AI Canvas API

An AI canvas API combines a visual drag-and-drop workflow builder with REST API endpoints. You design AI pipelines on a canvas and trigger them programmatically from any application using standard HTTP requests.

Generate an API key from your dashboard under Settings. Include it as a Bearer token in the Authorization header of every request. Keys are scoped with permissions like workflows:execute and executions:read.

Yes. Enable a webhook on any workflow to get a public trigger URL. POST to that URL without authentication to start an execution. Use your API key separately to poll for results.

The API uses asynchronous execution. POST to the execute endpoint to receive an executionId, then poll the status endpoint. States progress from RUNNING to COMPLETED or FAILED with full node outputs.

Rate limits scale by plan: Free allows 10 requests per minute, Starter 20, Pro 60, and Enterprise 200. Execution concurrency is capped at 10 per minute on all plans. Response headers show remaining quota.

Each workflow supports up to 100 nodes and 500 edges. Node data nesting is limited to 10 levels. For most production use cases, workflows with 3 to 10 nodes handle image generation, processing, and video output.

Wireflow uses plain REST with JSON payloads, so no SDK is required. Any HTTP client works, including curl, fetch, axios, and Python requests. This keeps integrations dependency-free and language-agnostic.

Yes. Include an Idempotency-Key header with your POST request. Identical keys within 24 hours replay the original response without running the workflow again. This protects against network retries and duplicate triggers.