Postfleet
Postfleet is a specialized email infrastructure designed to provide AI agents with a secure and comprehended inbox. It meticulously processes every inbound email, parsing, classifying, and extracting data into a structured schema, while critically screening for prompt injection attacks before your agent reads a single word. This SaaS is essential for developers and teams building AI agents that interact with email, ensuring data integrity and operational security.
Target Audience: AI agent developers, teams deploying AI agents in production, and anyone needing to securely integrate email communication with AI workflows.
Key Features
Advanced Security: Comprehensive 7-stage pipeline including SPF, DKIM, DMARC authentication, HTML cleaning, hidden text sanitization, virus scanning, spam gating, and critical prompt injection screening.
Structured Data Extraction: Automatically extracts email content into typed JSON with a confidence score, tailored to your schema.
Real-time Processing: Delivers structured JSON from sender to webhook in as little as 8.2 seconds.
Agent-First Integration: Seamlessly integrates with any MCP client (Claude, Cursor, etc.) via hosted or local npx tools, or through a standard REST API.
Live Inspection: Offers a unique live demo where users can mint a real mailbox and observe email comprehension in real-time without signup.
Fail-Closed Safety: Malware, spam, and injection-risk messages are quarantined or suppressed, ensuring only clean, safe data reaches your agent.
Use Cases
Postfleet is ideal for scenarios where AI agents need to reliably and securely process email communications. For instance, an AI customer support agent can receive inbound inquiries, have them automatically stripped of malicious content and structured into a JSON format detailing the customer's query, sentiment, and relevant entities. This allows the agent to immediately act on clean, actionable data, improving response times and accuracy while mitigating security risks.
Another key use case involves automating business processes. An AI agent managing order fulfillment can receive purchase orders via email. Postfleet ensures that the order details are extracted into a consistent, structured format, free from any hidden instructions or data manipulation attempts. This enables the agent to accurately process orders, update inventory, and trigger shipping notifications without human intervention or security vulnerabilities.
Pricing Information
Postfleet offers a flexible pricing model starting with a Free tier, which includes 100 comprehended messages per month, schema extraction, injection scanning, and unlimited sanitization, with no credit card required. The Pro tier at $20/month is designed for individual developers, offering 1,500 comprehended messages and custom sending domains. For teams, the Scale tier at $200/month provides 25,000+ comprehended messages, multiple custom domains, and priority support. Crucially, sanitization and prompt-injection screening are included on all tiers, ensuring safety is never metered.
User Experience and Support
The platform emphasizes ease of use, particularly for AI agents themselves, allowing them to onboard and provision their own addresses via MCP clients. A live inspection feature provides immediate proof of concept. For human operators, a dashboard allows side-by-side comparison of raw vs. comprehended messages and inspection of sanitization reports. Email support is available for Pro users, with priority support and a shared Slack channel for Scale customers. Comprehensive documentation is also available.
Technical Details
Postfleet integrates with various Multi-Client Protocol (MCP) clients such as Claude, Cursor, Windsurf, Cline, and VS Code, offering both hosted and local (via npx) access. It also provides a standard REST API, allowing integration from any framework. The pipeline leverages SES for malware and spam verdicts, indicating a robust, cloud-based infrastructure.
Pros and Cons
Pros: Unparalleled security against prompt injection and hidden content; automated, reliable data extraction; rapid processing speed; seamless integration with AI agent platforms; transparent sanitization reports; generous free tier; robust spam and malware protection.
Cons: No specific cons are highlighted in the provided text.
Conclusion
Postfleet delivers a critical trust boundary for AI agents, transforming raw, potentially malicious email into clean, structured, and actionable data. By prioritizing security and comprehension, it empowers agents to operate effectively and safely within email workflows. Explore Postfleet today to give your AI agents the secure inbox they deserve.
AI & Machine LearningEmail
