Andrew Adams
Andrew AdamsยทCo-Founder & Operations at Wireflow

AI Pipeline API

Build multi-model AI pipelines visually, then trigger them with a single REST API call

Explore the API
AI Pipeline API
AI Pipeline API DemoOpen workflow

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.

Built on 1000+ internal test generations during development
8+ AI models benchmarked for optimal output quality
20+ configurations tested to find the best defaults

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

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Multi-Model Chaining

Connect up to 100 nodes across text, image, video, and audio models with automatic data passing between steps

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REST API Triggers

POST to /workflows/{id}/execute with a Bearer sk- token to start any published pipeline and receive an executionId

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Batch Pipeline Runs

Send iterator configs to process arrays of inputs through the same pipeline in a single execution call

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Webhook Triggers

Trigger pipelines via POST /workflow/{webhookId}/trigger with no API key required, ideal for forms and CI systems

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Visual Pipeline Builder

Design pipeline logic in a drag-and-drop canvas with React Flow nodes, then deploy as an API without writing code

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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.

Chain Any AI Model

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.

Production-Ready Endpoints

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.

Process at Scale

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.

Monitor Every Run

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.

Access Hosted Models
Open Platform

Build Any AI Workflow

15+

AI Models Integrated

No Watermarks

Full Commercial License

FAQs

What is an AI pipeline API?
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.
How many models can I chain in one pipeline?
Wireflow supports up to 100 nodes and 500 edges per workflow. Most production pipelines use 3 to 8 nodes covering generation, transformation, and enhancement steps chained in sequence.
Can I trigger pipelines programmatically?
Yes. Call POST /workflows/{id}/execute with a Bearer sk- API key. The response returns an executionId you poll at /workflows/executions/{id}/poll until the status reaches COMPLETED or FAILED.
What AI models are available as pipeline nodes?
Wireflow offers 157 node types across image generation (Flux 2, Nano Banana, Imagen 4), video (Kling 2.5), editing, upscaling, audio, 3D, and utility categories. The full catalog is at /docs/nodes.
Do I need to write code to build a pipeline?
No. Wireflow provides a visual drag-and-drop canvas where you connect model nodes and configure parameters. Once published, the pipeline is callable via REST API without additional coding.
Can I override pipeline parameters per API call?
Yes. The POST /execute request body accepts node overrides including prompts, resolution, and model settings. Default parameters set in the visual editor apply when no override is provided.
How does error handling work in pipelines?
Failed nodes return a FAILED status with the error message and failing node ID. The API also returns 402 with a credit breakdown if the pipeline requires more credits than your account holds.
Can I trigger pipelines without an API key?
Yes, via webhooks. POST to /workflow/{webhookId}/trigger requires no authentication. This is useful for connecting forms, Zapier, or CI systems to your pipeline without exposing API credentials.

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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

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.

Explore the API