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reAPI

reAPI — One API for Every Top AI Model, 99.96% Uptime

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reAPI
reAPI website

About reAPI

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.

Use cases

  • A developer uses a single API key to access multiple AI models for an end-to-end workflow across image, video, and text tasks.
  • A product team tests image generation in the browser before integrating via API into a creative workflow.

Key features

  • Automatic failover and redundancy
  • Per-key spend caps and centralized billing
  • Region pinning for data locality
  • Audit-only logging for billing events
  • Idempotent retries to avoid double charges
  • Streaming, tools, and multimodal support

Pros and cons

Pros

Unified access to multiple AI providers behind one API key
Automatic failover with high uptime

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Frequently asked questions

What does reAPI actually do for each call?
reAPI reads the model name in your request, looks at vendor health, current latency, and current load, and hands the call to whichever candidate is most likely to return cleanly fastest.
Do you keep my requests or responses?
No. Request bodies and model outputs travel through the AI API aggregator but are never persisted.
How does reAPI pricing work?
Pay-as-you-go credits, priced per completed generation — per token, image, or video second depending on the model.
What happens if a generation fails?
A task that ends with a failed status automatically returns its reserved credits.

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