HiAPI

HiAPI is a developer-first AI API platform that fundamentally simplifies how you integrate generative AI into your applications. Instead of managing multiple API keys, disparate billing systems, and incompatible request formats for different AI models, HiAPI provides a single, unified gateway. You get one API key, one consistent endpoint, and one billing system to access a curated selection of leading models for image, video, and audio generation. This platform is built for developers who need to ship production-grade AI features without the overhead of managing complex integrations. The core value proposition is undeniable: eliminate the friction of multi-model orchestration. With HiAPI, you call any model using OpenAI-compatible requests, meaning your existing code and libraries work immediately. Every output is returned as a persistent artifact link, removing the need to build and maintain your own storage infrastructure. Furthermore, the platform is designed to be AI Agent friendly, supporting MCP, Skills, and llms.txt for seamless integration with modern agentic workflows. For developers prioritizing speed, reliability, and cost predictability, HiAPI is not just a convenience; it is an essential tool for bringing AI-powered features to market faster and with less operational burden. The platform now supports powerful new models like Seedream 5.0 Pro, further expanding its capabilities for high-quality text-to-image and image-to-image generation.

Unified API and One Endpoint

This is the foundational feature that makes HiAPI indispensable. Instead of learning and managing a dozen different API schemas, you interact with a single, consistent endpoint for every model. You simply pass the model name (e.g., gpt-image-2/text-to-image or seedream-5.0/text-to-image) and the model-specific input parameters. This dramatically reduces code complexity and development time. Your application logic remains clean and focused on the task, not on the integration details. You can swap models for A/B testing or performance optimization by changing a single string in your request, without rewriting any integration code. This unified approach is the key to rapid prototyping and scalable production deployments.

Persistent Artifact Storage

Every output from HiAPI is returned as a durable, persistent link. This is a critical feature that eliminates a major pain point for developers. You no longer need to build, secure, or manage your own storage solution for generated images, videos, or audio files. The artifacts are stored and served by HiAPI, ready for immediate use in your application. You can simply pass the URL to your frontend, share it with users, or process it further. This feature saves significant development and operational costs, allowing you to focus on your core product logic instead of infrastructure. The storage parameter set to persistent in your API request activates this feature, ensuring your outputs are always available.

AI Agent Friendly Integration

HiAPI is engineered for the future of software development: AI agents. The platform provides multiple integration paths specifically designed for agentic workflows. It supports the Model Context Protocol (MCP) for agent-accessible tools, Skills for reusable agent instructions, and an llms.txt file for agent discovery. This means you can paste a simple prompt into your agent (like Claude or Cursor), and it can instantly understand how to use HiAPI's models and APIs. This feature is essential for developers building autonomous systems, automated pipelines, or any application where an AI agent needs to generate, process, or manage media content without human intervention.

Production-Grade Reliability and Callbacks

HiAPI is built for real-world, high-load applications. It features availability-first routing, which means your requests are directed to the most reliable infrastructure. The callback system is a powerful feature for asynchronous workflows. Instead of polling the API to check if a task is complete, you can provide a callback URL. HiAPI will automatically notify your server when the generation is finished, passing along the task ID and results. This enables efficient, event-driven architectures and is critical for long-running tasks like video generation. Combined with 24/7 support, this feature ensures that HiAPI is a trustworthy backbone for your most demanding production applications.

Rapid Content Creation for Marketing Teams

Marketing teams need to produce high volumes of on-brand images and videos quickly. HiAPI enables this by providing a single API to access the best image generation models like GPT Image 2 and FLUX 1.1 Pro, as well as video models like Seedance 2.0. A developer can build a simple internal tool that takes a product description and generates multiple marketing assets in seconds. The persistent artifact links mean the generated images are immediately available for use in ads, social media posts, and website banners. This workflow drastically reduces the time from concept to published asset, making the marketing team more agile and responsive.

Dynamic Media Generation in User-Facing Apps

Imagine a social media platform that lets users generate custom profile banners or a design tool that offers AI-powered background replacement. HiAPI makes this possible with minimal backend complexity. By integrating the unified API, the application can offer features like text-to-image generation with Seedream 5.0 Pro or image editing with GPT Image 2. The callback feature is crucial here, allowing the app to notify the user when their custom image is ready without blocking the interface. The pay-as-you-go pricing model means you only pay for what your users generate, making it economically viable to offer these features from day one.

Automated Audio and Music Generation for Podcasts

Podcasters and content creators can use HiAPI to automate the creation of intro music, background scores, or sound effects. Using the MiniMax Music 2.6 model, a developer can build a tool that takes a podcast's theme or episode description and generates a unique, royalty-free music track. The unified API means this tool can be built once and then expanded to generate cover art using an image model from the same platform. The persistent storage feature ensures that the generated audio files are hosted and ready for immediate download or streaming, eliminating the need for separate audio hosting services.

Building AI Agents for Media Processing

For developers creating autonomous AI agents, HiAPI is an essential component. An agent tasked with creating a social media campaign can use HiAPI to generate images, edit them, create a short video, and even compose background music, all through a single API key and a consistent workflow. The MCP and Skills support allows the agent to discover and use these capabilities autonomously. For example, an agent could use the llms.txt prompt to understand the API, then use a Skill to "Generate a promotional video" which internally calls the video and audio models. This creates powerful, self-contained workflows that can operate with minimal human oversight.

How does the unified billing and pay-as-you-go pricing work?

HiAPI operates on a pay-as-you-go model, meaning you only pay for the API calls you make. There are no monthly subscription fees or minimum commitments. You simply purchase credits, and each API request deducts the cost for the specific model and task from your balance. Each model has a transparent price listed on its detail page, so you know the exact cost before you integrate. This model is ideal for projects of all sizes, from small experiments to large-scale production, because your costs scale linearly with your usage.

What does it mean that outputs come as persistent artifact links?

When you set the storage parameter to persistent in your API request, HiAPI stores the generated image, video, or audio file on its servers. The response will contain a durable URL pointing to that file. This URL can be used directly in your application, shared with users, or downloaded. You do not need to build or manage any storage infrastructure like Amazon S3 or Cloudinary. This feature saves significant development time and operational cost, and it ensures your generated media is always accessible.

How do I use HiAPI with an AI agent like Claude or Cursor?

HiAPI provides multiple integration paths for AI agents. The simplest way is to use the llms.txt file. You can paste a prompt into your agent's context that instructs it to read the documentation at https://www.hiapi.ai/llms.txt. This file provides a complete index of HiAPI's capabilities. Your agent can then decide to use the Remote MCP tools, Skills, or the direct API. This allows the agent to autonomously discover how to generate images, videos, or audio and integrate them into its workflow.

What is the task API and how does the callback system work?

The task API is the core workflow for all generation requests. You submit a job by sending a POST request to /v1/tasks with the model, input, and optional parameters like storage and callback. The API returns a task ID. If you provide a callback URL with a when parameter set to final, HiAPI will send an HTTP POST request to that URL with the task's results once the generation is complete. This eliminates the need for polling and is essential for building efficient, event-driven applications. The Idempotency-Key header ensures that retrying a request does not create duplicate tasks.