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Daytona

Daytona is open-source, secure, and elastic infrastructure for running AI-generated code. Daytona sandboxes spin up in under 90 milliseconds and provide isolated Linux, Windows, and macOS environments where autonomous agents and developer workflows can execute untrusted code, perform file system and Git operations, run language servers, drive virtual desktops, and persist state via snapshots and volumes. The platform exposes a control-plane REST API (sandboxes, snapshots, volumes, organizations, runners, webhooks) and an in-sandbox Toolbox API (file system, Git, LSP, process execution, PTY, computer use, interpreter), with official SDKs for TypeScript, Python, Ruby, Go, and Java, plus a Go CLI and Homebrew/Windows installers.

agent ready

Reference-quality API operations across every facet — a rich contract, published governance, transparent operations, and machine-readable commercial terms.

Kin Score

API Evangelist profiles Daytona the way a machine reads it — 124 machine-readable artifacts across 28 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.

Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Daytona scores 74.1/100 (exemplar), with a separate agent-readiness read of 48/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 74.1/100 · exemplar
Contract Quality 17.1 / 25
Developer Ergonomics 17.0 / 20
Commercial Clarity 16.3 / 20
Operational Transparency 4.1 / 13
Governance 10.4 / 12
Discoverability 9.3 / 10
Agent readiness — 48/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 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 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile Daytona

Each block below is one kind of artifact we hold for Daytona. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

APIs 28

Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.

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

Daytona admin API

The admin API from Daytona — 15 operation(s) for admin.

Daytona api-keys API

The api-keys API from Daytona — 4 operation(s) for api-keys.

Daytona audit API

The audit API from Daytona — 1 operation(s) for audit.

Daytona computer-use API

The computer-use API from Daytona — 32 operation(s) for computer-use.

Daytona config API

The config API from Daytona — 1 operation(s) for config.

Daytona docker-registry API

The docker-registry API from Daytona — 3 operation(s) for docker-registry.

Daytona file-system API

The file-system API from Daytona — 12 operation(s) for file-system.

Daytona git API

The git API from Daytona — 9 operation(s) for git.

Daytona Health API

The Health API from Daytona — 2 operation(s) for health.

Daytona info API

The info API from Daytona — 3 operation(s) for info.

Daytona interpreter API

The interpreter API from Daytona — 3 operation(s) for interpreter.

Daytona jobs API

The jobs API from Daytona — 4 operation(s) for jobs.

Daytona lsp API

The lsp API from Daytona — 7 operation(s) for lsp.

Daytona object-storage API

The object-storage API from Daytona — 1 operation(s) for object-storage.

Daytona organizations API

The organizations API from Daytona — 30 operation(s) for organizations.

Daytona port API

The port API from Daytona — 2 operation(s) for port.

Daytona preview API

The preview API from Daytona — 4 operation(s) for preview.

Daytona process API

The process API from Daytona — 14 operation(s) for process.

Daytona regions API

The regions API from Daytona — 1 operation(s) for regions.

Daytona runners API

The runners API from Daytona — 9 operation(s) for runners.

Daytona sandbox API

The sandbox API from Daytona — 37 operation(s) for sandbox.

Daytona server API

The server API from Daytona — 1 operation(s) for server.

Daytona snapshots API

The snapshots API from Daytona — 6 operation(s) for snapshots.

Daytona toolbox API

The toolbox API from Daytona — 61 operation(s) for toolbox.

Daytona users API

The users API from Daytona — 5 operation(s) for users.

Daytona volumes API

The volumes API from Daytona — 3 operation(s) for volumes.

Daytona webhooks API

The webhooks API from Daytona — 3 operation(s) for webhooks.

Daytona workspace API

The workspace API from Daytona — 12 operation(s) for workspace.

Scroll within the panel for all 28 ·

Postman Collections 12

A runnable collection turns the contract into something a developer can execute in seconds. We profile them because the fastest way to trust an API is to make a real call against it.

Ready-to-run Postman collections for exercising this provider's APIs.

Scroll within the panel for all 12 ·

Open Collections 11

Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.

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

Daytona Admin API

OPEN COLLECTION

Daytona Api Keys API

OPEN COLLECTION

Daytona Health API

OPEN COLLECTION

Daytona Organizations API

OPEN COLLECTION

Daytona Sandbox API

OPEN COLLECTION

Daytona Snapshots API

OPEN COLLECTION

Daytona Toolbox API

OPEN COLLECTION

Daytona Users API

OPEN COLLECTION

Daytona Volumes API

OPEN COLLECTION

Daytona Webhooks API

OPEN COLLECTION

Scroll within the panel for all 11 ·

Arazzo Workflows 8

Real integrations are rarely a single call. Arazzo describes the multi-step sequences — auth, then create, then confirm — so both a human and an agent can follow the choreography, not just the endpoints.

Multi-step API workflows described with the Arazzo specification.

Daytona Build and Activate a Snapshot

Register a snapshot from a container image, poll until it builds, and activate it if it lands inactive.

ARAZZO

Daytona Capture a Sandbox as a Snapshot

Snapshot a live sandbox into a reusable image and wait for the sandbox to return to running.

ARAZZO

Daytona Fork a Sandbox

Fork an existing sandbox into a new independent copy and wait until the fork is running.

ARAZZO

Daytona From Container Image to Running Sandbox

Build a snapshot from an image, wait for it to build, then launch and run a sandbox from it.

ARAZZO

Daytona Provision a Sandbox

Create a sandbox from a snapshot, poll until it reaches the started state, then read its details.

ARAZZO

Daytona Provision a Volume and Attach It to a New Sandbox

Create a persistent volume, wait until it is ready, then launch a sandbox with the volume mounted.

ARAZZO

Daytona Restore an Archived Sandbox

Start an archived or stopped sandbox and wait until it is running again.

ARAZZO

Daytona Stop and Archive a Sandbox

Stop a running sandbox, wait until it is fully stopped, then archive it to cold storage.

ARAZZO

Scroll within the panel for all 8 ·

Pricing Plans 1

Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.

Published pricing tiers and plan structures.

Rate Limits 1

Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.

Documented rate limits and quota policies.

Daytona Io Rate Limits

0 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.

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

Features 10

The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.

Notable capabilities this provider offers.

Sub-90ms cold start

Sandboxes boot in under 90 milliseconds, enabling per-request isolation for agents at scale.

Massive parallelism

Spin up thousands of concurrent sandboxes for parallel agent runs, evaluation harnesses, and batch code execution.

Snapshots and volumes

Persist file system, process, and environment state via snapshots, and share data across sandboxes via volumes.

Computer Use desktops

Programmatically drive Linux, Windows, and macOS GUI desktops via a built-in computer-use API for agent control.

Multi-language runtimes

Native support for Python, TypeScript, Ruby, Go, and Java with built-in package management.

Built-in LSP and Git

Language Server Protocol bridging and Git operations are first-class agent tools, not bolted-on shell calls.

Open-source core

The Daytona platform is AGPL-3.0 open source and self-hostable on Kubernetes via official Helm charts.

Customer-managed compute

Run the Daytona control plane against your own compute pools for data-residency and cost control.

SSH and VS Code Browser

Humans can drop into any sandbox via SSH, web terminal, VNC, or VS Code Browser for debugging.

Webhooks and OpenTelemetry

Subscribe to sandbox lifecycle events and emit OpenTelemetry traces for observability.

Scroll within the panel for all 10 ·

Semantic Vocabularies 1

JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.

JSON-LD contexts and semantic vocabularies used across these APIs.

Daytona Io Context

30 classes · 10 properties

JSON-LD

Spectral Rules 2

Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.

Daytona API Rules

5 rules · 3 warnings

SPECTRAL

Daytona API Rules

10 rules · 6 errors · 4 warnings

SPECTRAL

JSON Schema 7

Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.

Standalone JSON Schema definitions for this provider's data models.

ApiKeyResponse

5 properties

JSON SCHEMA

Organization

25 properties

JSON SCHEMA

Sandbox

33 properties

JSON SCHEMA

SnapshotDto

20 properties

JSON SCHEMA

User

5 properties

JSON SCHEMA

VolumeDto

8 properties

JSON SCHEMA

WebhookEvent

0 properties

JSON SCHEMA

Scroll within the panel for all 7 ·

JSON Structure 7

JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.

JSON Structure definitions describing this provider's data shapes.

Daytona Api Key Structure

5 properties

JSON STRUCTURE

Daytona Organization Structure

25 properties

JSON STRUCTURE

Daytona Sandbox Structure

33 properties

JSON STRUCTURE

Daytona Snapshot Structure

20 properties

JSON STRUCTURE

Daytona User Structure

5 properties

JSON STRUCTURE

Daytona Volume Structure

8 properties

JSON STRUCTURE

Daytona Webhook Structure

0 properties

JSON STRUCTURE

Scroll within the panel for all 7 ·

Examples 7

Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.

Example request and response payloads for these APIs.

Scroll within the panel for all 7 ·

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

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

Daytona Io Authentication

http/openIdConnect · 2 schemes

SECURITY

Daytona Io Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Daytona Io Trust Center

SOC 2, ISO 27001, HIPAA, GDPR

SECURITY

Agentic Access 1

An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.

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

Daytona Io Agentic Access

330 operations · 180 acting · 12 human-in-the-loop

330 operations · 180 acting

AGENTIC

Use Cases 7

What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.

What developers build with this provider.

AI coding agents

Give every agent its own isolated computer to run, test, and iterate on generated code safely.

Code interpreter for LLM apps

Back chatbot code-execution features (Python interpreter, data analysis, plotting) with disposable sandboxes.

Computer-use agents

Drive headless and headed Linux/Windows/macOS desktops for browser automation and GUI-driven workflows.

Evaluation harnesses

Run SWE-bench-style benchmarks and agent evaluations in massively parallel sandboxes with reproducible state.

CI for AI-generated code

Execute untrusted PRs from autonomous agents in isolated environments without risking host infrastructure.

Hosted developer environments

Provide cloud dev environments for engineers with persistent volumes, snapshots, and SSH/VS Code access.

Sandboxed data analysis

Run user-uploaded notebooks and scripts safely with built-in Python and TypeScript interpreters.

Scroll within the panel for all 7 ·

Integrations 13

Pre-built integrations with other platforms tell you where this provider already fits in a stack.

Pre-built integrations with other platforms and tools.

LangChain

Daytona is integrated as a code execution tool in the LangChain ecosystem.

Anthropic Claude Managed Agents

Daytona is supported as a sandbox host for Anthropic Claude Managed Agents.

Google ADK

Daytona plugin for Google's Agent Development Kit enables ADK agents to run code in Daytona sandboxes.

Inngest AgentKit

Coding agent reference powered by Daytona using Inngest AgentKit.

VibeKit

Run Codex, Gemini CLI, and Claude Code in Daytona sandboxes via VibeKit.

Stripe Projects

Daytona sandboxes are available through Stripe Projects.

OpenHands

OpenHands open-source agent runtime uses Daytona for sandboxed code execution.

SWE-ReX

Sandboxed code execution backend for SWE-agent powered in part by Daytona.

Kubernetes

Self-host the Daytona control plane on Kubernetes via official Helm charts.

Terraform

Provision Daytona infrastructure using official Terraform modules.

MCP

Daytona exposes an MCP server so MCP-compatible agents and IDEs can invoke sandbox tools natively.

VS Code

Connect to a running sandbox from VS Code via the VS Code Browser, SSH, or official extension.

JetBrains

Connect to a running sandbox from JetBrains IDEs via the official JetBrains plugin.

Scroll within the panel for all 13 ·

Solutions 4

Packaged solutions the provider offers on top of the raw API surface.

Packaged solutions this provider offers.

Daytona Cloud

Fully managed sandbox infrastructure at app.daytona.io with pay-as-you-go pricing and $200 free credit.

Customer-Managed Compute

Run Daytona's managed control plane against your own VPC/Kubernetes compute for residency and cost control.

Self-Hosted Open Source

Deploy the full Daytona platform on your own Kubernetes via Helm for fully air-gapped deployments.

Startups Program

Up to $50k in free Daytona compute credits for qualifying startups building agent infrastructure.

Resources

Every other property we hold for Daytona — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Learn 1

Tutorials, courses, talks, and written guidance

Company 3

The organization behind the API

Other 4

Properties that don't map to a standard resource type

← All providers · Data indexed from github.com/api-evangelist/daytona-io · machine-readable index on apis.io