Lepton AI

Lepton AI was acquired by NVIDIA in 2025 and the platform is now branded NVIDIA DGX Cloud Lepton. It is a fully managed AI platform that connects developers to global GPU compute across a federated network of cloud providers, with managed endpoints, dev sessions, distributed training, and batch processing.

Lepton AI is listed with 1 API on the APIs.io network. Tagged areas include Artificial Intelligence, Machine Learning, Inference, Cloud, and GPU.

Lepton AI’s developer surface includes documentation and 9 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

10.0/100 minimal ▬ flat Agent 2/100 human only Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessEnterprise

1 API

Artificial Intelligence Machine Learning Inference Cloud GPU NVIDIADGX Cloud

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 10.0/100 · minimal

Contract Quality 1.4 / 21

Developer Ergonomics 1.6 / 17

Access Clarity 0.7 / 17

Operational Transparency 1.0 / 11

Contract Governance 0.0 / 10

Discoverability 5.6 / 9

Regulatory Posture 0.0 / 15

Agent readiness — 2/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) 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 could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document Ask about this →
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey) Ask about this →
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) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →

11 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 6.5 — up to +23.4 composite points Ask about this →
Access Clarity scores 4.3 — up to +19.1 composite points Ask about this →
Developer Ergonomics scores 9.5 — up to +18.1 composite points Ask about this →

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

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Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/lepton-ai/apis.yml: open an issue on github.com/api-evangelist/lepton-ai to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 1

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.

The OpenAI Interface

prose — states compatibility; nothing published to check it against

2 core of 338 operations graded · api-commons/models

APIs 1

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

NVIDIA DGX Cloud Lepton API

Managed AI platform API exposing model endpoints (HTTP server with OpenAI-compatible chat surface), dev sessions with managed GPUs, distributed training jobs, and batch processi...

Lepton AI API pricing

Not yet checked against Lepton AI's own pricing page. Compiled by API Evangelist on 2026-05-08 from www.lepton.ai/; confirm before you rely on a figure.

Plan	Price
To Be Reconciled enterprise	—

Plan details, limits and sources →

Rate limits

Default: see provider documentation varies

Compiled by API Evangelist, not yet checked against Lepton AI's documentation. Rate-limit details →

Pricing Plans 1

Published pricing tiers and plan structures.

Lepton AI Plans Pricing

1 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Lepton AI Rate Limits

1 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Lepton AI Finops

FINOPS

Security Posture 1

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

Lepton AI Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

RateLimits

RateLimits

Commercial 2

Pricing, plans, and the legal terms of use

Plans

Plans

FinOps

FinOps

Company 3

The organization behind the API

LinkedIn

Website

Website

LegacyWebsite

LegacyWebsite

Other 1

Properties that don't map to a standard resource type

ParentCompany

ParentCompany

Source (apis.yml)

aid: lepton-ai
url: https://raw.githubusercontent.com/api-evangelist/lepton-ai/refs/heads/main/apis.yml
name: Lepton AI
kind: company
description: Lepton AI was acquired by NVIDIA in 2025 and the platform is now branded NVIDIA DGX Cloud Lepton. It is a fully
  managed AI platform that connects developers to global GPU compute across a federated network of cloud providers, with managed
  endpoints, dev sessions, distributed training, and batch processing.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: enterprise
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Enterprise
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-13'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/lepton-ai.png
x-docs-platform: swagger-ui
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-03
tags:
- Artificial Intelligence
- Machine Learning
- Inference
- Cloud
- GPU
- NVIDIA
- DGX Cloud
tags_raw:
- AI
- ML
- Inference
- Cloud
- GPU
- NVIDIA
- DGX Cloud
- Machine-Learning
created: '2026-05-08'
modified: '2026-08-21'
specificationVersion: '0.23'
apis:
- aid: lepton-ai:dgx-cloud-lepton
  name: NVIDIA DGX Cloud Lepton API
  description: Managed AI platform API exposing model endpoints (HTTP server with OpenAI-compatible chat surface), dev sessions
    with managed GPUs, distributed training jobs, and batch processing. Endpoints are deployed at unique URLs per workload
    via the Lepton dashboard at dashboard.dgxc-lepton.nvidia.com.
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.nvidia.com/dgx-cloud/lepton/get-started/
  baseURL: https://dashboard.dgxc-lepton.nvidia.com
  tags:
  - Artificial Intelligence
  - Machine Learning
  - Training
  - Batch
  - GPU
  - OpenAI-Compatible
  tags_raw:
  - AI
  - ML
  - Endpoints
  - Training
  - Batch
  - GPU
  - OpenAI Compatible
  - Machine-Learning
  properties:
  - type: Documentation
    url: https://docs.nvidia.com/dgx-cloud/lepton/get-started/
  - type: ProductPage
    url: https://www.nvidia.com/en-us/data-center/dgx-cloud-lepton/
  - type: Examples
    url: https://docs.nvidia.com/dgx-cloud/lepton/examples/
common:
- type: ParentCompany
  url: https://apis.io/providers/nvidia/
  name: Nvidia
  x-relationship: acquisition
  x-generated-by: nvidia-family:2026-08-21
  x-acquired: 2025
- type: DomainSecurity
  url: security/lepton-ai-domain-security.yml
- type: GitHubOrganization
  url: https://github.com/leptonai
- type: LinkedIn
  url: https://www.linkedin.com/company/lepton-ai
- type: Website
  url: https://www.nvidia.com/en-us/data-center/dgx-cloud-lepton/
- type: LegacyWebsite
  url: https://www.lepton.ai/
- type: Documentation
  url: https://docs.nvidia.com/dgx-cloud/lepton/
- type: Plans
  url: plans/lepton-ai-plans-pricing.yml
- type: RateLimits
  url: rate-limits/lepton-ai-rate-limits.yml
- type: FinOps
  url: finops/lepton-ai-finops.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
x-parent: nvidia
x-relationship: acquisition
x-acquired: 2025

Lepton AI API — frequently asked questions

Does Lepton AI have an API?

Yes. APIs.io lists 1 API from Lepton AI, including NVIDIA DGX Cloud Lepton API.

How much does the Lepton AI API cost?

APIs.io lists 1 pricing plan for Lepton AI, with each plan's price, limits and inclusions under Pricing on this page.

Is the Lepton AI API ready for AI agents?

Lepton AI has a Kin Score of 10.0 out of 100 (minimal) and an Agent Readiness score of 1.9 (human-only), scored by API Evangelist on 2026-11-13.

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get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
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