How does an agent call the workflow?

A published Wireflow workflow is available through both MCP and REST. Claude can discover and run it as an MCP tool, while a backend can invoke the same workflow ID through the REST API with typed inputs.

Can I change video models without rewriting code?

Yes. Replace the video node on the canvas and publish the updated workflow. The agent keeps calling the same named tool or endpoint, while the server-side graph controls which model receives the prompt and seed frame.

Which models are used in this example?

The public flow creates a seed frame, animates it with a hosted video model, and passes the clip into Remotion. You can replace the video node with another supported model while keeping the published tool unchanged.

How do per-agent spend caps work?

Assign a hard spend limit to the agent before autonomous runs begin. Paid generations are tracked against that allowance, and new runs stop when the cap is reached, preventing an unattended loop from exceeding its assigned budget.

Do I need a GPU or local installation?

No. The workflow runs on hosted compute, so there is no GPU, CUDA setup, model download, or render server to manage. You build on the browser canvas and pay credits when generation nodes execute.

Can one call chain image and video models?

Yes. One workflow can generate a seed image, pass it into a video model, and route the clip into a finishing node. The agent makes one call and receives the final asset from the connected chain.

When is this API the wrong fit?

It is not a reasoning agent, offline runtime, or frame-accurate timeline editor. Bring the agent that decides what to make, and use a dedicated editor when you need detailed manual cuts, keyframes, or local model execution.

Andrew Adams · Co-Founder & Operations at Wireflow · Updated July 11, 2026

hosted video api for agents

Name: hosted video api for agents
Author: Andrew Adams

Build a visual video pipeline once, then let agents run it as one hosted API call or MCP tool with swappable models and enforced spend caps.

Build Your Agent Flow Read the Agent Docs

Free to build · no credit card · See how it works ↓

Hosted Video API for Agentsconnecting to live embed…Open workflow →

Loading interactive canvas…

750+Built on 750+ internal test generations during development

10+10+ AI models benchmarked for optimal output quality

30+30+ configurations tested to find the best defaults

Our internal testing of 750+ hosted video api for agents outputs across 25+ model variants revealed clear best practices for prompt structure, model selection, and output settings — all reflected in the workflow below.

01How it works

How to Use hosted video api for agents

Steps to get you started in Wireflow.

Step 1

Wire the video pipeline

Connect the prompt to a seed-frame model, send its image into the video node, and route the generated clip into Remotion for the final output.

Step 2

Run and inspect it

Execute the graph once on hosted compute, inspect each node output, and confirm that the finished asset follows the route your agent will call.

Step 3

Publish the agent tool

Publish the workflow, set the agent's spend cap, then call the same typed pipeline through Claude over MCP or from a backend over REST.

Build Your Agent Flow →

Your agent gets one stable video tool

A raw model endpoint leaves your agent responsible for every handoff. It must call an image model, reshape the response, call a video model, track the job, and pass the result into finishing code. A visual workflow moves that brittle orchestration into one named graph.

The flow on this page takes a prompt, creates a seed frame, animates it with a video node, and passes the clip to Remotion. Publish the graph and the whole route becomes one typed MCP tool and one REST endpoint.

What the hosted agent pipeline controls

Visible pipeline

Inspect every node and handoff before an agent runs the workflow.

Video model swaps

Replace the video node while the agent keeps calling the same tool.

Spend enforcement

A hard per-agent cap stops new paid generations at the assigned limit.

MCP and REST

Use one published workflow from Claude or a conventional backend.

Multi-model chain

Route image, video, and finishing nodes behind one workflow call.

Hosted execution

Run generation without local GPUs, CUDA, installs, or render servers.

What the API does not decide

Wireflow is the hosted generation and orchestration layer, not the reasoning brain. Your agent still chooses the brief, decides which model suits the job, and judges whether the result is useful. The workflow makes that decision executable and repeatable.

Runs also consume credits. A spend cap protects the assigned budget, but it does not make generation free. There are no offline runs, local checkpoints, custom Python nodes, or real-time multiplayer editing. If you need frame-accurate manual cutting, finish the generated clips in a dedicated editor.

FAQs

It is a cloud-run video pipeline exposed as a callable tool. The agent sends typed inputs, the hosted workflow runs its connected image, video, and finishing nodes, and the agent receives asset URLs without managing model infrastructure.

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Written by

Andrew Adams · Co-Founder & Operations at Wireflow

Runs client operations and content strategy at Wireflow. Works directly with creative teams and agencies to build production AI workflows.

Content StrategyClient Operations

Give your agent a hosted video pipeline

Open the working graph, inspect the image-to-video route, and run it before connecting an agent. The same published workflow is available through MCP and REST, with hosted compute and a hard spend cap for autonomous calls.