Wiro AI: A multimodel API for media

Wiro AI provides a single API for running media models from different providers. It is for developers who want to compare models and track jobs without building a separate integration for every supported output type.

How does a developer start a Wiro job?

Wiro's documentation starts with creating an account and a project, then retrieving the project's credentials. The model catalog is where a developer can see the supported models and their parameters. The same run pattern submits a job for the selected model, but the request still has to match that model's input requirements. A developer switching models should check the new model's schema rather than assume all requests are interchangeable.

How does Wiro report progress and pricing?

A client can poll for task status or listen to WebSocket events. Wiro describes queued, processing and completed states. Completed task details include the output file URLs, the list cost and the charged cost after any discount. Those last two fields let a developer compare the estimate with the actual billed run.

Usage pricing is based on the model and work submitted. Wiro's pricing page draws from its live catalog. A model without a published list price is billed per completed task, so a displayed estimate for one model is not a universal price for the same type of media.

What should developers check before storing the results?

The vendor says output links are public to anyone who has the URL and available only for a limited time. An application that needs durable or private storage should transfer files to its own storage instead of treating the returned URLs as permanent. Wiro also says concurrent tasks are limited by the account balance. Check that limit before planning a large batch.