Inferock
A serverless LLM inference platform billed by token that supports aggregation of calls to multiple models and bring-your-own-key (BYOK), and automatically returns credits for qualifying failed requests.
Timeline (last 90 days)
Inferock is a serverless LLM inference platform that uses a token-based billing model.
Inferock returns the corresponding credits for qualifying failed requests when a call fails.
Inferock supports a Bring Your Own Keys model, where developers can connect their own OpenAI, Claude, or Gemini accounts and run calls uniformly through Inferock.
Inferock offers sign-up bonus credits, allowing developers to get the flow working end to end without binding a payment method.
Inferock's credit refund mechanism is essentially a service level credit (SLA credit), and it automates and front-loads the compensation process, turning compensation from a passive complaint into the default behavior.
On top of the BYOK model, Inferock has built a cross-vendor abstraction layer that normalizes the request formats, error codes, and usage fields of different APIs, thereby supporting comparison of failure rates and per-call costs in one place.
Inferock targets developers and teams that need to frequently switch between or call multiple LLMs in parallel, and its incremental value is limited for developers who only occasionally call a single model API.
All Facts (7)
Inferock is a serverless LLM inference platform that uses a token-based billing model.
50%UnverifiedInferock returns the corresponding credits for qualifying failed requests when a call fails.
50%UnverifiedInferock supports a Bring Your Own Keys model, where developers can connect their own OpenAI, Claude, or Gemini accounts and run calls uniformly through Inferock.
50%UnverifiedInferock offers sign-up bonus credits, allowing developers to get the flow working end to end without binding a payment method.
50%UnverifiedInferock's credit refund mechanism is essentially a service level credit (SLA credit), and it automates and front-loads the compensation process, turning compensation from a passive complaint into the default behavior.
50%UnverifiedOn top of the BYOK model, Inferock has built a cross-vendor abstraction layer that normalizes the request formats, error codes, and usage fields of different APIs, thereby supporting comparison of failure rates and per-call costs in one place.
50%UnverifiedInferock targets developers and teams that need to frequently switch between or call multiple LLMs in parallel, and its incremental value is limited for developers who only occasionally call a single model API.
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