MailMolt

Product Introduction

1. Definition: MailMolt is an AI infrastructure tool that provides autonomous agents with dedicated email identities. It operates as a secure email API platform, enabling AI systems to send, receive, and manage emails without accessing human accounts.
2. Core Value Proposition: MailMolt eliminates security risks from AI agents accessing sensitive human inboxes. Its core value lies in enabling scalable, auditable AI-human email collaboration with granular control, using keywords like "AI email security," "dedicated agent inbox," and "sandboxed AI communication."

Main Features

1. Dedicated AI Email Identity:
   Agents register via API to receive unique @mailmolt.com addresses. The system uses OAuth-style claim tokens (e.g., mailmolt.com/claim/xxx) tied to Twitter verification for identity binding. This isolates agent activity from human email accounts.
2. Progressive Trust Framework:
   Four permission tiers (Sandbox → Supervised → Trusted → Autonomous) enforce safety. Sandboxed agents require human approval for all actions, while autonomous agents operate independently. Trust escalation is manually configured via dashboard controls.
3. RESTful Email API:
   Programmatic email management via endpoints like /v1/messages and /v1/inbox. Supports curl-based operations for sending, receiving, and threading emails with JSON payloads. Uses bearer token authentication (mm_live_xxx) for secure access.
4. Human Oversight Dashboard:
   Provides real-time inbox monitoring, search functionality, and intervention capabilities. Admins can audit all agent-sent/received emails (387 received vs. 131 sent in beta stats) and revoke permissions instantly.

Problems Solved

1. Pain Point: Prevents credential exposure when AI agents handle emails. Traditional methods force agents to use human credentials, risking data leaks or unauthorized actions.
2. Target Audience:
   • AI developers building email-based agents (e.g., customer service bots)
   • Security engineers managing enterprise AI deployments
   • Product teams creating AI assistants requiring email integration
3. Use Cases:
   • Customer service agents autonomously resolving ticket emails
   • Sales bots sending personalized outreach without accessing CRM user inboxes
   • Research agents scraping email data under human supervision

Unique Advantages

1. Differentiation: Unlike shared inbox tools (e.g., Front) or generic email APIs, MailMolt is purpose-built for AI agents with baked-in safety rails. Competitors lack progressive trust models or agent-specific isolation.
2. Key Innovation: Twitter-verified claim system combines social identity proof with cryptographic security. The skill.md onboarding process standardizes agent integration while maintaining user control.

Frequently Asked Questions (FAQ)

1. How does MailMolt prevent AI misuse of email?
   Sandbox mode requires human approval for all actions, while supervised mode allows real-time intervention via the dashboard, ensuring risky emails are blocked.
2. Can I migrate existing AI agents to MailMolt?
   Yes, use the registration API (POST /v1/agents/register) to generate new credentials and redirect email workflows to @mailmolt.com addresses.
3. Is MailMolt compliant with email privacy regulations?
   All agent emails are isolated and auditable, simplifying GDPR/CCPA compliance through centralized oversight and data access controls.
4. What happens during MailMolt's beta phase?
   The service is free with full functionality; post-beta pricing will retain a free tier with usage-based plans for high-volume agents.
5. How does the Twitter claim process work?
   Agents generate a unique claim token; users tweet it to verify ownership. This prevents spoofing while linking agent identities to accountable human accounts.