Andrew Adams · Co-Founder & Operations at Wireflow · AI Pipeline API
Build multi-model AI pipelines visually, then trigger them with a single REST API call
Free to build · no credit card
At Wireflow, Andrew and the team have built and iterated on 1000+ pipeline api workflows for creative teams and agencies. The approach below reflects what we've found delivers the most consistent, production-ready results.
Build AI Pipelines with API Access
An AI pipeline API lets you chain multiple AI models into one automated sequence triggered by a single POST request. On Wireflow, you design pipelines visually, then call POST /workflows/{id}/execute to start a run. The API returns an executionId you poll until the status reaches COMPLETED or FAILED, following an async pattern ideal for long-running [AI workflow builds](https://www.wireflow.ai/ai-workflow-builder).
For pipelines that need external triggers, Wireflow provides a dedicated webhook endpoint at POST /workflow/{webhookId}/trigger, which requires no API key. This makes it simple to connect CI systems, Zapier, or web forms to your pipeline. Each pipeline supports up to 100 nodes and 500 edges, covering complex chains across image generation, video synthesis, upscaling, and [pipeline automation](https://www.wireflow.ai/features/ai-pipeline-automation) steps.
Pipeline API Capabilities
Multi-Model Chaining
Connect up to 100 nodes across text, image, video, and audio models with automatic data passing between steps
REST API Triggers
POST to /workflows/{id}/execute with a Bearer sk- token to start any published pipeline and receive an executionId
Batch Pipeline Runs
Send iterator configs to process arrays of inputs through the same pipeline in a single execution call
Webhook Triggers
Trigger pipelines via POST /workflow/{webhookId}/trigger with no API key required, ideal for forms and CI systems
Visual Pipeline Builder
Design pipeline logic in a drag-and-drop canvas with React Flow nodes, then deploy as an API without writing code
Execution History
Query GET /workflows/{id}/executions for run history with timing, credit usage, and per-node output data
More Than Just AI Pipeline API
Chain Any AI Model
Connect image generators, video models, upscalers, and LLMs across 157 available node types. Wireflow handles AI model chaining with automatic format conversion between outputs and inputs.
Production-Ready Endpoints
Every pipeline becomes a callable REST endpoint with rate limits up to 200 req/min on Enterprise. Deploy pipelines to the AI asset pipeline for consistent, scalable throughput.
Process at Scale
Send iterator configs to run hundreds of inputs through one pipeline call. Pair API triggers with batch AI generation for high-volume production runs.
Monitor Every Run
Track executions via GET /workflows/executions/{id} for per-node timing, credit breakdown, and output data. Explore integration patterns in our AI API guide.
Access Hosted Models
Use models like Nano Banana 2 for fast image generation, Flux 2 Pro for high-fidelity output, and Kling for video synthesis, all available as pipeline nodes.
Build Any AI Workflow
AI Models Integrated
Full Commercial License
FAQs
An AI pipeline API is a REST endpoint that chains multiple AI models into one automated sequence. You POST input data to the endpoint, and it processes through each model step, returning the final output via polling.
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 AI Pipeline
Design multi-model AI pipelines in a visual canvas and deploy them as callable REST endpoints. Authenticate with a Bearer token, trigger executions, and poll for results.