• Preserve privacy while enabling verifiable settlement and auditability
• Provide developer-friendly SDKs (TypeScript / Python) for common AI agent frameworks

The work is designed to integrate with existing Zcash SDKs and APIs, rather than introducing protocol changes or forks.

Why this matters for Zcash

From a Zcash ecosystem perspective, this work aims to:

• Introduce AI agents as a new class of ZEC users
• Increase shielded transaction usage via automated, machine-driven payments
• Position Zcash as a privacy-first payment layer for emerging agent economies
• Attract AI and developer communities that currently default to transparent chains

Privacy is not a “nice-to-have” for AI agents. Instead, it is often a competitive and operational requirement.

Scope and positioning

This proposal does not:
• Modify Zcash consensus or protocol rules
• Require upstream merges to existing Zcash repositories
• Depend on experimental protocol features

Instead, it focuses on building new, open-source infrastructure that uses Zcash’s existing privacy guarantees in a way that is accessible to AI developers.

Grant application

The full grant application (including milestones, budget, and technical details) is here:

I am posting this here to gather community feedback before the application moves forward.
Questions, concerns, or suggestions are very welcome — especially around developer usability, privacy assumptions, or ecosystem alignment.

Thanks for taking the time to read and review.

WAP3 team

Thank you for your submission. After consideration from ZCG and sufficient time for the community to provide feedback on the forum, the committee has decided to reject this proposal.

The committee appreciates your grant submission efforts and encourages you to continue as an active member of the Zcash community going forward!

Is there any chance to get some high-level feedback on the declined proposals? For example, whether the main concern was strategic fit, budget size, lack of technical justification, or something else?

I’m a third party and is not involved in preparing the grant application above, but I’ve been considering bringing a concept in a similar direction to Zcash. Seeing multiple proposals around this area — plus parallel efforts like the z402 project (https://z402.cash/, x402 & ZK: Building the Internet’s Payment Standard , https://x.com/z402cash) — suggests this topic is gaining traction, especially with AI agents becoming a larger part of the internet and naturally intersecting with privacy-preserving payments.

To be clear, I’m not questioning the board’s decisions. I’m trying to understand the broader context:
– Is this general direction (e.g. z402-like ideas) currently not a priority for the Zcash ecosystem?
– Or was it more about the specific implementation, scope, or execution of the submitted proposals?

I would fully understand if the answer is “this is already being built already” or something like that. That context would be extremely helpful, as it would directly affect how I shape a future proposal — for example, by integrating with existing work instead of duplicating it.

Any insight from the board or other active community members on how this topic is viewed right now would be highly appreciated.

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