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Mails.ai

The AI email API for agents and developers. Email infrastructure built specifically for AI — drop ~6 lines into any agent and it gets a working email address with parsing, identity, and reputation built in. Typed reply events, per-agent reputation graph, native prompt-injection scanning, MCP-native distribution. Self-serve signup, no contact-sales gate, and sending works immediately — no approval queue. Each agent can be held to the domains you allow and to its own hourly and daily send caps, wh

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https://mails.ai/llms.txt
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AI and machine learning
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Documentation: developer or product docs worth reading, nothing to call
First seen
2026-10-19T10:44:30.299Z
Last checked
2026-10-21T11:46:48.933Z
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The beginning of the file, from our validated copy saved 2026-10-21T11:46:47.599Z. Cached copy · Source on mails.ai

# Mails.ai

> The AI email API for agents and developers. Email infrastructure built specifically for AI — drop ~6 lines into any agent and it gets a working email address with parsing, identity, and reputation built in. Typed reply events, per-agent reputation graph, native prompt-injection scanning, MCP-native distribution. Self-serve signup, no contact-sales gate, and sending works immediately — no approval queue. Each agent can be held to the domains you allow and to its own hourly and daily send caps, which its own key cannot loosen.

## API
Base URL https://api.mails.ai — all endpoints under /v1 — auth header: Authorization: Bearer mk_live_<key>.
Send: POST /v1/messages with JSON { agent, to, subject, body_text }. Returns the sent message (id, status, cost_usd).
Receive: GET /v1/events?event_type=message.received, live tail GET /v1/events/stream (SSE), or register a webhook with POST /v1/webhooks.
- [API quickstart](https://mails.ai/docs/quickstart): Key, agent, first send, first reply event — five minutes.
- [API reference](https://mails.ai/docs/api-reference): Every REST endpoint with exact request and response fields.
- [Docs as Markdown](https://mails.ai/docs/llms.txt): Every docs page as a plain Markdown link, in the docs' own order.
Open source (MIT): the MCP server, the TypeScript SDK and the Python SDK are public at https://github.com/mailsai/mailsai, with six runnable examples (first send, inbox loop, the injection firewall, OpenAI Agents SDK, LangGraph, MCP client config). The API implementation itself is closed.
- [Source code and examples](https://github.com/mailsai/mailsai): MIT-licensed MCP server, TypeScript and Python SDKs, and six runnable examples you can execute on a test key.

## Background
- [Architecture](https://mails.ai/architecture): How sends and replies flow — send pipeline, typed reply events, per-agent reputation graph, multi-vendor failover.
- [Use cases](https://mails.ai/use-cases): Four named agents on one primitive — support, notifications, doc-parse, browser 2FA.
- [Pricing](https://mails.ai/pricing): Self-serve only. Free 3K emails + 3K inbound / Pro $20 (50K emails + 50K inbound) / Scale $99 (250K + 500K), monthly or yearly (two months free). Dedicated IP available on request. No Enterprise gate.
- [About](https://mails.ai/about): What we are, what we ship, how we operate, what we don't do.
- [Trust](https://mails.ai/trust): Security posture, sub-processors, compliance status.
- [Sub-processors](https://mails.ai/sub-processors): Vendors that process customer data on our behalf.

## Comparisons
- [vs AgentMail](https://mails.ai/vs/agentmail): AgentMail and Mails.ai both ship programmatic agent inboxes — the same primitive, different design choices. AgentMail is funded, in-market, and has 500+ B2B customers. Mails.ai goes deeper on typed reply events, prompt-injection scanning and per-agent reputation, and Scale includes unlimited agents.
- [vs Resend](https://mails.ai/vs/resend): Resend is the dev-loved mo
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