Andrew Adams
Andrew Adams·Co-Founder & Operations at Wireflow

AI Canvas With REST API

Design multi-step AI workflows on a visual canvas, then call them programmatically through a single REST API endpoint.

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AI Canvas With REST API
AI Canvas REST API DemoOpen workflow

At Wireflow, Andrew and the team have built and iterated on 500+ canvas with rest api workflows for creative teams and agencies. The approach below reflects what we've found delivers the most consistent, production-ready results.

Built on 500+ internal test generations during development
8+ AI models benchmarked for optimal output quality
20+ configurations tested to find the best defaults

Visual Workflow Design Meets Programmatic Control

Most AI platforms force a choice: either a visual canvas with no API access, or a raw API with no visual design tools. Wireflow eliminates that tradeoff. Build multi-node pipelines on an infinite canvas by connecting image generators, video models, upscalers, and background removers. Once your workflow is ready, call it through a single REST API endpoint with standard HTTP requests. Every published workflow becomes a callable endpoint that accepts inputs and returns outputs, so you can prototype visually and deploy programmatically without rebuilding anything.

What You Can Do

🎨

Drag-and-Drop Node Canvas

Connect AI model nodes on an infinite zoomable canvas. Wire text inputs to image generators, chain outputs to video models or post-processors.

🔗

One-Call API Execution

Every saved workflow gets a unique API endpoint. Send a POST request with your inputs and receive generated outputs without touching the UI.

🔄

Webhook Triggers

Attach webhooks to any workflow for event-driven execution. Trigger pipelines from Zapier, CI/CD systems, or custom backends without API keys.

⚡

Multi-Model Pipelines

Chain Flux 2 Pro, Nano Banana, Recraft V4, Kling video, and 150+ other models in a single workflow. Each node passes outputs to the next automatically.

📊

Execution Polling and Logs

Track every run with async polling. GET the execution status, inspect per-node results, and monitor credit usage through the API.

🔒

Scoped API Keys

Generate keys with granular scopes like workflows:read, workflows:execute, or usage:read. Rotate keys from the dashboard without downtime.

More Than Just AI Canvas With REST API

Canvas-First API Architecture

Design workflows visually, then deploy them as REST endpoints. Every canvas creation becomes a callable API workflow with zero extra configuration.

Canvas-First API Architecture

Node-Based Pipeline Builder

Connect 150+ AI model nodes in sequences or parallel branches. Build complex node-based generation pipelines without writing orchestration code.

Node-Based Pipeline Builder

Production-Ready REST Interface

Standard HTTP methods, Bearer token auth, and JSON payloads. Learn how to build AI pipelines with REST APIs using curl or any HTTP client.

Production-Ready REST Interface

Async Execution with Polling

Long-running pipelines return an execution ID immediately. Poll for completion and inspect per-node results, similar to how content generation APIs handle async tasks.

Async Execution with Polling

Integrated Canvas API Surface

Manage workflows, trigger executions, and read results from one unified canvas API. No separate tools for visual design and programmatic access.

Integrated Canvas API Surface
Open Platform

Build Any AI Workflow

15+

AI Models Integrated

No Watermarks

Full Commercial License

FAQs

What is an AI canvas with REST API?
It is a visual workflow editor where you connect AI model nodes on an infinite canvas, and every workflow you build can be triggered programmatically through standard REST API endpoints using HTTP requests.
How do I execute a canvas workflow via API?
Send a POST request to /api/v1/workflows/{id}/execute with your input parameters as JSON. The API returns an execution ID you can poll for results when the workflow completes.
Do I need to learn a programming language to use it?
No. You can build and run workflows entirely on the visual canvas. The REST API is optional for developers who want to integrate workflows into their own applications or automate execution.
Which AI models are available on the canvas?
Over 150 models including Flux 2 Pro, Nano Banana 2, Recraft V4 for images, Kling and Veo for video, plus upscalers, background removers, and LLM text generators.
Can I trigger workflows without an API key?
Yes. Wireflow supports webhook triggers that accept HTTP POST requests without authentication. This is useful for connecting to Zapier, CI/CD pipelines, or public forms.
What authentication does the REST API use?
Bearer token authentication with API keys generated from your dashboard. Keys start with sk- and support granular scopes like workflows:read, workflows:execute, and usage:read.
How does async execution work for long workflows?
The execute endpoint returns immediately with an execution ID. Poll the status endpoint with exponential backoff. States progress from RUNNING to COMPLETED or FAILED with per-node output details.
Are there rate limits on the API?
Yes. Free plans allow 10 requests per minute and 50 daily executions. Pro plans support 60 requests per minute and 1,000 daily executions. All plans share a 10 executions-per-minute cap.

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Andrew Adams

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

Start Building AI Workflows You Can Call From Code

Design image and video pipelines on a visual canvas, then trigger them with a single API call. No SDK required. Standard REST with Bearer auth and JSON payloads.

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