AgentMail
by AgentMail · Email inbox API that gives AI agents their own addresses
BenchRank score
Screenshots of AgentMail
Homepage
Overview
AgentMail is an API for creating and operating email inboxes that AI agents own, in the way Gmail serves humans. Inboxes are made with a single API call and cover threads and replies, attachments, drafts, scheduled send, labels, semantic search and realtime events. Access is via REST endpoints, typed SDKs, a CLI and an MCP server, with webhooks and websockets for delivery.
- Best for
- Developers giving AI agents their own email inboxes for two-way threads, attachments and webhooks.
- Pricing
- Free tier for 3 inboxes, then $20/month (Developer) or $200/month (Startup), with custom Enterprise pricing; no annual rates are shown.
- Runs on
- WebCLI
Strengths and trade-offs
Strengths
- Inboxes created in one API call, no domain verification
- Threads, attachments, drafts, realtime events, semantic search
- Typed Python/TypeScript SDKs, a CLI and an MCP server
- Free tier with 3 inboxes and no credit card required
Trade-offs
- Free tier caps at 3 inboxes, 3,000 emails/month and 100 emails/day
- Custom domains start only at the $20/month Developer tier
- SOC 2 report requires the $200/month Startup tier
- SSO, dedicated IPs, EU cloud and SLA are Enterprise, priced on request
How AgentMail markets itself
A structured read of the promise, proof and page design on AgentMail’s captured homepage.
Homepage capture
“Email Inboxes for AI Agents”
- Angle: Developer-first
- Hero: Code snippet
Pricing
Published plans and prices from AgentMail’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The AgentMail pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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Is this your product?
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