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Fly.io vs Ollama

Ollama scores higher on the AgentReady, 59/100 against 53/100. They differ on 10 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

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.

Ollama. Ollama lets you use open models with your coding agents so you can spend less while keeping your data private.

Where Fly.io is ahead

Fly.io passes clear canonical domain and mcp discoverable, and Ollama does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds adopt: mcp integration available. Ollama misses it.

Where Ollama is ahead

Ollama 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 understand: structured api reference. Fly.io misses it.

And on adopt, agent-compatible signup flow, free trial or free allowance, fast time to first request and copyable quickstart. Fly.io misses those.

What neither does

Both fail 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, 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. Both sit at 80/100 here. Fly.io misses clear product positioning, llms-full.txt / full agent docs; Ollama misses clear canonical domain, mcp discoverable.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. Ollama leads 38 to 23. 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; Ollama misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Ollama leads 65 to 55. 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; Ollama misses no mandatory sales call, programmatic credential creation, mcp integration available.

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

Pricing

Fly.io starts at $29/mo. Ollama starts at $0/mo and has a free tier.

Fly.io plansOllama plans
Pay-as-You-Go Infrastructure Usage-basedFree $0
Serious Support $29/monthPro $20/mo or $200/yr ($16.67/mo billed annually)
Machine Reservation Blocks 40% off with reservationMax $100/mo
Enterprise CustomTeam $500/mo
Compliance $99/monthEnterprise Custom

Signal by signal

SignalFly.ioOllama
AgentReady5359
Discovery8080
Understanding2338
Adoption5565
Operability5353
Public APIYesYes
MCP serverYesNo
OpenAPI specUnknownYes
CLIYesYes
llms.txtYesYes
Self-serve signupYesYes
Free tierUnknownYes

Which to pick

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

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