JarvisLabs

JarvisLabs.ai is a GPU cloud for AI development that lets you launch on-demand GPU and CPU instances (H100, H200, A100, RTX Pro 6000, A6000, A5000, L4, A30) from the terminal. Its Python SDK (jarvislabs / legacy jlclient) and jl CLI wrap an API for the full instance lifecycle - create, pause, resume, and destroy - plus GPU type discovery, framework templates, persistent filesystems, and managed runs for training and inference workloads, billed per minute of compute.

JarvisLabs publishes 5 API contracts indexed on the APIs.io network, including Account API, Filesystems API, GPU Types API, and 2 more. Tagged areas include Artificial Intelligence, GPU, Cloud, Infrastructure, and Compute.

The JarvisLabs catalog on APIs.io includes 1 Spectral governance ruleset.

JarvisLabs’ developer surface includes engineering blog, pricing, authentication, documentation, and 9 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

34.4/100 thin ▬ flat Agent 19/100 agent aware Front door AI 6/6 dominant Heartbeat 77/100 alive saas Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessPaid

1 published contract

Artificial Intelligence GPU Cloud Infrastructure Compute

What this lets a business do 1

Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →

Information Technology Management

BC-600

FilesystemsInstances

POST /instances DELETE /instances/{machine_id} POST /instances/{machine_id}/pause POST /filesystems

Kin Score

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

Composite quality — 34.4/100 · thin

Contract Quality 10.1 / 19

Developer Ergonomics 4.8 / 15

Access Clarity 5.1 / 15

Operational Transparency 1.2 / 10

Contract Governance 1.2 / 9

Discoverability 5.0 / 8

Regulatory Posture 0.8 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 19/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

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 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 0 / 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 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/jarvislabs/"><img src="https://apis.io/badge/jarvislabs/card.svg" alt="JarvisLabs on APIs.io — Kin Score by API Evangelist"></a>

Other styles, a README pill and a shields.io endpoint are on the badge page.

Raise your score.

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

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 →
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 →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link Ask about this →
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document Ask about this →

10 more unmet checks in the Agent Readiness table above.

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

Developer Ergonomics scores 32.1 — up to +13.6 composite points Ask about this →
Access Clarity scores 34.0 — up to +13.2 composite points Ask about this →
Operational Transparency scores 11.9 — up to +11.5 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.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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/jarvislabs/apis.yml: open an issue on github.com/api-evangelist/jarvislabs 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.

OpenAPI

measured — observed by APIs.io (published)

APIs 5

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

JarvisLabs Account API

Account balance and status.

JarvisLabs Filesystems API

Persistent storage volumes.

JarvisLabs GPU Types API

GPU type discovery, availability, and pricing.

JarvisLabs Instances API

GPU and CPU instance lifecycle.

JarvisLabs Templates API

Framework templates available for provisioning.

Open Collections 6

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

JarvisLabs Account API

OPEN COLLECTION

JarvisLabs Account Filesystems API

OPEN COLLECTION

JarvisLabs Account GPU Types API

OPEN COLLECTION

JarvisLabs Account Instances API

OPEN COLLECTION

JarvisLabs Account Templates API

OPEN COLLECTION

JarvisLabs API

OPEN COLLECTION

JarvisLabs API pricing

Prices published by JarvisLabs, read 2026-09-20 from jarvislabs.ai/pricing. A free plan or tier is listed.

Plan	Price
NVIDIA H200 SXM (on-demand)	$3.99 per GPU per hour Includes: 141 GB VRAM · 300 GB RAM · 28 vCPU
NVIDIA H100 SXM (on-demand)	$2.69 per GPU per hour Includes: 80 GB VRAM · 200 GB RAM · 16 vCPU
NVIDIA RTX Pro 6000 Blackwell (on-demand)	$1.89 per GPU per hour Includes: 96 GB VRAM · 160 GB RAM · 28 vCPU
NVIDIA A100 80GB (on-demand)	$1.49 per GPU per hour Includes: 80 GB VRAM · 112 GB RAM · 16 vCPU
NVIDIA A100 40GB (on-demand)	$0.89 per GPU per hour Includes: 40 GB VRAM · 112 GB RAM · 16 vCPU
NVIDIA A30 (on-demand)	$0.41 per GPU per hour Includes: 24 GB VRAM · 112 GB RAM · 16 vCPU
NVIDIA L4 (on-demand)	$0.44 per GPU per hour Includes: 24 GB VRAM · 124 GB RAM · 32 vCPU
CPU VM 2 vCPU · 8 GB	$0.05 Includes: 2 vCPU, 8 GB RAM

All 15 plans, limits and sources →

Rate limits

Concurrent Instances: see provider dashboard instances
GPUs Per Instance: 8 gpus
GPU Availability: real-time gpus

Compiled by API Evangelist, not yet checked against JarvisLabs's documentation. All 4 limits →

Pricing Plans 1

Published pricing tiers and plan structures.

JarvisLabs Plans Pricing

15 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

JarvisLabs Rate Limits

4 limits

RATE LIMITS

FinOps 1

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

JarvisLabs Finops

FINOPS

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs. Counts are the severity each rule declares, not results of running them.

JarvisLabs API Rules

60 rules · 58 error-severity 1 warn-severity 1 info-severity

SPECTRAL

Security Posture 2

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

JarvisLabs Authentication

apiKey · 1 scheme

SECURITY

JarvisLabs Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Access (API Evangelist recommendations) 1

Recommended x-agentic-access execution contracts for AI agents.

JarvisLabs Agentic Access

13 operations · 7 acting

AGENTIC

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 1

Status, limits, changes, and where to get help

RateLimits

RateLimits

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

Plans

Plans

FinOps

FinOps

Company 3

The organization behind the API

Blog

Blog

LinkedIn

Website

Website

Other 1

Properties that don't map to a standard resource type

CapabilityMap

CapabilityMap

Source (apis.yml)

aid: jarvislabs
url: https://raw.githubusercontent.com/api-evangelist/jarvislabs/refs/heads/main/apis.yml
name: JarvisLabs
kind: company
description: JarvisLabs.ai is a GPU cloud for AI development that lets you launch on-demand GPU and CPU instances (H100, H200,
  A100, RTX Pro 6000, A6000, A5000, L4, A30) from the terminal. Its Python SDK (jarvislabs / legacy jlclient) and jl CLI wrap
  an API for the full instance lifecycle - create, pause, resume, and destroy - plus GPU type discovery, framework templates,
  persistent filesystems, and managed runs for training and inference workloads, billed per minute of compute.
deliveryModel:
  model: saas
  license_evidence:
    not_product:
    - jarvislabsai/jlclient
  open_source: unknown
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: low
  source:
  - openapi
  - pricing
  - repository-not-product
  generated: '2026-09-25'
  method: derived
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-13'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/jarvislabs.png
x-docs-platform: docusaurus
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-03
x-docs-hosting: vercel
tags:
- Artificial Intelligence
- GPU
- Cloud
- Infrastructure
- Compute
tags_raw:
- AI
- GPU
- Cloud
- Infrastructure
- Compute
created: '2026-06-21'
modified: '2026-10-06'
specificationVersion: '0.23'
apis:
- aid: jarvislabs:jarvislabs-account-api
  name: JarvisLabs Account API
  description: Account balance and status.
  humanURL: https://docs.jarvislabs.ai/api
  baseURL: https://api.jarvislabs.ai/v1
  tags:
  - Account
  properties:
  - type: OpenAPI
    url: openapi/jarvislabs-account-api-openapi.yml
  - type: Documentation
    url: https://docs.jarvislabs.ai/api
  - type: APIReference
    url: https://docs.jarvislabs.ai/cli
  - type: PostmanCollection
    url: collections/jarvislabs.postman_collection.json
  - type: OpenCollection
    url: collections/jarvislabs.opencollection.json
  - type: GitHub
    url: https://github.com/jarvislabsai/JLClient
  - type: Documentation
    url: https://docs.jarvislabs.ai/cli
  - type: APIReference
    url: https://docs.jarvislabs.ai/api
  - type: Documentation
    url: https://docs.jarvislabs.ai/
  - type: Documentation
    url: https://jarvislabs.ai/sdk
- aid: jarvislabs:jarvislabs-filesystems-api
  name: JarvisLabs Filesystems API
  description: Persistent storage volumes.
  humanURL: https://docs.jarvislabs.ai/api
  baseURL: https://api.jarvislabs.ai/v1
  tags:
  - Filesystem
  tags_raw:
  - Filesystems
  properties:
  - type: OpenAPI
    url: openapi/jarvislabs-filesystems-api-openapi.yml
  - type: Documentation
    url: https://docs.jarvislabs.ai/api
  - type: APIReference
    url: https://docs.jarvislabs.ai/cli
  - type: PostmanCollection
    url: collections/jarvislabs.postman_collection.json
  - type: OpenCollection
    url: collections/jarvislabs.opencollection.json
  - type: GitHub
    url: https://github.com/jarvislabsai/JLClient
  - type: Documentation
    url: https://docs.jarvislabs.ai/cli
  - type: APIReference
    url: https://docs.jarvislabs.ai/api
  - type: Documentation
    url: https://docs.jarvislabs.ai/
  - type: Documentation
    url: https://jarvislabs.ai/sdk
- aid: jarvislabs:jarvislabs-gpu-types-api
  name: JarvisLabs GPU Types API
  description: GPU type discovery, availability, and pricing.
  humanURL: https://docs.jarvislabs.ai/api
  baseURL: https://api.jarvislabs.ai/v1
  tags:
  - GPU Types
  properties:
  - type: OpenAPI
    url: openapi/jarvislabs-gpu-types-api-openapi.yml
  - type: Documentation
    url: https://docs.jarvislabs.ai/api
  - type: APIReference
    url: https://docs.jarvislabs.ai/cli
  - type: PostmanCollection
    url: collections/jarvislabs.postman_collection.json
  - type: OpenCollection
    url: collections/jarvislabs.opencollection.json
  - type: GitHub
    url: https://github.com/jarvislabsai/JLClient
  - type: Documentation
    url: https://docs.jarvislabs.ai/cli
  - type: APIReference
    url: https://docs.jarvislabs.ai/api
  - type: Documentation
    url: https://docs.jarvislabs.ai/
  - type: Documentation
    url: https://jarvislabs.ai/sdk
- aid: jarvislabs:jarvislabs-instances-api
  name: JarvisLabs Instances API
  description: GPU and CPU instance lifecycle.
  humanURL: https://docs.jarvislabs.ai/api
  baseURL: https://api.jarvislabs.ai/v1
  tags:
  - Instances
  properties:
  - type: OpenAPI
    url: openapi/jarvislabs-instances-api-openapi.yml
  - type: Documentation
    url: https://docs.jarvislabs.ai/api
  - type: APIReference
    url: https://docs.jarvislabs.ai/cli
  - type: PostmanCollection
    url: collections/jarvislabs.postman_collection.json
  - type: OpenCollection
    url: collections/jarvislabs.opencollection.json
  - type: GitHub
    url: https://github.com/jarvislabsai/JLClient
  - type: Documentation
    url: https://docs.jarvislabs.ai/cli
  - type: APIReference
    url: https://docs.jarvislabs.ai/api
  - type: Documentation
    url: https://docs.jarvislabs.ai/
  - type: Documentation
    url: https://jarvislabs.ai/sdk
- aid: jarvislabs:jarvislabs-templates-api
  name: JarvisLabs Templates API
  description: Framework templates available for provisioning.
  humanURL: https://docs.jarvislabs.ai/api
  baseURL: https://api.jarvislabs.ai/v1
  tags:
  - Templates
  properties:
  - type: OpenAPI
    url: openapi/jarvislabs-templates-api-openapi.yml
  - type: Documentation
    url: https://docs.jarvislabs.ai/api
  - type: APIReference
    url: https://docs.jarvislabs.ai/cli
  - type: PostmanCollection
    url: collections/jarvislabs.postman_collection.json
  - type: OpenCollection
    url: collections/jarvislabs.opencollection.json
  - type: GitHub
    url: https://github.com/jarvislabsai/JLClient
  - type: Documentation
    url: https://docs.jarvislabs.ai/cli
  - type: APIReference
    url: https://docs.jarvislabs.ai/api
  - type: Documentation
    url: https://docs.jarvislabs.ai/
  - type: Documentation
    url: https://jarvislabs.ai/sdk
common:
- url: https://jarvislabs.ai/updates
  type: Blog
- type: Pricing
  url: https://jarvislabs.ai/pricing
- type: CapabilityMap
  url: capabilities/jarvislabs-capability-edges.yml
  name: JarvisLabs Business Capability Map
- type: AgenticAccess
  url: agentic-access/jarvislabs-agentic-access.yml
- type: DomainSecurity
  url: security/jarvislabs-domain-security.yml
- type: Authentication
  url: authentication/jarvislabs-authentication.yml
- type: GitHubOrganization
  url: https://github.com/jarvislabsai
- type: LinkedIn
  url: https://www.linkedin.com/company/jarvislabs-ai
- type: Website
  url: https://jarvislabs.ai
- type: Documentation
  url: https://docs.jarvislabs.ai
- type: Plans
  url: plans/jarvislabs-plans-pricing.yml
- type: RateLimits
  url: rate-limits/jarvislabs-rate-limits.yml
- type: FinOps
  url: finops/jarvislabs-finops.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

JarvisLabs API — frequently asked questions

Does JarvisLabs have an API?

Yes. APIs.io lists 5 APIs from JarvisLabs, including JarvisLabs Account API, JarvisLabs Filesystems API and JarvisLabs GPU Types API, and 2 more.

Is there an OpenAPI specification for the JarvisLabs API?

Yes. APIs.io indexes 5 OpenAPI specifications for JarvisLabs, each linked for download from this page.

How do I authenticate with the JarvisLabs API?

JarvisLabs uses bearer-token authentication (apiKey · 1 scheme). The details are profiled on APIs.io as JarvisLabs Authentication.

How much does the JarvisLabs API cost?

JarvisLabs publishes its prices; its NVIDIA H200 SXM (on-demand) plan is $3.99 per GPU per hour as of 2026-09-20. APIs.io lists 15 pricing plans for JarvisLabs, with each plan's price, limits and inclusions under Pricing on this page.

Is the JarvisLabs API ready for AI agents?

JarvisLabs has a Kin Score of 34.4 out of 100 (thin) and an Agent Readiness score of 19.0 (agent-aware), scored by API Evangelist on 2026-11-13.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
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.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

All 92 tools →

Call it yourself

curl for this page

This provider

curl "https://apis.io/api/v1/providers/jarvislabs"

All providers

curl "https://apis.io/api/v1/providers?limit=25"

Every operation they expose

curl "https://apis.io/api/v1/providers/jarvislabs/operations?limit=25"

How their score was established

curl "https://apis.io/api/v1/providers/jarvislabs/evidence"

Calls without X-API-Key need no key. Calls with it need a paid plan — get a key.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have.