Fal.ai
The generative media platform for developers with 600+ AI models for image, video, voice, and audio generation
In development
Cataloged and scoped, not yet available to run in production.
- 12
- actions
Integrations
View provider documentationActions
Operations this integration can perform.
Cancel Queue Request
Tool to cancel a queued or in-progress request in fal.ai's queue system. Use when you need to stop a request before it completes. Note that cancellation only succeeds if the request hasn't started processing; if already completed, returns an error status. Even with successful cancellation, the request may still execute if it was near the front of the queue.
Estimate Pricing
Tool to estimate pricing for fal.ai model endpoints. Use when you need to calculate expected costs for API calls or unit-based usage across one or more endpoints.
Get JWKS for Webhook Verification
Tool to retrieve public keys for webhook signature verification. Returns a JSON Web Key Set containing ED25519 public keys. Use when you need to verify webhook signatures from fal.ai. The keys are cacheable but should be refreshed at least every 24 hours.
Get Models
Tool to discover and search fal.ai model endpoints. Use when you need to list all models, find specific models by ID, or search by category/query. Supports pagination and optional expansion of OpenAPI schemas.
Get Model Pricing
Tool to retrieve unit pricing for model endpoints. Returns pricing information including unit price, billing unit, and currency. Use when you need to check costs for specific fal.ai models.
Get Queue Request Result
Tool to retrieve the final result of a completed queue request. Use when you need to get the output of a model request that was submitted to the queue and has finished processing. Only works after request status transitions to COMPLETED.
Get Queue Request Status With Logs
Tool to retrieve the current status of a queued request with detailed logging information. Use when you need to monitor a queued request's progress and access execution logs for debugging or tracking purposes. Logs include timestamps, severity levels, and detailed messages about request processing.
Check Queue Request Status
Tool to check the status of a queued request in fal.ai. Use when you need to monitor the progress of an async request. Returns different information based on status: queue position when IN_QUEUE, logs when IN_PROGRESS or COMPLETED.
Triggers
Events that start workflows from this integration.
Request Completed
Fires when an asynchronous request to a Fal.ai model or application completes, either successfully or with an error. This is useful for long-running tasks like model training or video generation where you don't want to keep a connection open and prefer to receive results via a webhook.
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