
Resend
Customer.io
Mailmodo
Postmark
MailerLite
Mailgun
MailChimp
We bought a billboard in Times Square and we're letting you advertise your startup on it!It's free.

Nylas Mail
Evolution
Mailbird
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Email infrastructure for AI agents. Inbound is parsed, classified, extracted to your schema — and screened for prompt injection — before your agent reads a word.

Which is more popular?
Based on our record, Loops.so seems to be more popular. It has been mentioned 10 times since March 2021.
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | loops.so | postfleet.ai |
| Pricing | — | |
| Company | — | Startup from the United States · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Loops.so yet.
Postfleet is inbound email infrastructure for AI agents, built on the assumption that any message can be an attack. Every message runs the same pipeline before your agent sees it: SPF/DKIM/DMARC checks, HTML-to-text cleaning, removal of hidden elements, HTML comments and zero-width characters,...
What each product offers, as listed by its team.


No features have been listed yet.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Loops.so and Postfleet.
Postfleet's answer:
It treats an agent's inbox as a trust boundary, not a pipe. Every inbound email is screened for prompt injection, stripped of hidden text, and turned into structured JSON before the agent ever reads it. The unusual part: I red-team the filter with rival models and publish the whole scoreboard, catches and misses both. Screened, never immune.
Postfleet's answer:
Most email APIs for agents hand you the raw body and leave defense to your app layer. Postfleet screens first and fails closed, so flagged mail reaches the agent as inert data instead of trusted content. It's backed by an injection guarantee and a public red-team scoreboard, so the security claim comes with receipts rather than a marketing number.
Postfleet's answer:
Developers building AI agents that receive email: indie hackers, agent-framework builders, and small platform teams wiring an agent to an inbox. People who've read at least one prompt-injection horror story and would rather see published results than take a claim on faith.
Postfleet's answer:
I've spent 18 years building software, the last 6 as an architect drawing trust boundaries between systems that shouldn't blindly trust each other. When I watched people give AI agents email inboxes, I saw the boundary everyone skipped: anyone who can email an agent can drop instructions into its context. Postfleet is that missing boundary.
Postfleet's answer:
Next.js, TypeScript, and Supabase (Postgres), deployed on Vercel. An MCP server so an agent can sign itself up. Anthropic models run the injection scan and schema extraction, Resend/SES handles inbound mail, and ClamAV scans attachments.
Share your experience with using Loops.so and Postfleet. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Start-here: Transactional + newsletter → Resend (3,000/mo, 100/day, 3 domains on Free). Staging inbox → Mailtrap sandbox (tiny on Free). Marketing audience → Loops. OTP texts → Twilio after trial credit. - Source: dev.to / 28 days ago
I thought this would be easy using any of the email marketing tools out there like Resend or Loops, but this was not the case. All of the available tools shockingly handle campaigns at a user instead of organization level. - Source: dev.to / 11 months ago
Previously, I used Loops.so to send out newsletters. However, it involved the tedious task of reformatting the blog post within their campaign editor and re-uploading all media. - Source: dev.to / about 2 years ago
Tracking Postfleet since Aug 2026.
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