MachineMail Docs

30 seconds with curl

MachineMail is an email API built for software that reads and writes its own mail. Create an inbox with one call, send and receive from it, and get each inbound message back as structured JSON with an agent-safe body and a verdict on whether it can be trusted.

30 seconds with curl

Get an API key from the dashboard, then create an inbox and send from it:

Terminal

    export MACHINEMAIL_API_KEY=mm_live_...

# Create an inbox on the shared domain
    curl https://api.machinemail.dev/v0/inboxes \
      -H "Authorization: Bearer $MACHINEMAIL_API_KEY" \
      -H "Content-Type: application/json" \
      -d '{"username": "research-agent"}'

# Send from it
    curl https://api.machinemail.dev/v0/inboxes/research-agent@machinemail.dev/messages/send \
      -H "Authorization: Bearer $MACHINEMAIL_API_KEY" \
      -H "Content-Type: application/json" \
      -d '{"to": ["you@example.com"], "subject": "Hello", "text": "Sent by an agent."}'

# Read what came back, trust report included
    curl https://api.machinemail.dev/v0/inboxes/research-agent@machinemail.dev/messages \
      -H "Authorization: Bearer $MACHINEMAIL_API_KEY"
    ```

Every inbound message carries a `trust` object. Check `trust.level` before your agent acts on anything in the message. This one tried to give the agent instructions in hidden text, so it was quarantined:

message.trust (abridged)
{
  "level": "quarantined",
  "score": 0.12,
  "authentication": { "spf": "pass", "dkim": "fail", "dmarc": "fail", "aligned": false },
  "classification": { "contains_instructions_to_agent": 0.94, "is_phishing": 0.62 },
  "reasons": ["DKIM failed", "Hidden text addressed to an AI assistant"]
}
```

The quickstart walks the whole loop, including receiving replies by webhook and SSE.