MailgentMailgent
Customer Support

The email infrastructure
for autonomous customer support.

Developers building support agents need primitives to read incoming tickets, reply with answers, and label conversations by priority. Mailgent provides the email API your agent needs to triage and respond to support requests without a human in the loop.

mail.list_messagesmail.get_threadmail.replymail.update_labels

API Primitives used

mail.list_messages

Read incoming tickets

List new messages in the support inbox. Filter by label, date, or sender to prioritize.

mail.get_thread

Load full context

Retrieve the entire conversation thread so your agent has full context before responding.

mail.reply

Send responses

Reply in-thread to keep conversations organized. Your agent responds from a dedicated support identity.

mail.update_labels

Triage and escalate

Label threads by priority, category, or escalation status. Route urgent issues to humans.

Support queues grow faster than teams can hire.

Every support team hits the same ceiling: ticket volume grows linearly with customers, but headcount cannot keep up. Response times climb, customer satisfaction drops, and repetitive questions — password resets, billing inquiries, how-to guides — consume the time your senior agents should spend on complex issues.

Developers building AI support agents need email infrastructure that reads tickets, replies in-thread, and labels conversations for routing. Mailgent provides these primitives — mail.list_messages for ingestion, mail.get_thread for context, mail.reply for responses, and mail.update_labels for triage.

How to build it.

01mail.list_messages

Ingest new tickets

Your agent polls the support inbox with mail.list_messages, pulling new messages since the last check. It filters by label to separate new tickets from ongoing conversations.

02mail.reply

Analyze and respond

The agent loads full thread context with mail.get_thread, classifies the issue, and replies with a resolution using mail.reply. Responses stay threaded for clean customer experience.

03mail.update_labels

Label and route

The agent labels each thread — resolved, needs-human, urgent, billing. Complex issues get escalated to the right team automatically.

Example prompt

Check the support inbox for new tickets. Answer any password reset or billing questions directly. Label anything about data deletion as 'urgent' and forward to the compliance team.

What developers build.

Tier-1 auto-response

Build agents that handle password resets, billing questions, and how-to inquiries automatically — the 60% of tickets that have well-documented answers in your knowledge base.

Intelligent escalation

Build agents that read ticket content, detect urgency or complexity, and route to specialized human agents with full context attached.

Follow-up on open tickets

Build agents that check in on unresolved tickets after 48 hours, ask if the issue was resolved, and close threads that go stale.

Multi-language support

Build agents that detect the customer's language from incoming mail, compose responses in the same language, and label threads by locale for handoff to regional support teams.

Why not use a helpdesk platform?

Helpdesk platforms give you a UI for humans to manage tickets. They are not designed as infrastructure for autonomous agents. Their APIs are an afterthought — rate-limited, poorly documented, and built around human workflows.

Mailgent gives you email primitives designed for agents from the ground up. mail.list_messages, mail.reply, and mail.update_labels are the building blocks. Your agent decides the logic — what to answer, what to escalate, how to triage.

Isolated inboxes

Support agents operate in their own identity. Customer data never crosses into sales or internal mailboxes.

Label-based access

Control which labels and threads each agent can access. Scope permissions to match your support tiers.

Full audit trail

Every reply sent and label applied is logged. Review exactly what your agent told customers and when.

Related use cases

Scale support without scaling headcount.

Autonomously.