Andrew Adams · Co-Founder & Operations at Wireflow · AI Node Editor With API
Design AI pipelines visually in a node editor and deploy them as REST API endpoints for any application.
Free to build · no credit card
We've run 300+ node editor with api generations internally while building Wireflow and identified the three factors that separate high-quality AI outputs from generic ones — and built them directly into this workflow.
Build AI Pipelines Visually and Deploy via API
Traditional AI integrations require writing boilerplate code for every model connection, managing async execution chains, and handling error propagation manually. An AI node editor with API access eliminates this overhead. You design pipelines by dragging model nodes onto a canvas and connecting their inputs and outputs visually. Once your graph looks correct, the platform exposes it as a REST endpoint that any backend system can call.
This approach separates workflow design from implementation. Product teams prototype and iterate on the canvas while engineers consume the same workflow via API. The visual graph stays synchronized with the API contract, so changes propagate instantly without redeployment.
Node Editor API Capabilities
Drag-and-Drop Node Graph
Place image generation, video, upscaling, background removal, and LLM nodes on a canvas with type-safe connections between outputs and inputs.
REST API for Every Workflow
Each saved node graph exposes a unique endpoint. POST your inputs and receive structured JSON outputs with per-node timing and credit data.
Scoped API Key Authentication
Generate API keys with granular permissions including workflows:read, workflows:execute, and executions:read for least-privilege access patterns.
Webhook Trigger Endpoints
Every workflow gets a webhook URL that accepts unauthenticated POST requests for event-driven triggers from CI systems, forms, or Zapier.
Async Execution and Polling
Start workflow runs asynchronously and poll for completion. Exponential backoff recommended starting at 1 second, capping at 10 seconds between requests.
Idempotency and Rate Limiting
Pass an Idempotency-Key header to prevent duplicate executions. X-RateLimit headers on every response keep integrations within plan limits.
More Than Just AI Node Editor With API
Visual Graph Meets Production Code
Design workflows on a node-based AI platform and call them from production applications without rewriting the pipeline logic in code.
API-First Workflow Deployment
Learn the full integration pattern in our guide on building AI workflows with an API covering authentication, polling, and error handling.
Multi-Model Pipeline Orchestration
Chain image, video, and LLM nodes into a single execution with the AI orchestration API that handles model routing and credit tracking automatically.
No Infrastructure Management
Skip GPU provisioning entirely. Compare how Wireflow handles hosted execution versus alternatives in our ComfyUI cloud API comparison.
Transparent Execution Monitoring
Inspect per-node timing, credit costs, and error states through the executions API. See how teams use this for programmatic image generation at scale.
AI Models Available
Automate Any Workflow
Included in Every Plan
FAQs
The node editor supports over 150 model nodes including image generation (Flux 2 Pro, Nano Banana 2, Recraft V4), video generation (Kling, Veo 3.1), upscaling, background removal, and LLM text generation.
More From Wireflow
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.
Explore the Node Editor API
Connect AI models visually in the node editor, then call your workflows programmatically via REST endpoints. Full documentation for authentication, execution, and polling.