Lightning.AI website screenshot

Lightning.AI

Lightning AI is an AI development cloud from the creators of PyTorch Lightning. The platform bundles browser-based GPU Studios, batch and multi-node training jobs, autoscaled model and container deployments, ephemeral code-execution Sandboxes, teamspace data and model registries, and an OpenAI-compatible LLM gateway (Model APIs) that fronts hosted models from OpenAI, Anthropic, Google and open-weights providers behind one key and one bill. Developers reach the platform through the lightning-sdk Python package and its lightning CLI, an @lightningai/sdk TypeScript SDK for Sandboxes, and a v1 REST surface reachable with the `lightning api` escape hatch. Lightning AI also publishes an llms.txt, a docs manifest registry, and six first-party Agent Skills in SKILL.md format for coding agents.

Lightning.AI publishes 2 APIs on the APIs.io network. Tagged areas include Company, Ai Infrastructure, Artificial Intelligence, Machine Learning, and GPU Cloud.

Lightning.AI’s developer surface includes documentation, API reference, getting-started guide, engineering blog, CLI, authentication, sandbox, and 16 more developer resources.

30.5/100 thin ▬ flat Agent 25/100 agent aware Full breakdown ↓
scored 2026-07-27 · rubric v0.5
AccessSelf serve
2 APIs
CompanyAi InfrastructureArtificial IntelligenceMachine LearningGPU CloudModel InferenceLLM GatewayDeveloper ToolsMLOpsDeployment

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 30.5/100 · thin
Contract Quality 0.0 / 25
Developer Ergonomics 14.8 / 20
Commercial Clarity 3.7 / 20
Operational Transparency 2.7 / 13
Governance 0.0 / 12
Discoverability 9.3 / 10
Agent readiness — 25/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 5 / 5
Well-Known Catalog 4 / 4
Consent & Bot Identity 0 / 3
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/lightningai: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 2

Individual APIs this provider publishes, each with its own machine-readable definition.

Lightning AI Model APIs

OpenAI-compatible LLM gateway. Call hosted models from OpenAI, Anthropic, Google and open-weights providers through a single Bearer-authenticated endpoint with one bill, using p...

Lightning AI Platform API

The v1 REST surface behind the Lightning AI platform — Studios, Jobs, multi-machine training, Deployments, Sandboxes, teamspaces, memberships, datasets and the model checkpoint ...

Rate Limits 1

Documented rate limits and quota policies.

Lightningai Rate Limits

0 limits

RATE LIMITS

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Lightningai Authentication

http-basic/http-bearer · 2 schemes

SECURITY

Lightningai Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Build 4

SDKs, sample code, and the tooling you integrate with

Access & Security 3

Authentication, authorization, and security posture

Operate 2

Status, limits, changes, and where to get help

Commercial 1

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: lightningai
name: Lightning.AI
description: Lightning AI is an AI development cloud from the creators of PyTorch Lightning. The platform bundles browser-based
  GPU Studios, batch and multi-node training jobs, autoscaled model and container deployments, ephemeral code-execution Sandboxes,
  teamspace data and model registries, and an OpenAI-compatible LLM gateway (Model APIs) that fronts hosted models from OpenAI,
  Anthropic, Google and open-weights providers behind one key and one bill. Developers reach the platform through the lightning-sdk
  Python package and its lightning CLI, an @lightningai/sdk TypeScript SDK for Sandboxes, and a v1 REST surface reachable
  with the `lightning api` escape hatch. Lightning AI also publishes an llms.txt, a docs manifest registry, and six first-party
  Agent Skills in SKILL.md format for coding agents.
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://avatars.githubusercontent.com/u/58386951?s=200&v=4
url: https://raw.githubusercontent.com/api-evangelist/lightningai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- bain-capital-ventures
x-tier: enriched
x-tier-reason: enrichment-pipeline
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Ai Infrastructure
- Artificial Intelligence
- Machine Learning
- GPU Cloud
- Model Inference
- LLM Gateway
- Developer Tools
- MLOps
- Deployment
apis:
- aid: lightningai:model-apis
  name: Lightning AI Model APIs
  description: OpenAI-compatible LLM gateway. Call hosted models from OpenAI, Anthropic, Google and open-weights providers
    through a single Bearer-authenticated endpoint with one bill, using provider/model names such as openai/gpt-5 or anthropic/claude-opus-4-8.
    Every user receives 30 million free tokens per month. The public model catalog is served unauthenticated at https://lightning.ai/api/v1/models.
  humanURL: https://lightning.ai/docs/platform/inference/model-apis
  baseURL: https://lightning.ai/v1
  tags:
  - LLM Gateway
  - Model Inference
  - Artificial Intelligence
  properties:
  - type: Documentation
    url: https://lightning.ai/docs/platform/inference/model-apis
  - type: RateLimits
    url: rate-limits/lightningai-rate-limits.yml
  - type: Authentication
    url: authentication/lightningai-authentication.yml
- aid: lightningai:platform-api
  name: Lightning AI Platform API
  description: The v1 REST surface behind the Lightning AI platform — Studios, Jobs, multi-machine training, Deployments,
    Sandboxes, teamspaces, memberships, datasets and the model checkpoint registry. Authenticated with HTTP Basic using LIGHTNING_USER_ID
    and LIGHTNING_API_KEY, and reachable from the CLI with `lightning api <endpoint>` for anything the SDK does not wrap.
  humanURL: https://lightning.ai/docs/platform/developers/sdk
  baseURL: https://lightning.ai/api/v1
  tags:
  - Developer Tools
  - MLOps
  - Deployment
  properties:
  - type: Documentation
    url: https://lightning.ai/docs/platform/developers/sdk
  - type: Authentication
    url: authentication/lightningai-authentication.yml
  - type: Conventions
    url: conventions/lightningai-conventions.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://lightning.ai/
- type: DeveloperPortal
  url: https://lightning.ai/docs/platform/developers
- type: Documentation
  url: https://lightning.ai/docs
- type: APIReference
  url: https://lightning.ai/docs/overview/sdk-reference
- type: GettingStarted
  url: https://lightning.ai/docs/platform/overview/getting-started
- type: Blog
  url: https://lightning.ai/blog
- type: GitHubOrganization
  url: https://github.com/Lightning-AI
- type: PrivacyPolicy
  url: https://www.grid.ai/privacy-policy/
- type: StatusPage
  url: https://status.lightning.ai/
- type: Compliance
  url: https://lightning.ai/docs/platform/security/compliance
- type: LLMsTxt
  url: llms/lightningai-llms.txt
- type: Packages
  url: packages/lightningai-packages.yml
- type: SDKs
  url: packages/lightningai-packages.yml
- type: CLI
  url: cli/lightningai-cli.yml
- type: WellKnown
  url: well-known/lightningai-well-known.yml
- type: Authentication
  url: authentication/lightningai-authentication.yml
- type: Conventions
  url: conventions/lightningai-conventions.yml
- type: RateLimits
  url: rate-limits/lightningai-rate-limits.yml
- type: Conformance
  url: conformance/lightningai-conformance.yml
- type: Lifecycle
  url: lifecycle/lightningai-lifecycle.yml
- type: Sandbox
  url: sandbox/lightningai-sandbox.yml
- type: DomainSecurity
  url: security/lightningai-domain-security.yml
- type: AgentSkill
  url: skills/_index.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence