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DigitalOcean vs Fly.io

DigitalOcean scores higher on the AgentReady, 59/100 against 53/100. They differ on 7 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.

Fly.io. Fly.io provides real hardware-isolated Linux computers (called Sprites and Machines) for agents, evals, and tools, with a pay-as-you-go model where billing goes to zero when not in use.

Where DigitalOcean is ahead

DigitalOcean passes clear product positioning and llms-full.txt / full agent docs, and Fly.io does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds adopt: agent-compatible signup flow, fast time to first request and copyable quickstart. Fly.io misses those.

Where Fly.io is ahead

Fly.io 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.

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, no mandatory sales call, programmatic credential creation, free trial or free allowance, 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; Fly.io misses clear product positioning, llms-full.txt / full agent docs.

Understand. Fly.io 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; Fly.io misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt is whether an agent can get a key and make its first successful call without a human in the loop. DigitalOcean leads 75 to 55. DigitalOcean misses no mandatory sales call, programmatic credential creation, free trial or free allowance; Fly.io misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, free trial or free allowance, fast time to first request, copyable quickstart.

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

Pricing

DigitalOcean does not publish a machine-readable starting price. Fly.io starts at $29/mo.

Signal by signal

Which to pick

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

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