Andrew Adams · Co-Founder & Operations at Wireflow · Headless AI Workflow Platform
Design AI workflows in a visual canvas and deploy them as REST API endpoints with bearer-token auth and async polling
Free to build · no credit card
At Wireflow, Andrew and the team have built and iterated on 750+ headless workflow platform workflows for creative teams and agencies. The approach below reflects what we've found delivers the most consistent, production-ready results.
Build Visually, Deploy as a Headless API
A headless AI workflow platform separates the visual editor from the execution layer. You design multi-model pipelines by connecting nodes on a drag-and-drop canvas, then deploy each workflow as a callable REST endpoint at /api/v1/workflows/{id}/execute. Wireflow supports 157+ node types across image, video, audio, and LLM categories, all configurable through the visual node editor.
Authentication uses bearer tokens with sk- prefixed API keys generated from your dashboard. Every response includes X-RateLimit-Remaining and X-Request-Id headers for production monitoring. This fits teams that need AI generation inside existing products without building a separate frontend or managing model infrastructure through the AI orchestration API.
Headless Platform Capabilities
REST API for Every Workflow
POST to /api/v1/workflows/{id}/execute with your node graph and receive a 201 response with an executionId for tracking
157+ AI Model Nodes
Chain Flux 2 Pro, Kling Video 2.5, Recraft V4, and other models across image generation, video synthesis, and LLM processing categories
Async Execution with Polling
Submit long-running jobs and poll GET /workflows/executions/{id}/poll with exponential backoff until status returns COMPLETED or FAILED
Webhook Triggers Without Auth
Trigger workflows via POST /workflow/{webhookId}/trigger with no API key required, ideal for Zapier, CI pipelines, and form submissions
Execution History and Debugging
GET /workflows/executions/{id} returns full timing data, credit usage, and per-node results for every workflow run
Bearer Token Authentication
Secure endpoints with sk- prefixed API keys and plan-based rate limits from 10 to 200 requests per minute
More Than Just Headless AI Workflow Platform
Decouple AI from Your UI
Run AI pipelines without building a frontend. The headless architecture lets your team iterate on workflow logic independently while developers consume stable REST endpoints through the AI workflow builder.
Ship Faster with Visual Design
Non-technical team members design workflows visually while engineers handle API integration. Teams build AI workflows with an API in days instead of weeks.
Multi-Modal Pipeline Support
Handle image generation, video synthesis, audio processing, and LLM chaining across 157+ node types natively. Compare headless options against ComfyUI alternatives for production media workflows.
Production-Grade Rate Limits
Every endpoint enforces plan-based rate limits (10 to 200 req/min) with X-RateLimit headers on every response. Review the best AI orchestration APIs for production apps for patterns.
Scale Without Rewriting
Modify workflow logic in the canvas without touching application code. The API contract stays stable while you swap models, add steps, or optimize pipelines on the AI workflow API layer.
Build Any AI Workflow
AI Models Integrated
Full Commercial License
FAQs
A platform where you design AI pipelines visually and deploy them as REST API endpoints. Your application sends HTTP requests to execute workflows and receives processed results without any built-in frontend.
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 Headless Workflow API
Design multi-model AI pipelines visually and deploy them as production REST endpoints. Bearer-token auth, async polling, and 157+ model nodes ready to integrate.