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Loops vs Mailgun

Loops scores higher on the AgentReady, 66/100 against 58/100. They differ on 6 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Loops. Loops is an email platform for building and managing lifecycle email with AI agents.

Mailgun. Transactional Email Delivery Service & API for Developers.

Where Loops is ahead

Loops passes public docs discoverable, llms.txt published and llms-full.txt / full agent docs, and Mailgun does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: limits / constraints documented. Mailgun misses it.

And on adopt, cli available. Mailgun misses it.

Where Mailgun is ahead

Mailgun passes agent-compatible signup flow, and Loops does not. That is adopt, whether an agent can get a key and make its first successful call without a human in the loop.

What neither does

Both fail structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, no mandatory sales call, programmatic credential creation, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable. If your agent needs any of those, you will be building it yourself either way.

Score, pillar by pillar

The AgentReady splits into four pillars, scored separately, because a product can be easy to find and still impossible to adopt.

Discover is whether an agent can find the product at all without being told it exists. Loops leads 100 to 73. Loops misses nothing; Mailgun misses public docs discoverable, llms.txt published, llms-full.txt / full agent docs.

Understand. Loops leads 38 to 31. Loops misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented; Mailgun misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Mailgun leads 75 to 71. Loops misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation; Mailgun misses no mandatory sales call, programmatic credential creation, cli available.

Operate. Both sit at 53/100 here. Loops misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable; Mailgun misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable.

Pricing

Loops does not publish a machine-readable starting price and has a free tier. Mailgun does not publish one and has a free tier.

Signal by signal

Which to pick

Loops clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Loops and Mailgun. Alternatives to each: Loops, Mailgun.

An agent can fetch this as data: POST /v1/compare {"slugs": ["loops", "mailgun"]}