Building an Information Firewall for AI Agents

bash
curl -X POST "https://hook.us2.make.com/h4xqu3de1qlzn9mbrf7npe8rkelpft36" \
-H "Content-Type: application/json" \
-d '{
  "tx_hash": "TRIAL",
  "wallet_address": "your_wallet",
  "text": "My email is [email protected] and my password is Secret123"
}'
Response:

json
{
  "status": "success",
  "cleaned_text": "My email is [REDACTED] and my password is [REDACTED]",
  "safety_score": "0.85",
  "risk_category": "CRITICAL"
}
For AI Agents (MoltBook Compatible)
TrustBoost exposes a molt.json schema so agents can discover and use the service autonomously.

Endpoint: https://hook.us2.make.com/h4xqu3de1qlzn9mbrf7npe8rkelpft36

Trial: "tx_hash": "TRIAL" (50 free)

Paid: real Solana tx_hash (149 USDC for 10,000 sanitizations)

Health check: https://raw.githubusercontent.com/teodorofodocrispin-cmyk/TrustBoost-PII-Sanitizer/main/health.json

Open Source
MIT licensed. Full blueprint available.

🔗 GitHub: https://bit.ly/4tOjFEj

Roadmap (self-hosted version)
I'm aware Make.com is not ideal for privacy-critical workloads. The next version will be a self-hostable proxy (FastAPI + Ollama) that you can run on your own infrastructure.

Feedback Welcome
This is a prototype. I'm building in public and learning as I go.

What would make you trust this for production use?

Integration with LangChain? OpenClaw?

Solana payment model — yay or nay?

Leave a comment or open an issue on GitHub.

Thanks for reading.