HiAPI

HiAPI is a revolutionary developer-first AI API platform engineered for the next generation of multimodal content creation. It serves as a unified gateway to the most advanced frontier models for image, video, audio, and text generation, allowing developers to orchestrate complex generative workflows through a single, elegant interface. By abstracting away the fragmentation of multiple providers, HiAPI empowers developers and AI agents to call leading models from OpenAI, ByteDance, Black Forest Labs, Google, and MiniMax using just one API key, OpenAI-compatible requests, and unified billing. The platform is architected for production-grade reliability, featuring availability-first routing, asynchronous task management, callbacks, and persistent artifact storage that eliminates the need for developers to build and maintain their own storage infrastructure. HiAPI is not just an API gateway; it is a mission control for generative AI, designed for developers building scalable applications, AI agents seeking tool integration, and enterprises requiring predictable costs and transparent pricing. With support for models like Seedream 5.0 Pro, GPT Image 2, FLUX 1.1 Pro, Seedance 2.0, and MiniMax Music 2.6, HiAPI unlocks the full spectrum of generative capabilities from text-to-image and image-to-image editing to cinematic video with native audio and music composition. The platform is AI agent friendly out of the box, supporting MCP, Skills, and llms.txt protocols, making it instantly compatible with autonomous agents like Claude, Cursor, and Codex. Whether you are shipping a consumer app, automating creative workflows, or building the next generation of AI-native tools, HiAPI provides the foundational infrastructure to generate, store, and serve AI artifacts at scale.

Unified Task API for Every Generation Workflow

HiAPI revolutionizes generative AI integration with a single, asynchronous task API that standardizes the lifecycle for every image, video, and audio model. Developers submit a job by passing the model name, input parameters, optional route, storage preference, and callback URL through one consistent endpoint. The platform returns a task ID immediately, supports idempotency keys to prevent duplicate submissions, and provides status polling or callback notifications upon completion. This unified abstraction eliminates the complexity of managing disparate APIs, authentication schemes, and response formats across multiple providers, allowing developers to focus on building features rather than wrestling with integration headaches.

Persistent Artifact Storage Without Extra Infrastructure

HiAPI delivers a revolutionary approach to managing generated outputs by providing persistent, durable artifact links for every completed task. When developers set the storage parameter to persistent, the platform automatically stores generated images, videos, and audio files and returns stable URLs that can be served directly to end users. This eliminates the need for developers to build, maintain, and scale their own storage infrastructure, saving countless engineering hours and reducing operational costs. The persistent storage system is designed for production workloads, ensuring that artifacts remain accessible for as long as needed without additional configuration or management overhead.

AI Agent Native Integration with MCP, Skills, and llms.txt

HiAPI is purpose-built for the autonomous agent era, offering native support for Model Context Protocol, reusable agent Skills, and llms.txt documentation. This trifecta of integration methods allows AI agents like Claude, Cursor, and Codex to discover, understand, and call HiAPI models without manual configuration. Developers can paste the llms.txt prompt into their agent to instantly equip it with full knowledge of HiAPI models and APIs. The platform then intelligently selects between Skills, Remote MCP tools, or direct API calls as the optimal setup path, making HiAPI the most agent-friendly generative AI platform available today.

Production-Grade Reliability with Availability-First Routing

HiAPI is engineered for mission-critical applications with an availability-first architecture that routes requests intelligently across model providers. The platform features built-in support for callbacks, allowing developers to receive notifications when tasks complete instead of polling endpoints. Combined with 24/7 support for real production loads, idempotency keys for safe retries, and transparent pricing per model, HiAPI provides the reliability and predictability that enterprise applications demand. Developers can ship with confidence knowing that their generative AI pipeline is backed by infrastructure designed for scale.

Dynamic Content Generation for Social Media and Marketing

Marketing teams and content creators can leverage HiAPI to generate on-brand images, videos, and audio at scale. By integrating the unified API into their content management systems, they can produce thousands of unique visual assets for social media campaigns, product launches, and advertising creatives. The persistent storage feature ensures that all generated artifacts are immediately available with durable links, ready for distribution across platforms. With support for models like GPT Image 2 and Seedream 5.0 Pro, teams can maintain consistent brand aesthetics while rapidly iterating on creative concepts without manual design work.

AI-Powered Creative Tools and Applications

Developers building the next generation of creative applications can use HiAPI as their generative AI backend to power features like text-to-image generation, image editing, video creation, and music composition. The unified task API allows these applications to offer users a seamless experience where they can generate, edit, and iterate on content without ever leaving the app. The callback mechanism enables real-time updates on generation progress, while persistent artifact links allow for instant sharing and embedding. This makes HiAPI the ideal foundation for AI art platforms, design tools, video editors, and music production suites that require reliable, scalable generative capabilities.

Autonomous Agent Workflows and Automation Pipelines

AI agents and automation systems can harness HiAPI to autonomously generate visual and audio content as part of complex workflows. For example, an agent managing a content calendar could automatically generate accompanying images for blog posts, create promotional videos for product launches, or compose background music for multimedia projects. The MCP and Skills integration means agents can discover and call HiAPI models without manual programming, while the llms.txt prompt provides complete documentation in an agent-readable format. This enables fully autonomous content factories that operate 24/7 with minimal human supervision.

Enterprise Brand Asset Management and Production

Large organizations can standardize their generative AI infrastructure around HiAPI to ensure consistent brand asset production across departments. By using the unified API, enterprises can implement governance controls, track usage, and manage costs through a single platform. The transparent pricing model allows finance teams to predict and budget for generative AI expenses accurately, while developers can integrate HiAPI into existing workflows without learning multiple provider APIs. The production-grade reliability ensures that critical brand assets are generated reliably, with persistent storage providing a centralized repository for all AI-generated content.

What models does HiAPI support and how do I access them?

HiAPI supports a curated selection of leading generative AI models for image, video, and audio generation. Current image models include GPT Image 2, Seedream 5.0 Pro, FLUX 1.1 Pro, and Nano Banana 2. For video, the platform offers Seedance 2.0 with cinematic quality and native audio. Audio generation is powered by MiniMax Music 2.6 for music and song creation. Developers access these models by passing the model name as a parameter in the unified task API endpoint. HiAPI continuously expands its model catalog, and users can explore all available models on the platform website.

How does the persistent storage feature work and what are the costs?

When developers set the storage parameter to persistent in their API request, HiAPI automatically stores the generated output and returns a durable artifact link. This link remains accessible for the duration specified by the storage configuration, eliminating the need for developers to build their own storage infrastructure. The cost for persistent storage is included in the transparent pricing for each model, meaning there are no hidden storage fees. Developers can serve these links directly to end users without additional processing or hosting costs.

How do I integrate HiAPI with AI agents like Claude or Cursor?

HiAPI provides three integration methods for AI agents: MCP, Skills, and llms.txt. The simplest approach is to paste the llms.txt prompt into your agent, which gives it complete documentation about HiAPI models and APIs. The agent can then select the optimal integration path, whether that is using pre-built Skills for common workflows, connecting via Remote MCP tools, or making direct API calls. This flexibility makes HiAPI compatible with any agent that supports these protocols, including Claude, Cursor, Codex, and custom-built autonomous systems.

What is the pricing structure and how do I estimate costs?

HiAPI operates on a transparent, pay-as-you-go pricing model where every model lists its price upfront. Developers can review each model's cost before integration and estimate expenses clearly before launching into production. The platform also offers up to 1 USD in free credits upon signup, allowing developers to test the API and evaluate models without initial investment. Unified billing consolidates all model usage into a single invoice, simplifying cost management for teams and enterprises. There are no hidden fees for the unified API, persistent storage, or callback functionality beyond the per-model usage costs.