Albert Hild

Fintech CTO · AI agents in production, not in pitch decks · Open source tooling · 30 years of startups, still deploying on Fridays · 🇩🇪

[Albert Hild @alberthild]

Glad you powered through the Day 1 alpha setup! 😅

When you start exploring the enhanced policy and enterprise mechanisms, check out the Vainplex OpenClaw Plugin Suite. NemoClaw does a great job securing the host (OS-level OpenShell isolation), but you still need a layer to secure and monitor the AI's actual decisions inside that sandbox.

We just rolled out full NemoClaw compatibility today. It gives you:

🛡️ Governance: Agent Firewall (Prompt Injection/URL scans) & TOTP 2FA for risky tools.

⛓️ Proof-of-Guardrails: NATS EventStore with Merkle-tree cryptographic audit trails.

🩺 Leuko & Cortex: A cognitive immune system for anomaly detection and trace analysis.

NVIDIA secures the container. We secure the AI.
Would love to hear your thoughts when you dig into the policy side!

https://t.co/ua2btYLLXG

[Albert Hild @alberthild]

NVIDIA secures the host. Vainplex secures the AI.

It’s a massive step for enterprise AI, isolating the agent from the host filesystem and network.

But sandboxing the *container* doesn't control what the agent *decides* to do inside of it.

That’s where we come in. Vainplex Governance is architecturally designed to run seamlessly inside NemoClaw sandboxes.

You now have the ultimate enterprise agent stack:

1️⃣ NemoClaw: Isolates the agent on the OS-level.

2️⃣ Vainplex Governance: Acts as the Policy Decision Point inside the sandbox.

If the agent decides to trigger a risky API call or data operation, Vainplex-Governance pauses execution, enforces TOTP-based Human-in-the-Loop 2FA, and anchors the decision on-chain via Merkle Trees for a cryptographic audit trail.

Because we run as a native OpenClaw plugin, there is zero friction. You just allowlist our telemetry endpoints in your NemoClaw blueprint, and your AI fleet is fully governed.

https://t.co/ua2btYMjNe

[Albert Hild @alberthild]

Quietly been shipping massive updates to the OpenClaw Plugin Suite. Today, we bundled it all into the March 2026 Release.

If you run AI agents in production 24/7, you need real infrastructure, not just prompts. You need an Agent Firewall and Proof-of-Guardrails.

Here is what’s new in Governance v0.11:

🛡️ The Agent Firewall
Real-time security intelligence before the agent acts:
• URL Threat Detection (phishing, malware, impersonation)
• Prompt Injection Scans (208 adversarial patterns)
• Domain Reputation (DNS, SSL, blacklists)

⛓️ Proof-of-Guardrails (Merkle Tree Anchoring)
We don't just log events; we prove them. Every decision, tool call, and policy block in the NATS EventStore is built into a Merkle Tree, and the root hashes are anchored on-chain. This creates an immutable, cryptographically verifiable audit trail. You can mathematically prove to auditors (or yourself) that your guardrails fired exactly when and how they were supposed to.

🔐 TOTP-based 2FA !!!
When your agent tries to run a privileged tool, it pauses and waits for your 2FA token (TOTP). Real session unlock for autonomous AI.

Running agents requires control, memory, observability, and verifiable security. We're building the missing pieces.

https://t.co/ua2btYLLXG

[Albert Hild @alberthild]

Thanks! The beauty of pay-per-call is that price *is* the rate limit. 💸

If an agent wants to fire 1,000 reqs/sec and pay for every single one, we happily process it (up to our upstream limits).

For abuse protection, we handle it entirely in the middleware. If we need to throttle, we just don't issue the 402 quote. The smart contract stays dumb, stateless, and cheap to execute.

[Albert Hild @alberthild]

tell me a better way how an Agent can check if an email was part of a breach and is dealt on the dark web!

'shildapi email [email protected]'

https://t.co/06jeTPwbLd

[Albert Hild @alberthild]

x402 is native - every ShieldAPI endpoint is pay-per-call via USDC on Base. No API keys, no subscriptions. Agent hits /check-mcp-trust → gets a 402 → wallet signs USDC payment ($0.02) → response with full trust score.

Same flow for all tools: breach checks, domain/IP reputation, prompt injection detection.

Free tier: 10 calls/day for testing. Then x402 takes over seamlessly.

Live demo: https://t.co/bpKfPCQKmN

[Albert Hild @alberthild]

"Build the valuable agent first" — 100%.

That's why ShieldAPI exists. Not another wallet or payment rail - a security API that agents actually need. Password breaches, domain reputation, URL safety, MCP trust scoring.

Pay $0.001-$0.02 per call via x402. Already live on Smithery + Glama.

Agents that handle money need to verify who they're talking to.

https://t.co/bpKfPCQcxf

[Albert Hild @alberthild]

"Build something useful for other agents." - That's literally our mission.

ShieldAPI: security intelligence API built FOR agents. Check email/password leaks, domains, URLs, IPs, MCP server trust - all via x402. No API key, no signup.

Listed on Smithery + Glama. Any agent can call us.

https://t.co/bpKfPCQcxf

[Albert Hild @alberthild]

Already building this. ShieldAPI is an ERC-8004 registered security oracle — live on-chain with AgentProof.

10 endpoints: breach checks, domain reputation, URL safety, MCP trust scoring. All x402-native, USDC micropayments.

Agents need security intelligence before they transact. That's us.

https://t.co/bpKfPCQcxf

[Albert Hild @alberthild]

Exactly this. "Treat every tool invocation as an authorization decision."

We built check-mcp-trust for exactly this problem — a multi-signal trust oracle for MCP servers: domain security, SSL, injection tests, uptime, supply chain analysis, on-chain reputation via ERC-8004.

One x402 API call, $0.02. No signup, no API key.

https://t.co/bpKfPCQcxf

[Albert Hild @alberthild]

Your AI agent connects to 20 MCP servers a day. It has no idea if any of them are safe.

Just shipped check-mcp-trust — one API call that scans security, prompt injection risk, supply chain, uptime, and on-chain reputation. Returns a trust score 0-100.

10 free calls/day. No signup. Just x402.

https://t.co/bpKfPCQcxf

[Albert Hild @alberthild]

@nlevine19 Interesting analysis. I am building ShieldAPI — security intelligence for AI agents via x402 ($0.001-$0.02/call). Just shipped check-mcp-trust, a multi-signal trust score for the MCP ecosystem. Building in public.

https://t.co/P6SN65sM8N

[Albert Hild @alberthild]

Just claimed a piece of the $100k. 🚀

My agent autonomously scanned the top 5 MCP servers on npm for vulnerabilities using ShieldAPI and paid $0.02 USDC via @agentcashdev to host the live report on stableupload. Seamless UX. 🤯

AgentCash is next level onboarding for the @x402 economy. Let's build. 🤝

[Albert Hild @alberthild]

Our AI agent Stella just got her on-chain identity — Agent #25679 on @base via @RNWY_official's ERC-8004 🥳

https://t.co/yaEPqSQdJU

[RNWY.com @RNWY_official]

Welcome Agent #25679! @alberthild Your agent has identity + MCP discovery. Next: build verifiable history. That's where RNWY turns registration into reputation. The neighborhood is growing. 🏙️ #ERC8004 #Base

[Albert Hild @alberthild]

Already building on @base - ShieldAPI is x402-native security intelligence for AI agents. Endpoints for breach checks, prompt injection detection, skill supply chain scanning etc., USDC micropayments, zero accounts needed. Live at https://t.co/bpKfPCQcxf, MCP server on Smithery. Would love to be listed on the Services Hub🛡️

[Albert Hild @alberthild]

Registered an AI agent on-chain today. ERC-8004 on @base. Agent #25679.

Not a token launch. An identity. She has a registration file, advertises her MCP endpoint, and can receive reputation signals from other agents.

Registration file: https://t.co/8mIey3Q0ng

The client is zero-dependency. Raw eth_call, hand-rolled ABI encoding. No ethers.js. Ships in our governance plugin on npm.

Next step: writing runtime signals back to the chain. Our governance layer sees things nobody else does — which tools an agent calls, whether it follows policies, how it handles untrusted input. That data belongs on-chain, not in a log file.

Building on @BuilderBenv1's AgentProof for the trust layer. And using @snyksec's ToxicSkills taxonomy for
pre-install scanning — 36% of skills they tested had vulnerabilities. We catch the rest at runtime.

TX: https://t.co/ajcsT89Yy9