Andrew Adams
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

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Headless AI Workflow Platform
Headless AI Workflow PlatformOpen workflow

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.

Built on 750+ internal test generations during development
8+ AI models benchmarked for optimal output quality
20+ configurations tested to find the best defaults

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.

Decouple AI from Your UI

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.

Ship Faster with Visual Design

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.

Multi-Modal Pipeline Support

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.

Production-Grade Rate Limits

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.

Scale Without Rewriting
Open Platform

Build Any AI Workflow

15+

AI Models Integrated

No Watermarks

Full Commercial License

FAQs

What is a headless AI workflow platform?
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.
How does headless deployment differ from embedded AI tools?
Embedded tools require UI components in your app. Headless deployment exposes workflows as pure API endpoints at /api/v1/workflows/{id}/execute, so your existing frontend handles the user experience entirely.
Can I chain multiple AI models in a headless workflow?
Yes. Connect image generation, video synthesis, LLM processing, and utility nodes in sequence. The platform orchestrates execution order and passes data between nodes automatically across up to 100 nodes per workflow.
What AI models are available on the platform?
Wireflow offers 157+ node types including Flux 2 Pro and Recraft V4 for images, Kling Video 2.5 for video, audio models, and utility nodes for prompt concatenation, logic branching, and data transformation.
What are the API rate limits?
Rate limits scale by plan: Free gets 10 requests per minute with 50 daily executions, Pro gets 60 requests per minute with 1,000 daily executions, and Enterprise gets 200 requests per minute with unlimited executions.
Can I update workflows without breaking API integrations?
Yes. The visual editor lets you modify internal pipeline logic while the API endpoint URL and input/output schema remain unchanged. Your application code does not need updates when you swap models or add steps.
How do I authenticate API calls to my workflows?
Generate an sk- prefixed API key from Settings in your dashboard. Include it as a Bearer token in the Authorization header. Keys are shown once at creation and can be rotated from the same settings page.
Does the platform support long-running tasks like video generation?
Yes. POST to the execute endpoint to receive an executionId, then poll GET /workflows/executions/{id}/poll. Use exponential backoff starting at one second, or configure a webhook callback for completion notifications.

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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

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.

View API Docs