Most AI agent email infrastructure focuses on inbound — receiving OTPs, verification links, and notifications. But a growing class of AI agents needs outbound capability too: agents that nurture leads, send personalized follow-ups, or run automated marketing campaigns on behalf of users.

The AgentMailr Outbound Stack

AgentMailr provides two outbound primitives:

  1. Transactional sending — POST /v1/inboxes/:id/send for individual emails from a specific agent address
  2. Bulk campaign sending — POST /v1/contact-lists/:id/send for broadcasting to a contact list

Building an Agent-Driven Campaign

import { AgentMailr } from "@agentmailr/sdk";

const client = new AgentMailr({ apiKey: "ak_your_key" });

// 1. Create or retrieve a contact list
const list = await client.contactLists.create({ name: "Q2 Prospects" });

// 2. Add contacts (bulk import)
await client.contacts.bulkAdd(list.id, [
  { email: "alice@acme.com", name: "Alice", metadata: { company: "Acme" } },
  { email: "bob@corp.io",    name: "Bob",   metadata: { company: "Corp" } },
]);

// 3. Send the campaign from an agent inbox
const inbox = await client.inboxes.get("inb_abc123");
await client.contactLists.sendCampaign(list.id, {
  from_inbox_id: inbox.id,
  subject: "Your Q2 infrastructure review",
  html: "
Hi {{name}}, ...
",
});

Personalization at Scale

The {{name}} and {{metadata.*}} template syntax is resolved per-recipient at send time. An AI agent can generate personalized HTML content per segment, then send each variant to a different contact list — all without human involvement.

Compliance by Default

AgentMailr enforces one-click unsubscribe headers (RFC 8058) on all bulk sends automatically. An AI agent cannot accidentally send non-compliant email. Unsubscribe events are tracked and suppressed from future sends, ensuring your contact lists stay clean without manual maintenance.

The Agent Use Case

A typical agent-driven pipeline looks like this: a research agent identifies prospects, an enrichment agent adds company context, a copywriting agent generates personalized email content, and AgentMailr delivers it — all in an automated loop with no human in the critical path. The human reviews results and approves the next campaign batch.