For support agents
Email API for AI customer support agents
Build AI customer support agents that read inbound email, draft thoughtful replies, and learn from human edits before sending. Real inbox per agent, full thread state, drafts API for human-in-the-loop.
The problem
A modern AI customer support agent isn't a one-shot reply — it's a stateful loop:
- Email arrives at
[email protected] - Agent reads it, classifies intent, fetches context (account state, recent invoices, prior tickets)
- Drafts a reply with the right tone and the right facts
- Either sends directly OR queues for human review (depending on the customer's confidence threshold)
- Stores the resolved thread for fine-tuning + audit
The hard part isn't the LLM call — it's the email infrastructure: receiving real email reliably, threading replies into prior conversations, surfacing drafts for human edit, sending without tripping spam filters, handling bounces gracefully.
What MyAgentMail gives support agents specifically
- Real provisioned inbox at your domain —
[email protected]works end-to-end. Customers email it, your agent reads it, replies thread correctly back to the original sender's inbox. - Full thread state stored —
messages.thread_idgroups inbound + outbound. The agent can fetch the entire conversation history for a customer in one call. - Drafts API for human-in-the-loop — the agent creates a draft (
POST /v1/inboxes/:id/drafts), a human reviews and either sends-as-is or edits, the system tracks who approved what. First-class concept, not a hacky "set a flag in a DB" pattern. - Real-time WebSocket events — when a new inbound email arrives, your agent's worker gets notified within ~1 second via
/v1/ws. No polling. No webhook retry loop. - Read receipts (open + click tracking) so the agent can tell whether a customer actually opened the reply they sent.
- Threaded reply with proper headers —
In-Reply-To+Referencesheaders preserved across the whole thread so the customer's mail client (Gmail, Outlook, Apple Mail) renders the conversation correctly. - Bounce + complaint pipeline — if a customer's address starts bouncing (left the company, mailbox full), your agent gets notified and can update the customer record.
Sketch
import { MyAgentMail } from "myagentmail";
const mam = new MyAgentMail({ apiKey: process.env.MAM_KEY });
// 1. Provision the support inbox once.
const inbox = await mam.inboxes.create({
username: "support",
domain: "yourcompany.com",
});
// 2. Subscribe to inbound email — drives the agent loop.
await mam.webhooks.create({
url: "https://your-app.com/hooks/support",
events: ["message.received"],
inboxId: inbox.id,
});
// Your handler:
app.post("/hooks/support", async (req, res) => {
const { messageId, inboxId } = req.body;
const message = await mam.messages.get(inboxId, messageId);
// 3. Generate a reply with your LLM.
const draft = await llm.generate({
customerMessage: message.plainBody,
threadHistory: await mam.messages.threadList(inboxId, message.threadId),
customerContext: await fetchAccountContext(message.from),
});
// 4. If high confidence → send directly. If lower → save as draft.
if (draft.confidence > 0.85) {
await mam.messages.reply(inboxId, messageId, {
plainBody: draft.text,
htmlBody: draft.html,
});
} else {
await mam.drafts.create(inboxId, {
to: message.from,
subject: `Re: ${message.subject}`,
plainBody: draft.text,
htmlBody: draft.html,
// Store the agent's reasoning so the human reviewer has context
metadata: { confidence: draft.confidence, llmReasoning: draft.reasoning },
});
await pingHumanReviewer({ messageId });
}
res.json({ ok: true });
});
Why this beats Resend / Postmark for support agents
Both are excellent transactional senders but support has different requirements:
- Resend / Postmark have inbound webhooks but no stored inbox. You'd build the threading + history layer yourself.
- Drafts as a primitive — neither Resend nor Postmark have a drafts API. You'd build it. We treat it as a first-class concept because human-in-the-loop is the dominant support agent pattern.
- Real IMAP fallback — if your support agent goes down, a human can SSH-style log into the inbox via IMAP and respond. We provide that; pure-API senders don't.
Where this is NOT the right fit
- Native Helpdesk integration. If you're building on top of Zendesk/Intercom/HelpScout, use their APIs — they're optimized for that workflow.
- Live chat. We do email. Live chat is a different shape.
- Voice / phone-tree support. Different infrastructure entirely.
Pricing
Email module: $5/month per inbox. 7-day free trial. See /pricing for higher-volume tiers.
Related
Other use cases
- For cold outreachBuild your own cold outreach system on MyAgentMailCold email + LinkedIn outreach infrastructure for indie hackers and small teams. Provisioned inboxes, real LinkedIn sessions, intent signals, server-side cadence engine. Drop-in alternative to Lemlist, Apollo, Instantly — with full data ownership.
- For recruiting agentsEmail + LinkedIn API for AI recruiting agentsSource candidates from LinkedIn, message them with personalized outreach, follow up over email when a connection accepts. Reply detection, multi-account quotas, and intent signals built in.
- For sales agentsEmail + LinkedIn API for AI sales agentsBuild AI sales agents that actually work leads end-to-end — connect on LinkedIn, send personalized email, detect replies, branch the cadence, and follow up at the right moment. One API key, two channels, multi-tenant ready.
- For SaaS buildersMulti-tenant email + LinkedIn API for SaaS buildersBuild SaaS products that give each customer their own provisioned inbox and connected LinkedIn account. Workspace-isolated keys, per-tenant rate limits, scoped billing structures — multi-tenancy is first-class, not an afterthought.
- For transactional emailTransactional email API for AI-powered appsSend password resets, receipts, and notifications from AI-built apps. Provisioned inbox, custom domain, ZeptoMail-backed deliverability, and per-send open + click tracking with optional opt-out for privacy-sensitive sends.
Last reviewed 2026-05-02.