Modal is a serverless cloud platform optimized for AI, data, and Python workloads. The Modal SDK and API let developers deploy GPU-accelerated functions, batch jobs, sandboxed code execution, web endpoints, and scheduled tasks with sub-second cold starts and pay-per-second billing.
URL: Visit APIs.json URL
Run: Capabilities Using Naftiko
- x-type: company
- AI, Serverless, Compute, Python, Inference, GPU
- Created: 2026-05-08
- Modified: 2026-05-08
| API | Description |
|---|---|
| Modal Functions API | Serverless Python functions with per-function GPU/CPU/memory and autoscaling. |
| Modal Apps API | Logical grouping/versioning of functions and resources. |
| Modal Sandboxes API | Isolated GPU-capable sandboxes for untrusted code (LLM agents). |
| Modal Images API | Container image build/cache pipeline (pip/conda/apt/Dockerfile). |
| Modal Volumes API | Distributed persistent volumes for weights/datasets. |
| Modal Network File Systems API | Shared mountable file systems across functions. |
| Modal Secrets API | Encrypted secrets injected as env vars. |
| Modal Web Endpoints API | HTTP / WebSocket / ASGI / WSGI endpoints. |
| Modal Cron API | Scheduled function runs with retries and history. |
| Modal Queues API | Distributed FIFO queues for async workloads. |
| Modal Dicts API | Distributed key-value state store. |
| Modal Tunnels API | Port forwarding for dev / hybrid networking. |
| Modal Environments API | Multi-env isolation (dev/staging/prod). |
| Modal Token / Workspace API | Workspace, token, and member management. |
- Website
- Documentation
- Plans — API Commons Plans 0.1
- RateLimits — API Commons Rate Limits 0.1
- FinOps — FOCUS-aligned FinOps Framework 1.0
| Artifact | Path | Notes |
|---|---|---|
| Plans | plans/modal-plans-pricing.yml |
Starter / Team / Enterprise + per-second compute (CPU, memory, GPU classes T4..B200, storage). |
| Rate Limits | rate-limits/modal-rate-limits.yml |
Tier-based concurrency caps (containers / GPUs / seats). |
| FinOps | finops/modal-finops.yml |
FOCUS-aligned, second-granularity meters per CPU/memory/GPU class + storage. |
FN: Kin Lane
Email: kin@apievangelist.com