
reAPI is a unified AI API platform that lets developers access image generation, video generation, language models, and audio from multiple providers using one API key and one prepaid balance. It enables users to explore and try models in a browser, then connect them to applications via the API. The platform aims to simplify model discovery, access, and usage across complex AI workflows.
Users can preview model capabilities, inputs, and pricing on model pages, then choose models for a workflow or combine them in larger tasks. The browser playground helps estimate costs before generating results, and API access allows integration into applications. The system tracks usage and credits in a dashboard, enabling centralized management of AI workloads.
reAPI coordinates models behind a single standard endpoint and offers pay-as-you-go credits, no subscriptions, and a shared prepaid balance across models. It supports generation tasks in image, video, text, and audio, with usage and costs visible in the dashboard. If a generation task fails, reserved credits are automatically refunded. The platform emphasizes ease of use and workflow consolidation across providers.
Common questions describe the vendor-agnostic model catalog, how to start with a quickstart, and how pricing and credits work. The documentation covers model pages, per-model request schemas, and how to retrieve results by task ID. It also explains the relationship between the user’s API key and the models accessed through reAPI, and how to handle failures and refunds.
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