Andrew Adams · Co-Founder & Operations at Wireflow · AI Content Generation API
Execute multi-model content pipelines through a single REST API with visual workflow design and async polling
Free to build · no credit card
While developing Wireflow's content generation api pipeline, we processed 200+ test generations across multiple AI models to find the configurations that produce the most reliable results. This workflow packages those findings.
One API Call, Multiple AI Models
Every published workflow becomes a callable REST endpoint at /api/v1/workflows/{id}/execute. Send a POST request with your Bearer sk- token, and Wireflow orchestrates text, image, and video models in sequence, returning an executionId you poll until the run completes. No separate integrations for each provider; one [model chaining](https://www.wireflow.ai/features/ai-model-chaining) pipeline handles everything.
For external triggers like forms, CI pipelines, or Zapier, use the webhook endpoint at /workflow/{webhookId}/trigger, which requires no API key and returns a 202 with the execution ID. Poll with your key to retrieve outputs from each node. This pattern makes [batch AI generation](https://www.wireflow.ai/features/batch-ai-generation) straightforward for teams producing content at scale.
What You Can Build
LLM Text Generation
Use input:text nodes to feed prompts into your pipeline. Connect outputs to image or video nodes downstream for full content flows.
Image Generation
Generate visuals with nodes like generate:flux_2_pro, generate:nano_banana_pro, or generate:imagen4 directly inside your workflow.
Video from Content
Route generated images into video:kling_video_2_5_i2v to create short-form clips as part of your content pipeline.
Multi-Model Chaining
Connect up to 100 nodes and 500 edges per workflow. Each node output feeds into the next via the React Flow graph structure.
Batch Processing
Pass iteratorConfigs in your execute request to run the same pipeline across multiple inputs in a single API call.
Webhook Triggers
Each workflow can expose a no-auth webhook at /workflow/{webhookId}/trigger. External tools fire it without API keys; CORS is fully open.
More Than Just AI Content Generation API
Chain Models Visually
Connect text, image, and video models on a single canvas. Wireflow's visual workflow builder turns multi-step pipelines into drag-and-drop graphs you execute with one API call.
Swap Models Instantly
Replace any node without rewiring the flow. Switch between Recraft V4 and Flux for images, or swap video models, while keeping the same API endpoint and execution pattern.
Per-Node Cost Visibility
The API returns a credit breakdown per node on 402 responses, showing exactly which step costs what. Plan your AI image generation spend before committing to a full pipeline run.
Text to Video in One Run
Generate a script, create visuals, and animate them into clips. Teams converting text to video with AI use this pattern to produce content from a single execute call.
Inspect Every Step
The execution response includes outputs for each node, so you can review results at every stage. Pair with the AI image upscaler node to ensure quality before downstream processing.
Content generation api Workflows
No Code Required
API & Batch Processing
FAQs
It is a REST interface that accepts prompts and returns generated text, images, or video. Wireflow lets you chain multiple AI models into a single workflow and execute the entire pipeline through one API call.
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.
Build Your Content Generation Pipeline
Design multi-model workflows visually, then execute them through a single REST endpoint. Authenticate with a Bearer token, trigger via API or webhook, and poll for results.