Unified model API
Run models from multiple providers through the Wiro API, using one API key and a common request and response approach.
Wiro AI is a unified API and model marketplace for running image, video, audio, language, and other AI models. Developers can use one API key to test models, execute tasks, and build workflows and agents.
Wiro AI is an AI model marketplace and unified API platform. It lets developers run image, video, audio, language, 3D, workflow, and agent capabilities through a common interface instead of integrating each model provider separately. Users can browse models, test them, and execute tasks with one project API key.
The documented workflow is to create an account, create a project in the dashboard, select a model, and make an API request to https://api.wiro.ai/v1. Wiro returns JSON responses with a consistent structure and offers WebSocket connections at wss://socket.wiro.ai/v1 for live task progress and outputs. Pricing is pay-per-use, with costs varying by model and billing unit.
Run models from multiple providers through the Wiro API, using one API key and a common request and response approach.
Browse and test models across image generation and editing, video, audio and speech, language, 3D, and workflow categories. The home page states that more than 1,000 models are available.
Use Wiro's WebSocket endpoint to stream task progress and outputs as work completes, rather than relying only on a final response.
Build visual workflows and create agents with skills, knowledge, guardrails, and monitoring through the platform's workflow and agent products.
The documentation provides a REST-style API base URL, code examples, and SDK support for curl, Python, Node.js, PHP, C#, Swift, Dart, Kotlin, and Go.
The platform uses pay-per-use pricing. Current catalog entries show model-specific units such as per request, per output, or other published options, so the selected model determines the applicable cost.
A developer can browse the marketplace, compare models by category, and run samples before committing an application to a particular image, video, audio, or language model.
A product team can call image, video, speech, or language models from its own application through the Wiro endpoint, avoiding separate provider-specific connections for each capability.
An application that submits longer-running generation jobs can use task responses and WebSocket updates to track progress and collect outputs as jobs finish.
Teams can assemble visual workflows when a task requires multiple model steps or a repeatable process rather than a single model call.
Teams can use the agent platform to configure skills, knowledge, guardrails, and monitoring for agents intended to handle more complex workflows.
Create an account, create a project in the dashboard to obtain an API key, choose a model from the marketplace, and follow the API code examples. Requests use the base URL `https://api.wiro.ai/v1`.
The documented categories include image generation, video, audio, language models, and 3D. The site also presents workflows and agents, and the catalog includes models from providers such as OpenAI, Anthropic, Google, Meta, ElevenLabs, and others.
Yes. Wiro documents WebSocket connections at `wss://socket.wiro.ai/v1` for real-time task progress and outputs.
Wiro documents pay-per-use pricing rather than a subscription requirement. The current pricing page shows that billing units differ by model, including per request and per output, and completed task details can include list-price and charged-cost values.
Responses use a consistent JSON structure with `result`, `errors`, and `data` fields. A false result includes human-readable errors. The API documents status codes including 400, 401, 403, 429, and 500; clients exceeding a project rate limit should use exponential backoff.
トラフィックデータは参考情報としてご利用ください。
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