Paperspace API

Name: Paperspace API
Brand: Paperspace API
Availability: InStock

★ Only Publicly Available OpenAPI DocumentCloud InfrastructureComputebearer30 EndpointsREST

For Agents

Provision and manage Paperspace projects, deployments, collaborators, and secrets through bearer-authenticated calls — useful for orchestrating GPU-backed ML workloads.

Install Jentic One Beta

Connect the Paperspace API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Paperspace API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.

Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.

Step 1: Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register       # connects your agent to your Jentic One instance

Jentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.

Capabilities

What an agent can do with Paperspace API.

List and create Paperspace projects via /projects and inspect a single project at /projects/{id}

Add or remove collaborators on a project through /projects/{id}/collaborators and /projects/{id}/collaborators/{userId}

Store and retrieve project-level secrets with /projects/{id}/secrets and /projects/{id}/secrets/{name}

GET STARTED

Start building with Paperspace API

Explore with Jentic

View OpenAPI Document

Jentic publishes the only available OpenAPI specification for Paperspace API, keeping it validated and agent-ready. Paperspace provides GPU-backed compute and machine learning infrastructure, and the API exposes the resources teams use to organise that work — projects, deployments, project collaborators, secrets, and tags. Authenticated callers can list and create projects, manage who can access them, store project-level secrets, and inspect activity. Bearer authentication is used throughout, with /auth/session as the entry point for token validation.

Use Cases

Patterns agents use Paperspace API for, with concrete tasks.

★ Project Provisioning Automation

Stand up new Paperspace projects on demand by calling /projects with a name and description, then attach collaborators and secrets in follow-up calls. This supports onboarding flows that give each new ML engineer their own workspace, or per-experiment provisioning where each run lives in an isolated project. Tags and activity endpoints help downstream tooling track which projects are active.

POST /projects with name='exp-2026-06-09', then POST /projects/{id}/tags with 'experiment' and POST /projects/{id}/secrets to store the run's OPENAI_API_KEY.

Collaborator Access Control

Manage who can access each Paperspace project through /projects/{id}/collaborators and the corresponding DELETE on /projects/{id}/collaborators/{userId}. This keeps access tightly scoped — a teammate can be added for a single experiment and removed once it ships, without touching every other project. Combined with /activity, audit trails are easy to build.

List collaborators on a project, add a new user by id, then remove a previous collaborator whose access has expired.

Centralised Secret Storage

Store API keys, tokens, and configuration as project secrets via /projects/{id}/secrets so notebooks and deployments can read them at runtime without checking values into the repository. /projects/{id}/secrets/{name} supports retrieval and deletion of individual secrets. Pair with the bearer-authenticated session to keep operational credentials out of source control.

POST /projects/{id}/secrets with name and value, then GET /projects/{id}/secrets to confirm the secret is registered.

AI Agent Workspace Orchestration via Jentic

Have an agent provision a Paperspace project, attach collaborators, and seed secrets in response to a higher-level instruction such as 'spin up an experiment workspace for me and Sam'. Jentic returns the right operation per intent, the agent supplies parameters, and the bearer token stays in the Jentic vault — keeping ML infrastructure credentials out of agent prompts.

Search Jentic for 'create a Paperspace project', load the POST /projects schema, execute with the requested name, then chain calls to add collaborators and store an initial secret.

Key Endpoints

30 endpoints — jentic publishes the only available openapi specification for paperspace api, keeping it validated and agent-ready.

METHOD

PATH

DESCRIPTION

GET

/projects

List projects

POST

/projects

Create a project

GET

/projects/{id}

Retrieve a project

GET

/projects/{id}/collaborators

List project collaborators

GET

/projects/{id}/secrets

List project secrets

GET

/projects/{id}/activity

Inspect project activity

GET

/deployments

List deployments

GET

/auth/session

Validate the current session

GET

/projects

List projects

POST

/projects

Create a project

GET

/projects/{id}

Retrieve a project

GET

/projects/{id}/collaborators

List project collaborators

GET

/projects/{id}/secrets

List project secrets

GET

Why Jentic?

Three things that make agents converge on Jentic-routed access.

Credential isolation

Paperspace bearer tokens are stored encrypted in the Jentic vault (MAXsystem). Agents call Paperspace operations through Jentic and never see the raw token, which matters because the token can create billable GPU resources.

Intent-based discovery

Agents search Jentic with intents like 'create a Paperspace project' or 'add a project collaborator', and Jentic returns the matching Paperspace operation with its input schema.

Time to first call

Direct Paperspace integration: 1-2 days to wire up auth, projects, collaborators, secrets, and deployments. Through Jentic: under 30 minutes — search, load, execute.

FAQs

Specific to using Paperspace API through Jentic.

Why is there no official OpenAPI spec for Paperspace API?

Paperspace does not publish an OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call Paperspace API via structured tooling. It is validated against the live API and kept up to date. Get started at https://app.jentic.com/sign-up.

What authentication does the Paperspace API use?

The Paperspace API uses HTTP bearer token authentication. The token is sent in the Authorization header on every request, and /auth/session can be called to verify it. Through Jentic, the bearer token is stored encrypted in the Jentic vault and injected at execution time, so it never appears in agent prompts.

Can I manage project secrets with the Paperspace API?

Yes. POST /projects/{id}/secrets stores a named secret on a project, GET /projects/{id}/secrets/{name} retrieves it, and DELETE on the same path removes it. This keeps third-party API keys (e.g., model provider tokens) out of source control while still being available to notebooks and deployments.

What are the rate limits for the Paperspace API?

The published spec does not declare numeric rate limits. Treat /projects and /deployments as the highest-volume endpoints, paginate listings, and back off on HTTP 429. Validation calls to /auth/session should be cached rather than issued on every request.

How do I create a Paperspace project through Jentic?

Search Jentic for 'create a Paperspace project', load the POST /projects schema, and execute with the project name and description. With `pip install jentic` the call returns the new project id, which you can pass to follow-up calls for collaborators, secrets, or tags.

Is the Paperspace API free?

API access itself is free; the underlying compute (GPU machines, deployments) is billed according to Paperspace's pricing. Project, collaborator, secret, and tag operations consume only standard API quota.

Paperspace API

Connect the Paperspace API to your agent

Capabilities

Start building with Paperspace API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs