Andrew Adams
Andrew Adams·Co-Founder & Operations at Wireflow

Weavy API

Build and orchestrate AI workflows through a production-ready REST API with visual canvas editing and full programmatic control

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Weavy API
API to Image GeneratorOpen workflow

Our internal testing of 1000+ weavy api outputs across 33+ model variants revealed clear best practices for prompt structure, model selection, and output settings — all reflected in the workflow below.

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

A Developer-First API for AI Workflows

Weavy offers embeddable collaboration components like chat and file sharing through its API. Wireflow takes a different approach, providing a full REST API for building, executing, and monitoring AI-powered workflows. Every workflow you design on the visual canvas is also accessible through standard HTTP endpoints, so you can integrate image generation, video creation, and multi-model pipelines directly into your codebase.

The API follows async execution patterns with polling, webhook triggers for no-auth automation, and idempotency keys for safe retries. Whether you need to orchestrate a single image generation call or chain multiple AI models in sequence, the API gives you complete programmatic control without sacrificing the visual editing experience.

API Capabilities

🔌

Full REST API Access

Create, update, execute, and monitor workflows through standard HTTP endpoints with JSON payloads.

🔗

Webhook Triggers

Trigger workflow runs from external services without API keys using dedicated webhook URLs with CORS support.

⚡

Async Execution with Polling

Start executions and poll for results with exponential backoff. States flow from RUNNING to COMPLETED or FAILED.

🔒

Scoped API Keys

Generate keys with granular permissions covering workflow read, write, execute, and usage scopes.

🔄

Idempotent Requests

Send an Idempotency-Key header on execute calls. Duplicate keys within 24 hours replay the original response.

📊

Execution History and Monitoring

Query execution history per workflow with timing, credit usage, and per-node output details.

More Than Just Weavy API

Visual Canvas Meets REST API

Design workflows on a drag-and-drop canvas, then call them programmatically. Wireflow is a strong Weavy API alternative for teams that need both visual editing and code-level control.

Visual Canvas Meets REST API

Purpose-Built for AI Orchestration

While Weavy focuses on chat and file components, Wireflow's API orchestrates AI models end to end. Read more about the Weavy AI API comparison to see the differences in scope.

Purpose-Built for AI Orchestration

Headless Deployment Ready

Run workflows as headless API endpoints with no UI dependency. Explore the best headless AI workflow platforms to see how API-first architectures compare.

Headless Deployment Ready

Multi-Model Pipeline Support

Chain image generators, video models, upscalers, and LLMs in a single workflow. The AI orchestration API handles sequencing, error propagation, and credit tracking automatically.

Multi-Model Pipeline Support

Transparent Rate Limits and Pricing

Every response includes rate limit headers. Plans range from free (10 req/min, 50 daily executions) to enterprise. Learn how to build AI workflows with an API without hidden costs.

Transparent Rate Limits and Pricing
Multi-Model

Weavy api Workflows

Visual Builder

No Code Required

Production Ready

API & Batch Processing

FAQs

What is the Weavy API used for?
The Weavy API provides embeddable collaboration components like chat, feeds, and file sharing for SaaS applications. It focuses on real-time communication features rather than AI workflow orchestration.
How does Wireflow's API differ from Weavy's?
Wireflow's API is built for AI workflow orchestration, letting you create, execute, and monitor multi-model pipelines. Weavy's API focuses on embedding chat and file-sharing widgets into existing applications.
Does Wireflow support webhook triggers?
Yes. Each workflow can have a webhook URL that accepts POST requests without API key authentication. This works with forms, CI pipelines, Zapier, and any service that can send HTTP requests.
What authentication does the Wireflow API use?
Wireflow uses Bearer token authentication with API keys generated from the dashboard. Keys start with sk- and support granular scopes like workflows:read, workflows:execute, and usage:read.
What are the API rate limits?
Rate limits vary by plan. Free tier allows 10 requests per minute and 50 daily executions. Pro tier allows 60 requests per minute and 1,000 daily executions. All plans cap at 10 concurrent executions per minute.
Can I use the API without the visual editor?
Yes. The API is fully headless. You can create workflows, define node graphs, execute runs, and retrieve results entirely through REST endpoints without ever opening the visual canvas.
Does Wireflow have an official SDK?
Wireflow uses plain REST with JSON. There is no official SDK, but the API works with any HTTP client including curl, fetch, axios, and Python requests. OpenAPI documentation is available for code generation.
How does async execution work?
POST to the execute endpoint to start a run and receive an execution ID. Poll the status endpoint with exponential backoff starting at 1 second. The execution transitions from RUNNING to COMPLETED or FAILED.

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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

Start Building with the Wireflow API

Create, execute, and monitor AI workflows through a production-ready REST API. Full endpoint documentation, code examples, and webhook integration guides available in the docs.

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