fal (Features and Labels, Inc.) is a generative media platform providing the world's fastest API for running image, video, audio, and multimodal generative AI models. Through a unified queue-based REST API at https://queue.fal.run, plus realtime WebSocket and SSE streaming surfaces, fal serves 1,000+ production models — including FLUX, Veo 3, Kling, Wan, Seedream, Nano Banana, and Stable Diffusion — on autoscaling GPU infrastructure. fal Serverless lets developers ship custom models with `@fal.function` / `fal.App` / BYO containers, while fal Compute provides dedicated H100/H200/A100/B200 instances. Trusted by Canva, Perplexity, Poe, and 1.5M+ developers; Series D funded ($140M, Sequoia-led, December 2025); SOC 2 with 99.99% uptime.
fal publishes 12 API contracts indexed on the APIs.io network, including Realtime API, Streaming API, Apps API, and 9 more. Tagged areas include Artificial Intelligence, Generative AI, Generative Media, Image Generation, and Video Generation.
The fal catalog on APIs.io includes 1 event-driven AsyncAPI specification, 1 JSON-LD context, and 3 Spectral governance rulesets.
fal’s developer surface includes authentication, changelog, CLI, developer portal, documentation, getting-started guide, engineering blog, and 62 more developer resources.
The questions people put to an LLM, and the jobs they hand an agent, that fal's APIs answer — each one linked to the operation that does it.
Generated by API Evangelist
Regulatory Posture applies to this provider. Its tags matched the
AI & Biometrics regime, so
Regulatory Posture carries 15 points of the composite.
If this regime is wrong for your business, say so on your
provider repo — the
applicability map is public and we will correct it.
Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it
carries 10 points of the composite. It is scored from the published contracts
themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already
holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in
front of it, and the first time that check is skipped a duplicate record is created.
Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet,
not penalised by it.
The six quality facets above are damped to 75 points between them,
because the conditional facet above carries the other
25. That is why each facet's contribution is shown against a damped
maximum: raising a quality facet moves the composite by 75% of its nominal
weight, not 100%. The full arithmetic is at apis.io/rating/.
Show this score on your site.
It updates itself when the score changes. Paste this where you link to your API docs:
<a href="https://apis.io/providers/fal-ai/"><img src="https://apis.io/badge/fal-ai/card.svg" alt="fal on APIs.io — Kin Score by API Evangelist"></a>
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Agent readiness — checks not met, largest first (exact, from this profile):
Idempotency+9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
A2A Agent Card+8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Pagination+5 pts — share of collection GETs (an array, or one wrapped in data/items/results ...) that declare a page/limit/offset/cursor parameter, a Link header or a next/cursor field; na with no collection GETs
Agent Skills+5 pts — skills artifact present, graded by who authored it
Agentic Commerce Well-Known Document+5 pts — a parsing /.well-known/ucp.json or acp.json declaring a version and at least one service, OR (0.27) a live x402 payment challenge from _data/x402-adoption.json — `self` when its endpoints are on the provider's own domain, `platform` when they are on a vendor's
The Kin Score Market layer reads a provider inside its market:
its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted:
not part of the Kin Score or agent readiness.
Registered MCP server and declares compatibility are report only — not weighted.
Undeclared means we found nothing we can read, so there is no number: we never infer integrations.
Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.
WebSocket-based realtime inference for ultra-low latency interactive generative experiences such as LCM/SDXL sketch-to-image, live-portrait, and realtime upscaling. Bi-direction...
HTTP streaming endpoint (`/{model-id}/stream`) that emits progressive partial outputs as a model runs — used for LLM/VLM token streams, incremental video frames, and step-by-ste...
Read-only discovery endpoints for browsing fal's 1,000+ production model catalog, including model metadata, capability tags, pricing per output, supported parameters, example in...
Provision and manage dedicated GPU instances (H100, H200, A100, B200) with full SSH access for training, fine-tuning, and persistent workloads. Hourly or per-second billing with...
Manage fal API keys — create, list, scope, and revoke keys used to authenticate against the Model, Storage, Serverless, and Compute APIs via the Authorization: Key $FAL_KEY header.
Programmatic access to usage metrics, per-model spend, GPU-second consumption, and invoicing history. Surfaces the same data shown on the fal dashboard so platform teams can pip...
AsyncAPI description of fal's event-driven inference surfaces. fal exposes two real-time channels in addition to its REST queue: (1) a Server-Sent Events stream that pushes incr...
Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.
aid: fal-ai
url: https://raw.githubusercontent.com/api-evangelist/fal-ai/refs/heads/main/apis.yml
apis:
- aid: fal-ai:fal-realtime-api
name: fal Realtime API
tags:
- Artificial Intelligence
- Generative AI
- Real-Time
- WebSocket
- Streaming
- Inference
tags_raw:
- AI
- Generative AI
- Realtime
- WebSocket
- Streaming
- Inference
humanURL: https://fal.ai/docs/model-apis/real-time
baseURL: wss://realtime.fal.run
properties:
- url: https://fal.ai/docs/model-apis/real-time
type: Documentation
- url: https://github.com/fal-ai/real-time-demo-app
type: CodeExamples
- url: asyncapi/fal-ai-asyncapi.yml
type: AsyncAPI
description: WebSocket-based realtime inference for ultra-low latency interactive generative experiences such as LCM/SDXL
sketch-to-image, live-portrait, and realtime upscaling. Bi-directional binary/JSON messaging keeps a persistent connection
open so each frame, prompt, or pose adjustment is processed in milliseconds. Powers fal.realtime client utilities used
in canvas apps, drawing tools, AR experiences, and live video pipelines.
- aid: fal-ai:fal-streaming-api
name: fal Streaming API
tags:
- Artificial Intelligence
- Generative AI
- Streaming
- Server-Sent Events
- Inference
tags_raw:
- AI
- Generative AI
- Streaming
- Server-Sent Events
- Inference
humanURL: https://fal.ai/docs/model-apis/streaming
baseURL: https://queue.fal.run
properties:
- url: https://fal.ai/docs/model-apis/streaming
type: Documentation
- url: asyncapi/fal-ai-asyncapi.yml
type: AsyncAPI
description: HTTP streaming endpoint (`/{model-id}/stream`) that emits progressive partial outputs as a model runs — used
for LLM/VLM token streams, incremental video frames, and step-by-step image diffusion previews. Compatible with Server-Sent
Events parsers in the official fal-client SDKs.
- aid: fal-ai:fal-models-catalog-api
name: fal Models Catalog API
tags:
- Artificial Intelligence
- Generative AI
- Catalog
- Discovery
tags_raw:
- AI
- Generative AI
- Catalog
- Discovery
humanURL: https://fal.ai/models
properties:
- url: https://fal.ai/models
type: Documentation
description: Read-only discovery endpoints for browsing fal's 1,000+ production model catalog, including model metadata,
capability tags, pricing per output, supported parameters, example inputs, and OpenAPI schemas per model. Backs the model
gallery, search, and SDK tooling.
- aid: fal-ai:fal-compute-api
name: fal Compute API
tags:
- Artificial Intelligence
- GPU
- Compute
- Infrastructure
- Dedicated
tags_raw:
- AI
- GPU
- Compute
- Infrastructure
- Dedicated
humanURL: https://fal.ai/compute
baseURL: https://rest.alpha.fal.ai
properties:
- url: https://fal.ai/compute
type: Documentation
description: Provision and manage dedicated GPU instances (H100, H200, A100, B200) with full SSH access for training, fine-tuning,
and persistent workloads. Hourly or per-second billing with no lock-in.
- aid: fal-ai:fal-keys-api
name: fal API Keys API
tags:
- Artificial Intelligence
- Administration
- Authentication
- APIKeys
tags_raw:
- AI
- Administration
- Authentication
- API Keys
humanURL: https://fal.ai/dashboard/keys
baseURL: https://rest.alpha.fal.ai
properties:
- url: https://fal.ai/dashboard/keys
type: Documentation
description: 'Manage fal API keys — create, list, scope, and revoke keys used to authenticate against the Model, Storage,
Serverless, and Compute APIs via the Authorization: Key $FAL_KEY header.'
- aid: fal-ai:fal-usage-billing-api
name: fal Usage and Billing API
tags:
- Artificial Intelligence
- Administration
- Usage
- Billing
- FinOps
tags_raw:
- AI
- Administration
- Usage
- Billing
- FinOps
humanURL: https://fal.ai/dashboard/usage
baseURL: https://rest.alpha.fal.ai
properties:
- url: https://fal.ai/dashboard/usage
type: Documentation
description: Programmatic access to usage metrics, per-model spend, GPU-second consumption, and invoicing history. Surfaces
the same data shown on the fal dashboard so platform teams can pipe inference cost into internal FinOps tooling.
- aid: fal-ai:fal-ai-apps-api
name: fal Apps API
description: List and inspect deployed Serverless apps.
humanURL: https://fal.ai/docs/model-apis/quickstart
baseURL: https://queue.fal.run
tags:
- Application
tags_raw:
- Apps
properties:
- type: OpenAPI
url: openapi/fal-ai-apps-api-openapi.yml
- type: Documentation
url: https://fal.ai/docs/model-apis/quickstart
- type: Documentation
url: https://fal.ai/models
- type: JSONSchema
url: json-schema/fal-queue-request-schema.json
- type: JSONSchema
url: json-schema/fal-queue-status-schema.json
- type: JSONLD
url: json-ld/fal-ai-context.jsonld
- type: Documentation
url: https://fal.ai/docs/model-apis/file-uploads
- type: Documentation
url: https://fal.ai/docs/private-serverless-models
- type: SDKs
url: https://github.com/fal-ai/fal
- aid: fal-ai:fal-ai-files-api
name: fal Files API
description: Manage files on persistent Serverless `/data` volumes.
humanURL: https://fal.ai/docs/model-apis/quickstart
baseURL: https://queue.fal.run
tags:
- File
tags_raw:
- Files
properties:
- type: OpenAPI
url: openapi/fal-ai-files-api-openapi.yml
- type: Documentation
url: https://fal.ai/docs/model-apis/quickstart
- type: Documentation
url: https://fal.ai/models
- type: JSONSchema
url: json-schema/fal-queue-request-schema.json
- type: JSONSchema
url: json-schema/fal-queue-status-schema.json
- type: JSONLD
url: json-ld/fal-ai-context.jsonld
- type: Documentation
url: https://fal.ai/docs/model-apis/file-uploads
- type: Documentation
url: https://fal.ai/docs/private-serverless-models
- type: SDKs
url: https://github.com/fal-ai/fal
- aid: fal-ai:fal-ai-queue-api
name: fal Queue API
description: Submit, inspect, and cancel model inference jobs.
humanURL: https://fal.ai/docs/model-apis/quickstart
baseURL: https://queue.fal.run
tags:
- Queues
tags_raw:
- Queue
properties:
- type: OpenAPI
url: openapi/fal-ai-queue-api-openapi.yml
- type: Documentation
url: https://fal.ai/docs/model-apis/quickstart
- type: Documentation
url: https://fal.ai/models
- type: JSONSchema
url: json-schema/fal-queue-request-schema.json
- type: JSONSchema
url: json-schema/fal-queue-status-schema.json
- type: JSONLD
url: json-ld/fal-ai-context.jsonld
- type: Documentation
url: https://fal.ai/docs/model-apis/file-uploads
- type: Documentation
url: https://fal.ai/docs/private-serverless-models
- type: SDKs
url: https://github.com/fal-ai/fal
- aid: fal-ai:fal-ai-secrets-api
name: fal Secrets API
description: Manage per-org secrets injected into Serverless runs.
humanURL: https://fal.ai/docs/model-apis/quickstart
baseURL: https://queue.fal.run
tags:
- Secrets
properties:
- type: OpenAPI
url: openapi/fal-ai-secrets-api-openapi.yml
- type: Documentation
url: https://fal.ai/docs/model-apis/quickstart
- type: Documentation
url: https://fal.ai/models
- type: JSONSchema
url: json-schema/fal-queue-request-schema.json
- type: JSONSchema
url: json-schema/fal-queue-status-schema.json
- type: JSONLD
url: json-ld/fal-ai-context.jsonld
- type: Documentation
url: https://fal.ai/docs/model-apis/file-uploads
- type: Documentation
url: https://fal.ai/docs/private-serverless-models
- type: SDKs
url: https://github.com/fal-ai/fal
- aid: fal-ai:fal-ai-storage-api
name: fal Storage API
description: Upload binary assets to the fal CDN.
humanURL: https://fal.ai/docs/model-apis/quickstart
baseURL: https://queue.fal.run
tags:
- Storage
properties:
- type: OpenAPI
url: openapi/fal-ai-storage-api-openapi.yml
- type: Documentation
url: https://fal.ai/docs/model-apis/quickstart
- type: Documentation
url: https://fal.ai/models
- type: JSONSchema
url: json-schema/fal-queue-request-schema.json
- type: JSONSchema
url: json-schema/fal-queue-status-schema.json
- type: JSONLD
url: json-ld/fal-ai-context.jsonld
- type: Documentation
url: https://fal.ai/docs/model-apis/file-uploads
- type: Documentation
url: https://fal.ai/docs/private-serverless-models
- type: SDKs
url: https://github.com/fal-ai/fal
- aid: fal-ai:fal-ai-streaming-api
name: fal Streaming API
description: Server-sent streaming of incremental model output.
humanURL: https://fal.ai/docs/model-apis/quickstart
baseURL: https://queue.fal.run
tags:
- Streaming
properties:
- type: OpenAPI
url: openapi/fal-ai-streaming-api-openapi.yml
- type: Documentation
url: https://fal.ai/docs/model-apis/quickstart
- type: Documentation
url: https://fal.ai/models
- type: JSONSchema
url: json-schema/fal-queue-request-schema.json
- type: JSONSchema
url: json-schema/fal-queue-status-schema.json
- type: JSONLD
url: json-ld/fal-ai-context.jsonld
- type: Documentation
url: https://fal.ai/docs/model-apis/file-uploads
- type: Documentation
url: https://fal.ai/docs/private-serverless-models
- type: SDKs
url: https://github.com/fal-ai/fal
name: fal
tags:
- Artificial Intelligence
- Generative AI
- Generative Media
- Image Generation
- Video Generation
- Audio Generation
- Inference
- Serverless
- GPU
- MCP
- Real-Time
tags_raw:
- AI
- Artificial Intelligence
- Generative AI
- Generative Media
- Image Generation
- Video Generation
- Audio Generation
- Inference
- Serverless
- GPU
- MCP
- Image-Generation
- Real-Time
kind: contract
deliveryModel:
model: saas
open_source: false
commercial: true
callable_host: true
label: Hosted service · you call their endpoint
confidence: high
source:
- openapi
- pricing
generated: '2026-08-28'
method: derived
accessModel:
pricing: paid
onboarding: unknown
trial: false
try_now: false
public: false
label: Paid
confidence: medium
source:
- plans
- authentication
- security
generated: '2026-11-06'
method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/fal-ai.png
access: 3rd-Party
common:
- type: Website
url: https://www.fal.ai/
- type: CapabilityMap
url: capabilities/fal-ai-capability-edges.yml
name: fal Business Capability Map
- type: Overlay
url: overlays/fal-ai-model-apis-overlay.yaml
- type: AgenticAccess
url: agentic-access/fal-ai-agentic-access.yml
- type: DomainSecurity
url: security/fal-ai-domain-security.yml
- type: Authentication
url: authentication/fal-ai-authentication.yml
- type: Packages
url: packages/fal-ai-packages.yml
- type: WellKnown
url: well-known/fal-ai-well-known.yml
- type: MCPServer
url: mcp/fal-ai-mcp.yml
- type: LLMsTxt
url: llms/fal-ai-llms.txt
- type: LLMsTxt
name: llms-full
url: llms/fal-ai-llms-full.txt
- type: Conformance
url: conformance/fal-ai-conformance.yml
- type: ErrorCatalog
url: errors/fal-ai-problem-types.yml
- type: Lifecycle
url: lifecycle/fal-ai-lifecycle.yml
- type: Conventions
url: conventions/fal-ai-conventions.yml
- type: DataModel
url: data-model/fal-ai-data-model.yml
- type: ChangeLog
url: changelog/fal-ai-changelog.yml
- type: CLI
url: cli/fal-ai-cli.yml
- type: PostmanWorkspace
url: https://www.postman.com/kinlaneapi/fal/overview
- type: Arazzo
url: arazzo/fal-ai-image-to-image-result-workflow.yml
name: fal Upload, Run Image-To-Image With Webhook
- type: Arazzo
url: arazzo/fal-ai-queue-inference-workflow.yml
name: fal Queue Inference
- type: Arazzo
url: arazzo/fal-ai-serverless-app-discovery-workflow.yml
name: fal Serverless App Discovery
- type: Arazzo
url: arazzo/fal-ai-serverless-app-files-workflow.yml
name: fal Serverless App Files Inspection
- type: Arazzo
url: arazzo/fal-ai-set-and-verify-secret-workflow.yml
name: fal Set And Verify Serverless Secret
- type: Arazzo
url: arazzo/fal-ai-stream-inference-workflow.yml
name: fal Streaming Inference
- type: Arazzo
url: arazzo/fal-ai-submit-and-cancel-workflow.yml
name: fal Submit And Conditionally Cancel
- type: Arazzo
url: arazzo/fal-ai-upload-then-inference-workflow.yml
name: fal Upload Asset Then Run Inference
- type: Arazzo
url: arazzo/fal-ai-webhook-submission-workflow.yml
name: fal Webhook-Backed Submission
- type: Portal
url: https://fal.ai
- type: Documentation
url: https://fal.ai/docs
- type: Documentation
name: Model APIs Quickstart
url: https://fal.ai/docs/model-apis/quickstart
- type: Documentation
name: Model Gallery
url: https://fal.ai/models
- type: Documentation
name: Authentication
url: https://fal.ai/docs/authentication
- type: Documentation
name: Webhooks
url: https://fal.ai/docs/model-apis/webhooks
- type: Documentation
name: Realtime
url: https://fal.ai/docs/model-apis/real-time
- type: Documentation
name: Streaming
url: https://fal.ai/docs/model-apis/streaming
- type: Documentation
name: File Uploads
url: https://fal.ai/docs/model-apis/file-uploads
- type: Documentation
name: Private Serverless Models
url: https://fal.ai/docs/private-serverless-models
- type: GettingStarted
url: https://fal.ai/docs/model-apis/quickstart
- type: StatusPage
url: https://status.fal.ai
- type: Blog
url: https://blog.fal.ai
- type: Signup
url: https://fal.ai/login
- type: Pricing
url: https://fal.ai/pricing
- type: Support
name: Discord
url: https://discord.gg/fal-ai
- type: Forums
url: https://discord.gg/fal-ai
- type: TermsOfService
url: https://fal.ai/legal/terms-of-service
- type: PrivacyPolicy
url: https://fal.ai/legal/privacy-policy
- type: TrustCenter
url: https://trust.fal.ai
- type: TrustCenter
name: Trust Center Artifact
url: security/fal-ai-trust-center.yml
- type: LinkedIn
url: https://www.linkedin.com/company/featuresandlabels
- type: Twitter
url: https://twitter.com/fal
- type: GitHubOrganization
url: https://github.com/fal-ai
- type: SDKs
name: fal Python Client
url: https://github.com/fal-ai/fal-client-python
- type: SDKs
name: fal JavaScript Client
url: https://github.com/fal-ai/fal-js
- type: SDKs
name: fal Swift Client
url: https://github.com/fal-ai/fal-swift
- type: SDKs
name: fal Java/Kotlin Client
url: https://github.com/fal-ai/fal-java
- type: SDKs
name: fal Dart/Flutter Client
url: https://github.com/fal-ai/fal-dart
- type: SDKs
name: fal Python SDK / Serverless
url: https://github.com/fal-ai/fal
- type: Tools
name: fal Terraform Provider
url: https://github.com/fal-ai/terraform-provider-fal
- type: Tools
name: fal Blender Extension
url: https://github.com/fal-ai/fal-blender-extension
- type: Tools
name: fal VS Code Extension (Serverless)
url: https://github.com/fal-ai/serverless-vscode
- type: CodeExamples
name: Awesome fal
url: https://github.com/fal-ai/awesome
- type: CodeExamples
name: Real-Time Demo App
url: https://github.com/fal-ai/real-time-demo-app
- type: CodeExamples
name: fal Next.js Template
url: https://github.com/fal-ai/fal-nextjs-template
- type: Documentation
name: MCP Server
url: https://fal.ai/docs/mcp-server
- type: Documentation
name: ComfyUI Integration
url: https://fal.ai/docs/comfyui
- url: plans/fal-ai-plans-pricing.yml
type: Plans
- url: rate-limits/fal-ai-rate-limits.yml
type: RateLimits
- url: finops/fal-ai-finops.yml
type: FinOps
- type: Features
data:
- Unified queue-based REST API at https://queue.fal.run/{model-id} for 1,000+ generative models
- Image generation models — FLUX (Schnell, Dev, Pro, Kontext Pro), Seedream V4, Nano Banana, Qwen, SDXL, SD3, Ideogram,
Recraft
- Video generation models — Veo 3, Kling 2.5 Turbo Pro, Wan 2.5, Seedance 2.0, Ovi, Hunyuan, Sora-class
- Audio and voice models — Inworld TTS-1.5, ElevenLabs, MMAudio, MusicGen, Stable Audio
- 3D and multimodal models — TripoSR, Hunyuan3D, LivePortrait, FaceChain
- Synchronous, asynchronous queue, server-sent streaming, and WebSocket realtime invocation modes
- Webhook callbacks for queue completion with HMAC signature verification
- File uploads / CDN storage at https://v3.fal.media with signed upload URLs
- fal Serverless — `@fal.function`, `fal.App`, BYO container deployment with autoscaling from 0 to thousands of GPUs
- fal Compute — dedicated H100/H200/A100/B200 instances with SSH and per-second billing
- Per-output billing (image, video second, audio minute) plus per-second GPU billing for custom deployments
- 99.99% uptime SLA, SOC 2 compliance, private endpoints, and enterprise support
- Proprietary Inference Engine — up to 10x faster than reference implementations
- Official SDKs for Python (fal-client), JavaScript/TypeScript (@fal-ai/client), Swift, Java/Kotlin, Dart
- fal CLI for serverless deploy / run / apps / secrets / auth
- fal MCP Server exposing all 1,000+ models to AI assistants via the Model Context Protocol
- ComfyUI and Blender extensions, plus Terraform provider for infra-as-code
- Day-zero launch partner for major model releases (FLUX, Veo, Kling, Seedance, Wan, etc.)
sources:
- https://fal.ai
- https://fal.ai/docs
- https://fal.ai/pricing
- https://fal.ai/models
- https://github.com/fal-ai
- https://blog.fal.ai
updated: '2026-05-25'
created: '2026-05-25'
modified: '2026-06-20'
position: Consuming
description: fal (Features and Labels, Inc.) is a generative media platform providing the world's fastest API for running
image, video, audio, and multimodal generative AI models. Through a unified queue-based REST API at https://queue.fal.run,
plus realtime WebSocket and SSE streaming surfaces, fal serves 1,000+ production models — including FLUX, Veo 3, Kling,
Wan, Seedream, Nano Banana, and Stable Diffusion — on autoscaling GPU infrastructure. fal Serverless lets developers ship
custom models with `@fal.function` / `fal.App` / BYO containers, while fal Compute provides dedicated H100/H200/A100/B200
instances. Trusted by Canva, Perplexity, Poe, and 1.5M+ developers; Series D funded ($140M, Sequoia-led, December 2025);
SOC 2 with 99.99% uptime.
maintainers:
- FN: Kin Lane
email: info@apievangelist.com
X: apievangelist
url: https://apievangelist.com
specificationVersion: '0.23'
fal API — frequently asked questions
Does fal have an API?
Yes. APIs.io lists 12 APIs from fal, including fal Realtime API, fal Streaming API and fal Models Catalog API, and 9 more.
Is there an OpenAPI specification for the fal API?
Yes. APIs.io indexes 6 OpenAPI specifications for fal, each linked for download from this page.
How do I authenticate with the fal API?
fal documents its authentication (apiKey · 1 scheme). The details are profiled on APIs.io as Fal Ai Authentication.
How much does the fal API cost?
fal publishes its prices; its B300 GPU (list price) plan is $8.50/h as of 2026-09-20. APIs.io lists 17 pricing plans for fal, with each plan's price, limits and inclusions under Pricing on this page.
Does fal have an MCP server?
Yes. APIs.io lists 1 MCP server for fal: Remote MCP server at mcp.fal.ai over HTTP; 9 tools listed.
Is the fal API ready for AI agents?
fal has a Kin Score of 65.6 out of 100 (strong) and an Agent Readiness score of 48.1 (agent-ready), scored by API Evangelist on 2026-11-06.
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Kin Score
How this is scored →
It updates itself when the score changes. Paste this where you link to your API docs: