HiAPI is a unified developer gateway that simplifies generative AI integration by providing a single API for leading image, video, and audio models with built-in persistent storage.
What the product does and how it is positioned
HiAPI is a developer-first platform providing one OpenAI-compatible API for image, video, music, and text generation models. It offers unified billing, public docs, OpenAPI support, remote MCP access and transparent pay-as-you-go pricing.
HiAPI serves as a centralized infrastructure layer for generative AI, consolidating models from providers like OpenAI, Google, ByteDance, and Alibaba into a single interface. It is designed to streamline the development of media-heavy applications by standardizing how tasks are submitted, tracked, and stored.
The platform emphasizes production reliability through features like availability-first routing and asynchronous callbacks. By handling the hosting of generated artifacts and providing specialized tools for AI agents, it reduces the engineering overhead typically associated with managing multiple disparate AI model providers.
Source-supported ways to use the product
The official customer story reports that video SaaS teams use the platform to test multiple video models quickly while skipping the need to build custom storage paths for every provider.
The company presents this as a use case where persistent artifact links allow teams to pass generated assets seamlessly between campaign tools and downstream automation.
Agent workflow teams utilize the task API and callbacks to give autonomous agents a structured way to request, wait for, and retrieve generated media.
The documented workflow, where available
Submit a POST request to the unified tasks endpoint specifying the model name, input prompts, and optional storage or callback parameters.
Monitor the generation progress using the returned task ID or wait for an automated HTTP callback to a specified URL upon completion.
Access the final generated image, video, or audio file through the persistent, durable links provided in the task response.
HiAPI is built to be discoverable and controllable by AI agents like Claude, Cursor, and Codex. It provides a structured documentation index via llms.txt, which allows agents to programmatically understand available models and their specific capabilities.
Beyond standard API access, the platform supports the Model Context Protocol (MCP) and 'Skills.' These provide agents with pre-defined instructions and tools to execute complex generation workflows without manual developer intervention.
Human-maintained commercial information
Pricing can change. Confirm the current plan and billing terms on the official site before purchasing.
Checks to run with your own material and workflow
What was checked and when
Answers based on the source-checked product record
HiAPI supports a wide range of generative models for image, video, audio, and text, including GPT Image 2, FLUX 1.1 Pro, Seedance, and ElevenLabs.
When the storage parameter is set to persistent, the API returns durable links for generated artifacts, eliminating the need for users to maintain their own storage buckets.
Yes, the platform supports webhooks through a callback field, allowing your application to be notified automatically upon task completion instead of polling for status.
HiAPI provides standardized integration paths for agents using Model Context Protocol (MCP), reusable Skills, and a dedicated llms.txt documentation index.
The service uses availability-first routing to ensure stable access and provides 24/7 support to assist with production integration and operational stability.
