working on base mcp integration right off the bat. probably one of the most important features if we want zer0 placing trades
limit orders will also be included in the next update so that users can leave limits rather than filling to market.
also, I'll be focusing on tweaking zer0 on X so that replies are more concise.
lastly,
copytrading and wallet analysis are next on the menu.
>send a wallet to zer0
>zer0 scans it and pulls a report
>if the wallet is good enuff. add it to your list and zer0 will notify you if there's any updates.
Veilnet private MCP server testing is underway.
Defining the privacy agentic framework.
We see an early agent flow connected directly to Veilnet MCP tools, creating a weekly $50 USDC → ETH DCA agent with encrypted parameters.
This is the next step for Veil AI:
not just private prompts, but private agentic workflows.
The goal is to let users create AI agents that can interact with Veilnet without exposing the full strategy behind the action.
Example use cases:
private DCA agents
encrypted portfolio strategies
shielded payment agents
confidential research agents
private AI execution workflows
wallet-aware assistants with reduced data leakage
future rebalancing and automation flows
In this test, the strategy parameters are encrypted before leaving the user environment.
Veilnet does not need to see the plaintext strategy.
The MCP server only stores encrypted configuration data, while the agent can later retrieve, decrypt locally, and execute through Veilnet rails.
That means an agent can be useful without turning every strategy, payment instruction, or wallet action into exposed model context.
This is the direction we are building toward:
AI agents that can act
without leaking the user’s full intent.
Private prompts were the first step.
Private MCP is the execution layer.
Coming soon, part of the $VEILNET ecosystem.
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Theres ONE proposal addressing this @IOHK_Charles
Veil AI is the beginning.
It is the first step toward a private AI ecosystem inside Veilnet.
The long-term direction is private agentic workflows, where users can interact with AI agents without exposing the full prompt, wallet context, strategy, or execution path behind every request.
Today, most AI workflows leak intent.
A prompt can reveal:
what you are researching what you are planning to trade which wallet you are analysing what strategy you are testing what action you want an agent to take next
Veil AI is being built to shield that intent.
The first layer is shileding inent and privacy-aware request routing.
The next layer is agentic execution:
private portfolio analysis private DeFi strategy requests private swap preparation private research workflows private agent instructions future onchain actions routed through Veilnet rails
The goal is to make AI usable without turning every prompt into behavioural data.
As agents become more autonomous, prompt privacy becomes execution privacy.
Veilnet started by shielding transfers.
Veil DEX brought privacy into swaps.
Veil AI brings privacy into the intent layer.
This is how the ecosystem expands:
private value movement private trading private prompts private agents private execution workflows
Veil AI is our first product in that direction.