⚡Stack Radar

Agent Sandboxes · Reviewed 24 Oct 2026

E2B

Cloud infrastructure providing secure, instant-on machines for AI agents.

from $150 · free tier · e2b.dev ↗

Paid against free › Agent Sandboxes › E2B

186.6KEstimated total trafficModeled monthly visits190Ranking keywordsPublic search sample98/100Technical health15 pages checked4.5KReferring domainsLive backlink summary

Overview

01

Summary

The useful answer before the supporting detail.

E2B provides AI agents with secure, instant-on machines and real-world tools S1. It is used by developers building coding agents, computer-use agents, and background jobs S35. It solves the problem of agents lacking a purpose-built runtime by providing isolated microVMs and a unified API S1 S35.

02

Product identity and positioning

Name, category, positioning, audience, and first-party claims.

  • Identity: E2B is a cloud platform providing secure, instant-on virtual machines (sandboxes) for AI agents S1.
  • Core purpose: E2B builds the cloud layer for AI agents, who cannot efficiently use tools designed for human developers S1.
  • Intended users: Developers building AI agents, from startups to large enterprises S35.
  • Product scope: A single platform offering agent sandboxes, SDKs, and management tools S1.
  • Positioning: E2B positions itself as the runtime behind every serious agent S1.
  • Claimed distinction: E2B provides a self-improving cloud that morphs to workload demands and runs with any LLM S1.
03

Use cases and audiences

Who the product serves and the jobs it is designed to handle.

AudiencePractical use case
AI agent platformsRun general-purpose AI agents for millions of users, like Genspark S91 S94.
Insurance technologyRun secure multi-agent workflows for actuarial modeling and compliance S92.
Productivity softwareExecute AI code on sensitive workspace data with per-session isolation S128.
Engineering teamsPower fleets of cloud coding agents to cut customer latency S91.
AI evaluation platformsRun 600,000 sandboxes a day for frontier AI model testing S141.

Features

09

Features and capabilities

Core functions and evidence-backed product capabilities.

CapabilityWhat it does
Sandbox creationCreate isolated microVMs (sandboxes) for agents to run code, via CLI or SDK S35.
Dynamic scalingSandboxes morph to workload: more CPU when needed, gone when not S1.
LLM integrationRun any agent with any LLM (OpenAI Agents SDK, AI modelCode, Codex) S35.
SnapshotsCreate snapshots to boot sandboxes from a saved state for fast resumption S91.
TemplatesUse E2B Templates to give projects preconfigured starting environments S140.
BYOCDeploy E2B in your own AWS, GCP, or Azure account for isolation and compliance S35.
OpenTelemetry ExportExport telemetry via OpenTelemetry for self-hosted setups S97.
10

Integrations and ecosystem

Connected products, exports, APIs, and workflow compatibility.

Integration or interfaceTypeWhat it enables
OpenAI Agents SDKIntegrationRun agents built with the OpenAI Agents SDK on E2B sandboxes S97.
AI modelCodeIntegrationRun AI modelCode agents on E2B sandboxes S35.
CodexIntegrationRun OpenAI Codex agents on E2B sandboxes S35.
Cursor Self-Hosted MachinesIntegrationConnect Cursor's self-hosted environments to E2B sandboxes S97.
Python SDKSDKInteract with E2B via PyPI S1.
JavaScript SDKSDKInteract with E2B via npm S1.
CLIAPICreate, manage, and fork sandboxes from the command line S35 S97.
Bring Your Own ProxyIntegrationRoute sandbox egress through your own SOCKS5 proxy S97.

Pricing

11

Pricing and plans

Published plans, free access, trials, credits, and pricing limitations.

Plan or offerVerified price and billingIncludedLimits
HobbyFree; usage per second S87One-time $100 usage credit S87Sessions up to 1 hour; 20 concurrent sandboxes; default CPU and RAM S87
Pro$150/month plus usage S87Usage billed per second ($0.000014/vCPU-s, $0.0000045/GiB-s) S87Sessions up to 24 hours; 100 concurrent sandboxes (expandable to 1,100 with +$500 or +$1,000/mo) S87
EnterpriseCustom; $3,000/mo usage minimum S87Committed usage, custom billing S87Multi-day sessions; tens of thousands of concurrent sandboxes; BYOC deployment S87

Competition

12

Competitive landscape

Domains competing for the same organic search demand.

Sampled competitors

CompetitorFirst-page appearancesSampled queriesAverage positionQueries observed
youtube.com325.7e2b, e2b sandbox
github.com223.5e2b, e2b sandbox
aiidelist.com227.5e2b, e2b sandbox
reddit.com111e2b
openkruise.io111e2b sandbox
adasci.org112e2b sandbox
crunchbase.com113e2b
tencentcloud.com113e2b sandbox
ai.engineer114e2b sandbox
medium.com115e2b

Website intelligence — Collected evidence

Customers, testimonials, and first-party review claims

Page typeEvidenceSource
customers[Skip to main content](#main-content)https://e2b.dev/customers
customersProduction agents run on E2Bhttps://e2b.dev/customers
customersHow teams run AI agents in production, in their own words. Fortune 100 companies, hypergrowth AI startups, and top AI labs.https://e2b.dev/customers
customersBoots from a snapshot. No cold start.https://e2b.dev/customers
customersA 30-step agent run can't start with a 60-second cold start.https://e2b.dev/customers
customershttps://e2b.dev/customers
customersTens of thousands of concurrent sandboxes.https://e2b.dev/customers
customersE2B offers the flexibility to scale in production that is tough to match.https://e2b.dev/customers
customershttps://e2b.dev/customers
customersOne microVM per session.https://e2b.dev/customers
customersThey're secure by default, highly capable, and very performant.https://e2b.dev/customers
customershttps://e2b.dev/customers
customerstime to shiphttps://e2b.dev/customers
customersLive in a week, with one engineer.https://e2b.dev/customers
customersIt took 2 hours to get E2B up and running.https://e2b.dev/customers
customershttps://e2b.dev/customers
customersvideo · 2 minhttps://e2b.dev/customers
customers10,000 to 15,000 concurrent sandboxes. How Rogo delivers AI to financial institutions with Claude Managed Agents and E2B.https://e2b.dev/customers
customersWe work with clients from hundreds of financial firms, so per-session isolation is a hard requirement.https://e2b.dev/customers
customersAlex Wang — Applied AI, Rogohttps://e2b.dev/customers

Independent review sources discovered

No links to supported independent review platforms were discovered on the collected pages.

14

AI visibility

Measured ChatGPT and Google AI mentions with cited sources.

AI-assistant referral traffic

  • Estimated current generative-AI referral share: 1.5%
MonthSource
—All AI assistants

Website intelligence — Collected evidence

Site-stated AI capabilities

Page typeEvidenceSource
otherThe AI Agent Cloud. An isolated machine for every AI agent: run code, browse, use tools, pause, fork. In our cloud or your AWS, GCP, or Azure account. 100K+ teams, 2B+ sandboxes started.https://e2b.dev/
other100K+ teams on E2B · 94 of the Fortune 100 signed up · top AI labs & the fastest AI startups run herehttps://e2b.dev/
otherLindyhttps://e2b.dev/
otherGroqhttps://e2b.dev/
otherLMArenahttps://e2b.dev/
featuresAI agents can now provision and authenticate E2B sandboxes directly through Stripe Projects.https://e2b.dev/product-updates
integrationsLark solves a new type of problem in the industry: AI coding agents write code faster than anyone can verify it works. Lark is an AI test engineer. It maps out a customer's product and workflows, writes a full suite of end-to-end tests, and keeps running them as the product changes. Customers run hundreds of these tests at once, and the load is spiky by nature: when a wave of pull requests merges at the same time, test volume spikes with it. Each test runs in its own sandbox against the customer's application, sometimes even with real customer data and credentials in play.https://e2b.dev/customers/lark-case-study
integrationsAs AI coding agents write more code, more of it will need to be continuously tested. Lark expects both its customer base and sandbox usage to grow, including among larger organizations with stringent data and security requirements. As it scales, the team plans to continue relying on E2B as its tried-and-true infrastructure for testing agents.https://e2b.dev/customers/lark-case-study
integrations[](https://www.perplexity.ai/search?q=Summarize%20this%20article%20for%20me%20https%3A%2F%2Fe2b.dev%2Fcustomers%2Flark-case-study%20E2B%20-%20How%20Lark%20Uses%20E2B%20to%20Safely%20Test%20Apps%20with%20Customer%20Data)[](https://claude.ai/new?q=Summarize%20this%20article%20for%20me%20https%3A%2F%2Fe2b.dev%2Fcustomers%2Flark-case-study%20E2B%20-%20How%20Lark%20Uses%20E2B%20to%20Safely%20Test%20Apps%20with%20Customer%20Data)[](https://chatgpt.com/?q=Summarize%20this%20article%20for%20me%20https%3A%2F%2Fe2b.dev%2Fcustomers%2Flark-case-study%20E2B%20-%20How%20Lark%20Uses%20E2B%20to%20Safely%20Test%20Apps%20with%20Customer%20Data)https://e2b.dev/customers/lark-case-study
customersHow teams run AI agents in production, in their own words. Fortune 100 companies, hypergrowth AI startups, and top AI labs.https://e2b.dev/customers
customershttps://e2b.dev/customers
customers10,000 to 15,000 concurrent sandboxes. How Rogo delivers AI to financial institutions with Claude Managed Agents and E2B.https://e2b.dev/customers
customersAlex Wang — Applied AI, Rogohttps://e2b.dev/customers
customersHow ClickUp Runs AI Code on Sensitive Data at Enterprise Scalehttps://e2b.dev/customers
customersHow Arena Puts Frontier AI to the Test with 600,000 E2B Sandboxes a Dayhttps://e2b.dev/customers
customersWhat looks like a simple conversation hides a demanding AI workload in production.https://e2b.dev/customers/anything
customersGetting from a prompt to a working app needs to feel immediate and magical for users. Behind this is a complete development environment that has to be provisioned, ready in seconds so the experience feels as immediate as chatting with an LLM.https://e2b.dev/customers/anything
customersHow Arena Puts Frontier AI to the Test with 600,000 E2B Sandboxes a Dayhttps://e2b.dev/customers/arena
customersHow Arena Puts Frontier AI to the Test with up to 600,000 E2B Sandboxes a Dayhttps://e2b.dev/customers/arena
customersArena started as a research project out of UC Berkeley's Sky Computing Lab in 2024, letting users compare model responses and choose the better answer. At the time, models had more limited capabilities than they do today, and evaluations focused on the quality of their answers. Arena used E2B to build WebDev Arena, where users could compare two model-generated websites side by side. As models became more powerful, the partnership grew with E2B: from web development evaluations to Code Arena and, later, Agent Arena's evaluations of agents doing everyday professional work.https://e2b.dev/customers/arena

These are first-party product claims, not independent measurements of AI-search visibility.

15

Marketing opportunities

Actions calculated directly from the collected evidence.

OpportunityRecommended actionEvidence
Competitor gapReview the sampled queries where youtube.com appears.3 first-page appearances across e2b, e2b sandbox

Website intelligence — Collected evidence

Website evidence gaps

  • reviews: no usable public page was collected; verify whether the site publishes this evidence.
  • changes: no usable public page was collected; verify whether the site publishes this evidence.
  • identity: no usable public page was collected; verify whether the site publishes this evidence.
  • technical: no usable public page was collected; verify whether the site publishes this evidence.

Trust and proof

16

Customers, proof, and reviews

Published proof, customer signals, and review evidence.

Independent reviews

PlatformPageHow it was foundNote
FeaturedCustomers23 E2B Customer Reviews & References / FeaturedCustomersGrounded web searchRead 9 E2B reviews and testimonials from customers, explore 13 case studies and customer success stories, and watch 1 customer videos to see why companies chose E2B as their AI Agent Infrastructure ... Customer Rating Review Score based on 375 reference ratings 4.8/5.0 (375) ... "We needed a fast, secure, and scalable way to let Compound Beta execute code. E2B was the obvious choice. E2B’s impressive API interface made their sandbox infrastructure require minimal effort … Benjamin Klieger Compou
DoolpaE2B Review (2026) — Secure Sandbox Cloud for AI Agents / DoolpaGrounded web searchSentiment across Hacker News, r/LocalLLaMA, and developer Twitter is unusually positive for an early infrastructure company. The most consistent praise: the SDKs "actually feel good to use," documentation is dense and accurate, and support resolves issues "in minutes" — a recurring quote from enterprise testimonials. On the Insight Partners and VentureBeat coverage of the Series A, developers from Perplexity and Manus publicly credited E2B for shipping features in days that would have taken mont

Customer proof

Proof typeNamed customer or sourceEvidence
Customer evidenceHow LarkHow Lark uses E2B sandboxes to test customer apps in Docker-based dev environments (source)
Customer evidenceHow Effective AIHow Effective AI uses E2B to keep customer code, data, and agent activity isolated across multi-agent insurance workflows. (source)
Customer evidenceAnythingAnything uses E2B Templates to give every new project a preconfigured starting environment. (source)
Customer evidenceArenaArena uses E2B Templates to give agents a prepared workspace from the start. (source)

Independent mentions

  • E2B: pricing, status & alternatives (Oct 2026) / RightAIChoice — won't publish themselves. Below: the recurring strengths, the ... 45 mentions across 2 sources (Hacker News, Lemmy) · researched Jul 3, 2026. 43% positive 57% critical Average across the 2 sources that answered — each source counts once, not each post.
  • have you tried e2b.dev? it runs lightweight sandboxes using firecracker, python ... / Hacker News — everything, including the infra is open-source (below), but it currently requires more than just your laptop (gcp, nomad, firecracker, postgres, etc.) this way, we're able to run millions secure sandbox environments i appreciate asking though and will be forwarding to my team to see if we can come up with a way for users to emulate the execution locally source code: https://github.com/e2b-dev/infra
  • Customers / E2B — The AI Agent Cloud — - 94 Of the Fortune 100 signed up. Fortune 100 companies with at least one E2B account. - 2B+ Sandboxes started. Cumulative starts across all regions. Crossed one billion in June 2026 and two billion in October 2026. - 15M+ Monthly SDK downloads. npm
  • How StackAI Runs Enterprise AI Agents for Regulated Industries / E2B — With E2B, it's really easy to provision sandboxes. They're ... . E2B is one of the only providers that delivers the enterprise security we need at the scale and ... that helps us create experiences that delight our end users and solve their problems.
  • How Anything Is Building a Vibe-Coding Empire with 1M+ Users — of E2B sandboxes in parallel, serving more than one million ... buy decision has become core infrastructure for the product, allowing the team to focus on AI software ... while relying on E2B to provide fast, isolated Linux environments at consumer scale
  • How Paper Instruments uses E2B to cut idle GPU time for RL rollouts — ' own benchmarking, E2B's tool execution came in up to 3 times faster than other sandbox providers they evaluated. Faster startup and faster command ... E2B provides a very good developer experience. They make it easy to spin up sandboxes, easy to snapshot
  • E2B B2B Case Studies & Customer Successes — ### Anything scales to 1M+ users with E2B's cloud sandboxes Anything ### ClickUp achieves secure, scalable AI code execution with E2B ClickUp ### Groq achieves fast, secure code execution for Compound Beta with E2B

External links were grounded in one live web search. Search snippets are leads, not independently scraped page content; rejected links remain available in Review evidence.

17

Company, security, and trust

Ownership, policies, security signals, and public trust evidence.

SignalFindingSource
Company and ownershipThe story starts with the founder Brendan Geils. The idea behind Athena is a one-stop shop for enterprise data analytics. We aim to be the place where enterprise data teams, whether that means analysts or engineers, go tsource
Contact and supportLearn more about who we are, how you can contact us and how we process personal data in our Privacy Policy.source
Legal and privacyLearn more about who we are, how you can contact us and how we process personal data in our Privacy Policy.source
Security and complianceClickUp serves enterprises in regulated industries like healthcare and financial services, so the systems that touch their data have to meet SOC 2 and HIPAA requirements. Brain² works with uploaded files and workspace dasource
Uptime and status pageNot published on the collected pages.—
Domain registered2023-04-03—
Domain expires2029-04-03—

Not found on the collected pages: uptime and status page. This only means Scout did not find it on the pages it read; it says nothing about the company itself.

18

Documentation and product updates

Help resources, product guidance, and visible changes over time.

Resource or updateTypeWhat is availableDate or freshness
About / E2B — The AI Agent CloudProduct updateProduct update is publicly available. (source)Not dated

Not found in the collected public sources: public roadmap, changelog or release notes, status page, separate help center or knowledge base.

Technical

19

Technical and delivery signals

Delivery model, platforms, API, data ownership, reliability claims and release activity.

SignalFindingSource
Delivery model (cloud, self-hosted, desktop, browser extension)E2B runs in E2B's cloud or in your own AWS, GCP, or Azure account via BYOC S35.S35
Platforms and appsWeb-based platform with Python and JavaScript SDKs S1.S1
API and extensibility (API, SDK, webhooks, MCP, plugins)Provides SDKs for Python and JavaScript, and a CLI S1 S35.S1 S35
Data ownership and exportNot published on the collected pages.—
Performance and reliability claimsSandboxes boot fast, e.g., a 30-step agent run can't start with a 60-second cold start S94.S94
Release activityWeekly product updates and releases S97.S97
20

Measured infrastructure

Domain, certificate, and hosting signals, measured directly.

SignalFinding
Domain registered2023-04-03 — MarkMonitor Inc.
Domain expires2029-04-03
TLS certificateLet's Encrypt, valid, expires 2026-12-28
Security headersHSTS, CSP, X-Content-Type-Options, X-Frame-Options
Headers not servedReferrer-Policy
Server headerVercel
Mail handled byaspmx.l.google.com, alt1.aspmx.l.google.com
Nameserversns-cloud-d3.googledomains.com, ns-cloud-d1.googledomains.com

Not measurable: wayback: rate limited by archive.org, ladder stopped after 1 probe(s). A gap here means the lookup was unavailable, not that the finding is negative.

21

Technical site audit

A bounded multi-page crawl with page-level issues and URLs.

Scout — Bounded technical crawl

  • Pages crawled: 15 of 15 maximum
  • Technical health: 98/100
  • Critical issues: 0
  • Warnings: 6
  • Notices: 3

Issues

SeverityIssueValueAffected URL
noticeMeta description length should be reviewed186https://e2b.dev/
noticeMeta description length should be reviewed202https://e2b.dev/enterprise
warningTitle length should be reviewed96https://e2b.dev/customers/gumloop-case-study
warningTitle length should be reviewed68https://e2b.dev/customers/clickup
noticeMeta description length should be reviewed176https://e2b.dev/customers/clickup
warningTitle length should be reviewed83https://e2b.dev/customers/genspark
warningTitle length should be reviewed72https://e2b.dev/customers/how-lmarena-collaborated-with-e2b-to-build-llm-web-development-evals
warningTitle length should be reviewed82https://e2b.dev/customers/rogo
warningTitle length should be reviewed73https://e2b.dev/customers/paperinstruments

Crawled pages

StatusTitleH1sWordsResponseURL
200E2B \The Enterprise AI Agent Cloud12320114 ms
200Enterprise \E2B — The AI Agent Cloud11146264 ms
200Pricing \E2B — The AI Agent Cloud1532766 ms
200Contact \E2B — The AI Agent Cloud1173202 ms
200How Hugging Face Is Using E2B to Replicate AI modelR1 \E2B11402207 ms
200Gumloop Has Run on E2B for Over Two Years — Serving Enterprises Like Shopify and Instacart \E2B1644218 ms
200How Manus Uses E2B to Provide Agents With Virtual Computers \E2B11113249 ms
200Lindy Powers AI Workflows With E2B Code Action \E2B1943222 ms
200Groq's Compound AI Systems Are Powered by E2B \E2B1849226 ms
200How ClickUp Runs AI Code on Sensitive Data at Enterprise Scale \E2B11404160 ms
200How Genspark Uses E2B to Run a General-Purpose AI Agent for Millions of Users \E2B1789573 ms
200How Arena Collaborated with E2B to Build LLM Web Development Evals \E2B1753236 ms
200Rogo Delivers AI for Financial Institutions with AI modelManaged Agents & E2B \E2B11175229 ms
200How Paper Instruments uses E2B to cut idle GPU time for RL rollouts \E2B11060184 ms
200Open Source \E2B — The AI Agent Cloud1383157 ms

This is a bounded Scout crawl. Core Web Vitals and Lighthouse scores are not claimed unless a dedicated performance audit is connected.

22

Search Console and Analytics

First-party search and behavioral data connection state.

Modeled acquisition channels

ChannelEstimated share
direct54.7%
search29.3%
search organic29.1%
search paid0.1%
social4.1%
social organic3.9%
social paid0.2%
referrals9.8%
paid referrals0.0%
mail0.6%
gen ai1.5%
affiliate0.0%
other0.0%

First-party connections

IntegrationStatusData available after connection
Google Search ConsoleNot connectedClicks, impressions, CTR, average position, queries, pages, countries, and devices
Google AnalyticsNot connectedOrganic sessions, engagement, landing pages, conversions, geography, and devices

No first-party Search Console or Analytics numbers are shown until the site owner authorizes the corresponding Google account. Scout traffic model values above are modeled estimates, not private analytics totals.

Limits and method

23

Limitations and open questions

Known constraints and missing evidence from the collected pages.

The collected evidence does not mention any competitors by name. Known gaps include the lack of a detailed security whitepaper or SOC2 report on the public pages. Open questions remain about the exact performance benchmarks and the full scope of the self-improving cloud vision S1.

24

Sources, method, and limitations

Evidence inventory, collection method, provider use, and constraints.

This report is based on 15 collected pages from e2b.dev, including the homepage, about, pricing, customers, and product-updates pages. The provider used static and browser rendering rendering, and an external proof search. The evidence includes marketing claims, product descriptions, customer case studies, and pricing details. No independent verification of customer metrics or claims was performed beyond the provided catalog.

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