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Hyperbolic vs Split

Hyperbolic scores higher on the AgentReady, 58/100 against 45/100. 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

Hyperbolic. Hyperbolic is an AI cloud platform for training, fine-tuning, and serving AI models at scale.

Split. Split is a feature management and experimentation platform that helps engineering teams move faster by creating, targeting, and managing feature flags at enterprise scale.

Where Hyperbolic is ahead

Hyperbolic passes clear product positioning and llms-full.txt / full agent docs, and Split 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. Split misses it.

And on adopt, self-service signup, no mandatory sales call and fast time to first request. Split misses those.

Finally, on operate, structured, predictable output. Split misses it.

Where Split is ahead

Split passes authentication documented, and Hyperbolic does not. That is understand, whether an agent can read the docs and work out how the API behaves before calling it.

It also holds adopt: cli available. Hyperbolic misses it.

And on operate, observable execution. Hyperbolic misses it.

What neither does

Both fail mcp discoverable, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, programmatic credential creation, mcp integration available, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified. 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. Hyperbolic leads 87 to 67. Hyperbolic misses mcp discoverable; Split misses clear product positioning, llms-full.txt / full agent docs, mcp discoverable.

Understand. Hyperbolic leads 38 to 31. Hyperbolic misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Split misses structured api reference, openapi / spec quality, 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. Hyperbolic leads 70 to 45. Hyperbolic misses programmatic credential creation, cli available, mcp integration available; Split misses self-service signup, no mandatory sales call, programmatic credential creation, fast time to first request, mcp integration available.

Operate. Both sit at 35/100 here. Hyperbolic misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; Split misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Hyperbolic does not publish a machine-readable starting price with no free tier. Split does not publish one and has a free tier.

Signal by signal

Which to pick

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

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