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

AI Canvas API

Build AI workflows on a visual canvas and deploy them as REST API endpoints

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AI Canvas API
AI Canvas API DemoOpen workflow

This workflow is based on 500+ canvas api generations we ran during Wireflow's development. We catalogued the results, identified the patterns that consistently produced the highest-quality outputs, and built them in.

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

Visual Workflow Design Meets REST API Access

Most AI platforms force a choice: use a visual builder with no programmatic access, or write raw API calls with no visual feedback. Wireflow combines both. Design multi-step AI workflows on a node-based canvas, then trigger them from any application through standard REST endpoints. Every workflow you build becomes an API-callable pipeline that accepts inputs, processes them through chained AI models, and returns structured outputs.

Canvas API Capabilities

🔗

REST API Execution

Trigger any canvas workflow via POST request with JSON inputs and receive structured outputs.

🔔

Webhook Callbacks

Register webhook URLs to receive execution results automatically when workflows complete.

⚡

Async Polling

Start executions asynchronously and poll for status with exponential backoff support.

🔑

Bearer Token Auth

Secure API access with scoped API keys generated from your dashboard settings.

📊

Rate Limit Headers

Every response includes X-RateLimit headers so your integration stays within plan limits.

🎯

Idempotent Requests

Send an Idempotency-Key header to prevent duplicate executions within a 24-hour window.

More Than Just AI Canvas API

Canvas-First Workflow Design

Drag and drop AI models onto a no-code visual canvas to build pipelines without writing configuration files or deployment scripts.

Canvas-First Workflow Design

API-Driven Content Generation

Every canvas workflow doubles as a content generation API that accepts structured inputs and returns processed outputs over HTTP.

API-Driven Content Generation

Production-Ready Endpoints

Deploy workflows to production with confidence using the patterns covered in building AI workflows with an API, including error handling and retries.

Production-Ready Endpoints

Multi-Model Pipeline Chaining

Connect image generation, upscaling, and video nodes into sequential REST API pipelines that process media through multiple AI models in one call.

Multi-Model Pipeline Chaining

Transparent API Pricing

Each node execution has a fixed credit cost. Review API pricing and code examples to estimate costs before deploying any workflow to production.

Transparent API Pricing
15+

AI Models Available

API Access

Automate Any Workflow

Free Tier

Credits to Start

FAQs

What is an AI canvas API?
An AI canvas API combines a visual drag-and-drop workflow builder with REST API endpoints. You design AI pipelines on a canvas and trigger them programmatically from any application using standard HTTP requests.
How do I authenticate API requests?
Generate an API key from your dashboard under Settings. Include it as a Bearer token in the Authorization header of every request. Keys are scoped with permissions like workflows:execute and executions:read.
Can I trigger workflows without an API key?
Yes. Enable a webhook on any workflow to get a public trigger URL. POST to that URL without authentication to start an execution. Use your API key separately to poll for results.
What execution model does the API use?
The API uses asynchronous execution. POST to the execute endpoint to receive an executionId, then poll the status endpoint. States progress from RUNNING to COMPLETED or FAILED with full node outputs.
What are the API rate limits?
Rate limits scale by plan: Free allows 10 requests per minute, Starter 20, Pro 60, and Enterprise 200. Execution concurrency is capped at 10 per minute on all plans. Response headers show remaining quota.
How many nodes can a workflow have?
Each workflow supports up to 100 nodes and 500 edges. Node data nesting is limited to 10 levels. For most production use cases, workflows with 3 to 10 nodes handle image generation, processing, and video output.
Does Wireflow provide an SDK?
Wireflow uses plain REST with JSON payloads, so no SDK is required. Any HTTP client works, including curl, fetch, axios, and Python requests. This keeps integrations dependency-free and language-agnostic.
Can I prevent duplicate API executions?
Yes. Include an Idempotency-Key header with your POST request. Identical keys within 24 hours replay the original response without running the workflow again. This protects against network retries and duplicate triggers.

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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 with the Canvas API

Design AI workflows visually on the canvas, then deploy them as production-ready REST endpoints. Authenticate with API keys, trigger executions, and receive results through polling or webhooks.

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