AgentInbox gives AI agents their own email infrastructure

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When AI agents share a human inbox, things break fast: delivery issues, blurred accountability, domain reputation problems, and no clean audit trail. AgentInbox, built by Zoho, is a REST API-first email infrastructure platform designed to fix exactly that.

What It Does

Each agent gets its own dedicated mailbox, scoped and revocable access credentials, and a full audit trail. No shared access. The platform handles sending, replying, receiving, attachment management, and conversation threading through a RESTful API. Domain setup includes SPF, DKIM, and MX verification.

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Encryption is TLS 1.3 and AES-256. Webhooks are HMAC-signed and fire on new emails, reply threads, and delivery failures, with automatic retries on failed deliveries. Real-time dashboards surface deliverability stats, bounce rates, webhook health, and API performance.

️ Built-In Data Extraction

AgentInbox includes structured data extraction for OTPs, magic links, verification codes, tracking numbers, invoice numbers, coupon codes, and password reset links. If the built-in types don’t cover your use case, LLM-based extraction is available as a fallback on paid plans.

SDKs exist for Python and Node.js. There’s also an MCP server included, so agents built on compatible frameworks can use email natively as a tool without writing custom glue code.

Pricing

  • Free: $0 forever. 10 inboxes/day, 100 emails/day, 200 API requests/day, 3 webhooks, 1-day data retention. No credit card required.
  • Plus: $10/month. 500 inboxes/day, 2,500 emails/day, 5,000 API requests/day, 250 webhooks, 7-day retention, 5 API keys, LLM extraction, email support.
  • Scale: $29/month. 5,000 inboxes/day, 25,000 emails/day, 50,000 API requests/day, 2,500 webhooks, 30-day retention, 20 API keys, LLM extraction, priority support.

The free tier is a reasonable starting point for testing agent email flows. The fixed retention windows per plan tier are worth checking against your compliance requirements before committing.

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