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DigitalOcean vs Koyeb

DigitalOcean scores higher on the AgentReady, 59/100 against 57/100. They differ on 8 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

DigitalOcean. DigitalOcean is an AI-Native Cloud platform providing one integrated platform from silicon to agent, with economics that improve as you scale.

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

Where DigitalOcean is ahead

DigitalOcean 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 operate: agent compatibility verified. Koyeb misses it.

Where Koyeb is ahead

Koyeb passes machine-readable metadata, and DigitalOcean does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: pricing understandable. DigitalOcean misses it.

And on adopt, no mandatory sales call and free trial or free allowance. DigitalOcean misses those.

What neither does

Both fail structured api reference, openapi / spec quality, authentication documented, 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. DigitalOcean leads 93 to 80. DigitalOcean misses machine-readable metadata; Koyeb misses clear canonical domain, llms.txt published, llms-full.txt / full agent docs.

Understand. Koyeb leads 23 to 15. DigitalOcean misses structured api reference, openapi / spec quality, authentication documented, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Koyeb misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Koyeb leads 90 to 75. DigitalOcean misses no mandatory sales call, programmatic credential creation, free trial or free allowance; Koyeb misses programmatic credential creation.

Operate is whether an agent can run against it in production and recover when a call fails. DigitalOcean leads 53 to 35. DigitalOcean misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable; Koyeb misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

DigitalOcean does not publish a machine-readable starting price. Koyeb does not publish one and has a free tier.

Signal by signal

Which to pick

Signal counts are level here, so fit and price decide it. Full profiles: DigitalOcean and Koyeb. Alternatives to each: DigitalOcean, Koyeb.

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