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Koyeb vs Vercel

Vercel scores higher on the AgentReady, 93/100 against 57/100. They differ on 15 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Koyeb. Developer-friendly serverless platform designed to let businesses and developers easily deploy reliable and scalable applications globally, with high-performance infrastructure for AI inference, sandboxes, and microservices on CPUs, GPUs, and accelerators

Vercel. Vercel is a cloud platform for deploying and scaling web applications, with infrastructure that supports AI agents and applications that scale from zero to millions instantly.

Where Koyeb is ahead

Koyeb passes search discoverable and public docs discoverable, and Vercel does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds adopt: no mandatory sales call, fast time to first request, copyable quickstart, official typescript sdk and official python sdk. Vercel misses those.

And on operate, canonical workflow succeeds and observable execution. Vercel misses those.

Where Vercel is ahead

Vercel passes clear canonical domain, llms.txt published and llms-full.txt / full agent docs, and Koyeb does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: structured api reference and authentication documented. Koyeb misses those.

And on operate, agent compatibility verified. Koyeb misses it.

What neither does

Both fail openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, 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. Vercel leads 100 to 80. Koyeb misses clear canonical domain, llms.txt published, llms-full.txt / full agent docs; Vercel misses search discoverable, public docs discoverable.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. Vercel leads 92 to 23. Koyeb misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Vercel misses openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Vercel leads 100 to 90. Koyeb misses programmatic credential creation; Vercel misses no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, official typescript sdk, official python sdk.

Operate. Vercel leads 78 to 35. Koyeb misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Vercel misses canonical workflow succeeds, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution.

Pricing

Koyeb does not publish a machine-readable starting price and has a free tier. Vercel starts at $20/mo. and has a free tier.

Signal by signal

Which to pick

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

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