# E2B AI visibility in AI Code Sandboxes & Agent Runtimes

Canonical: https://devtune.ai/verticals/ai-code-sandboxes-agent-runtimes/e2b

[Website](https://e2b.dev/)

Updated: 2026-09-26T21:42:26.776658+00:00
Prompts: 25
Runs: 6


## Platforms

- chatgpt-search
- perplexity
- google-ai
- bing-copilot-search
- google-ai-mode
- xai-search

Rank: 4
Total brands: 10
Measured responses: 150
Presence percent: 18.666666666666668
Share of voice percent: 13.564668769716087
Average position: 2.3488372093023258
Docs presence percent: 3.3333333333333335
Blog presence percent: 0.6666666666666667
Brand mention percent: 71.33333333333334


## Profile

Overview: E2B (FoundryLabs, Inc.) is an open-source cloud infrastructure platform providing secure, isolated sandbox environments purpose-built for AI agents and LLM-powered applications. Founded in 2023 by Vasek Mlejnsky and Tomas Valenta, E2B uses Firecracker microVMs to spin up fully isolated Linux environments in under 200 milliseconds. Its Python and JavaScript/TypeScript SDKs allow developers to integrate sandbox-based code execution into any LLM or AI framework with minimal setup. Core use cases include AI coding agents, deep research, data analysis and visualization, computer use, reinforcement learning, and vibe coding. Trusted by approximately 88% of Fortune 100 companies—including Perplexity, Hugging Face, Groq, and Manus—the platform has processed over 500 million sandboxes and sees 2 million+ monthly downloads. E2B raised a $21M Series A in July 2025 (total ~$32M), led by Insight Partners.
Product summary: E2B is an open-source AI agent cloud platform that provides on-demand, Firecracker microVM-isolated sandbox environments for securely executing AI-generated code and running autonomous agent workflows. It offers Python and TypeScript SDKs, a code interpreter, a Desktop Sandbox for computer use, MCP gateway support, and enterprise BYOC/on-prem deployment—all accessible in a few lines of code and used in production by Fortune 100 enterprises.


### Key capabilities

- Firecracker microVM-based isolated sandbox environments with hardware-level isolation per session
- Sub-200ms sandbox startup with no cold starts
- Python and JavaScript/TypeScript SDKs for sandbox creation and management
- Code interpreter supporting Python, JavaScript, Ruby, C++, and any Linux-compatible language
- Desktop Sandbox for LLM-powered computer use agents (graphical Linux desktop)
- Custom sandbox templates with versioning, caching, and package pre-installation
- Sessions up to 24 hours; sandbox persistence, snapshots, and auto-resume
- Bring Your Own Cloud (BYOC) and self-hosted/on-prem deployment options
- MCP gateway for secure Model Context Protocol server hosting
- Concurrent sandbox scaling to hundreds of instances for reinforcement learning and batch workloads



### Target users

- AI/ML engineers building agent-powered SaaS products
- Enterprise AI platform teams requiring secure, scalable code execution
- Data scientists integrating LLM-driven analysis and visualization
- AI researchers running reinforcement learning experiments at scale
- No-code/low-code SaaS builders adding custom code execution features
- Developer-tool startups building coding agents or computer use products



### Key use cases

- AI coding agents that execute, debug, and iterate on code
- Deep research agents conducting multi-step data retrieval and analysis
- AI data analysis and chart/visualization generation
- Computer use agents controlling virtual Linux desktops
- Reinforcement learning with tens of thousands of concurrent sandboxes
- Vibe coding / AI-generated app runtimes (any language or framework)
- Workflow automation with embedded secure code execution (e.g., no-code SaaS platforms)
- Secure CI/CD pipelines powered by AI-driven testing and validation

Integrations ecosystem: LLM-agnostic; integrates with OpenAI (GPT-4o, o1), Anthropic (Claude), Mistral (Codestral), Meta Llama, Groq, Fireworks AI, Together AI, and IBM WatsonX. Framework integrations include LangChain, LangGraph, LlamaIndex, AutoGen, Vercel AI SDK, and the OpenAI Agents SDK. Supports agents including Claude Code, OpenAI Codex, and Amp. Languages supported: Python, JavaScript/TypeScript, Ruby, C++, Bash, and any language runnable on Linux. MCP (Model Context Protocol) gateway is supported. BYOC deployment available for AWS (enterprise); GCP and Azure listed as targets. GitHub Actions CI/CD integration documented.
Pricing summary: Free Hobby tier includes a one-time $100 usage credit, community support, sandbox sessions up to 1 hour, and up to 20 concurrent sandboxes (no credit card required). Pro plan is $150/month and adds 24-hour session lengths, up to 100 concurrent sandboxes (expandable to 1,100), and customizable CPU and RAM. Enterprise tier offers custom pricing with BYOC, on-prem, and self-hosted options. Usage is billed per second: 2 vCPU (default) costs $0.000028/s (~$0.10/hour); RAM is $0.0000045/GiB/s. Storage is free up to 10 GiB (Hobby) or 20 GiB (Pro).
Review summary: No verifiable scores on major review platforms (G2, Gartner Peer Insights) were found as of this research. Developer sentiment gathered from third-party comparison articles and community discussion is broadly positive: E2B is consistently cited as the category pioneer with the best developer experience and SDK quality among AI sandbox runtimes. Common criticisms focus on session timeout constraints, concurrency limits at scale, and BYOC maturity relative to alternatives like Northflank.
Competitive positioning: E2B positions itself as the open-source, enterprise-grade standard for AI agent sandboxes—purpose-built for agentic and LLM workflows using Firecracker microVM isolation. Unlike general cloud platforms or container-based runtimes, E2B targets AI-native use cases (coding agents, deep research, computer use, RL training) with sub-200ms sandbox startup, an LLM-agnostic SDK, and a path to BYOC/on-prem deployment. It differentiates from Modal (gVisor-based, broader AI infra platform), Daytona (Docker containers, workspace-first), and Northflank (longer-lived, more mature BYOC) by combining hardware-level microVM isolation with polished Python and TypeScript SDKs and a developer-first, open-source community strategy.
Limitations: Session duration capped at 1 hour (Hobby) and 24 hours (Pro), which can disrupt long-running reasoning tasks. Concurrency limits of 20 (Hobby) and 100 (Pro) sandboxes; higher limits require add-on purchase. BYOC is currently limited to AWS and enterprise-tier customers; self-hosting requires deploying and managing E2B infrastructure independently. No native GPU support (as of early 2026), limiting suitability for GPU-intensive AI workloads. Regional infrastructure flexibility is limited on the managed cloud tier. Some third-party evaluations note the platform lacks built-in orchestration for persistent multi-session agent workflows compared to workspace-focused alternatives.


### Source urls

- https://e2b.dev/
- https://e2b.dev/pricing
- https://e2b.dev/docs
- https://e2b.dev/blog/series-a
- https://github.com/e2b-dev
- https://www.e2b.dev/blog/how-perplexity-implemented-advanced-data-analysis-for-pro-users-in-1-week
- https://e2b.dev/blog/how-manus-uses-e2b-to-provide-agents-with-virtual-computers
- https://e2b.dev/blog/lindy-powers-ai-workflows-with-e2b-code-action
- https://siliconangle.com/2025/07/28/e2b-shares-vision-sandboxed-cloud-environments-every-ai-agent-raising-21m-funding/
- https://www.vestbee.com/insights/articles/e2-b-secures-21-m
- https://therecursive.com/czech-startup-e2b-raises-11-5m-to-build-cloud-infrastructure-for-ai-agents/
- https://betterstack.com/community/comparisons/best-sandbox-runners/
- https://northflank.com/blog/best-alternatives-to-e2b-dev-for-running-untrusted-code-in-secure-sandboxes
- https://northflank.com/blog/e2b-vs-modal
- https://www.zenml.io/blog/e2b-alternatives

Reviewed at: 2026-04-28T23:37:48.446+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| Perplexity | Perplexity integrated E2B to power secure code execution for advanced data analysis features for its Pro users. The integration went from first steps in July 2024 to production in August 2024, with E2B up and running within one week. | Millions of E2B sandboxes run per month at 340M searches/month scale; feature shipped in 1 week |
| Manus | Manus used E2B to provide its multi-agent AI system with full virtual computers, enabling 27 tools and complex autonomous workflows. Integration took half a day versus an estimated 3–5 FTE engineer-months to build in-house. | Integration completed in ~0.5 days; avoided 3–5 FTE engineers of infra build |
| Lindy | Lindy integrated E2B to power a new Code Action feature enabling custom Python and JavaScript execution within no-code workflows. Implementation took one engineer working in spare cycles for one week, versus an estimated weeks of work for multiple engineers in-house. | Shipped in 1 week with 1 engineer; estimated 'weeks and multiple people' avoided |
| Hugging Face | Hugging Face used E2B to securely scale AI research experiments, launching tens of thousands of concurrent machines with near-zero setup time to replicate DeepSeek-R1 training. | Tens of thousands of concurrent sandbox machines with near-zero setup time |



### Reviews breakdown





### Review themes



#### Praised

- Best-in-class Python and TypeScript SDK quality
- Fast sandbox startup (~150ms, no cold starts)
- Strong Firecracker microVM security/isolation
- Easy integration (often described as a few hours to one week)
- Active open-source community and responsive engineering team
- LLM-agnostic and framework-flexible
- Extensive cookbook examples and documentation



#### Criticized

- Session duration limits (1h Hobby, 24h Pro) disruptive for long-running agents
- Strict concurrency caps require paid add-ons at scale
- BYOC immature; self-hosting requires managing E2B infra independently
- Limited regional/infrastructure flexibility on managed tier
- No native GPU support
- Pricing adds up at high sandbox volume
- Lack of built-in long-session orchestration compared to workspace-first platforms




### Company facts

Founded year: 2023
Hq: San Francisco, CA / Czech Republic (dual presence)


#### Founders

- Vasek Mlejnsky
- Tomas Valenta

Employees range: 28-30
Total funding: ~$32M
Valuation: Not available
Arr: Not available
Customer count: 88% of Fortune 100 signed up; used acros
Status: Private


Readiness: Not available


## Ranking

| Display name | Pair count | Total pairs | Presence percent | Avg position |
| --- | --- | --- | --- | --- |
| Modal | 55 | 150 | 36.666666666666664 | 4.288288288288288 |
| Northflank | 39 | 150 | 26 | 4.91358024691358 |
| Daytona | 30 | 150 | 20 | 3.55 |
| E2B | 28 | 150 | 18.666666666666668 | 2.3488372093023258 |
| Cloudflare | 19 | 150 | 12.666666666666668 | 3.52 |
| Fly.io | 4 | 150 | 2.666666666666667 | 4.5 |
| CodeSandbox | 3 | 150 | 2 | 3.25 |
| Runloop | 3 | 150 | 2 | 3.3333333333333335 |
| Morph | 0 | 150 | 0 | Not available |
| Together AI | 0 | 150 | 0 | Not available |



## Platform breakdown

| Platform | Prompt count | Presence rate |
| --- | --- | --- |
| chatgpt-search | 12 | 48 |
| perplexity | 7 | 28.000000000000004 |
| google-ai | 3 | 12 |
| bing-copilot-search | 0 | 0 |
| google-ai-mode | 6 | 24 |
| xai-search | 0 | 0 |



## Strengths

| Prompt text | Platform count | Avg position |
| --- | --- | --- |
| Which sandboxed execution platforms let AI agents run arbitrary shell commands safely without kernel-level escape risks or shared-tenant interference? | 1 | 1 |
| I need a code execution environment that supports GPU workloads for AI-generated training scripts — which sandboxed platforms handle that use case? | 1 | 1 |
| What do platform engineers typically use to manage ephemeral execution environments for AI agents — and which options have the least operational burden? | 1 | 1 |
| Which microVM-based sandbox platforms have the smoothest onboarding for a solo developer shipping an AI coding assistant MVP? | 1 | 1 |
| Which sandboxed agent runtimes integrate well with popular LLM orchestration frameworks so I don't have to build a custom execution bridge? | 2 | 1 |



## Gaps

| Prompt text | Competitor presence count |
| --- | --- |
| What are the best code execution sandbox options that support pre-installing custom dependencies from a private package registry before agent runs? | 5 |
| Which isolated execution environments scale elastically under bursty AI agent traffic without me having to pre-provision capacity? | 4 |
| What sandboxed agent runtime platforms are best suited for production workloads executing user-submitted code thousands of times per day? | 3 |
| I'm adding a code interpreter to my LLM app and need a sandboxed runtime — which services are easiest to integrate without managing my own infrastructure? | 3 |
| I'm evaluating sandboxed agent runtimes for a small team building an AI data analyst tool — what should I look at to avoid the overhead of self-hosting? | 3 |



## Topic scores

| Topic name | Prompt count | Cited prompt count |
| --- | --- | --- |
| Capability | 5 | 5 |
| Developer Experience | 5 | 5 |
| Integrations & Ecosystem | 5 | 4 |
| Performance & Reliability | 5 | 4 |
| Setup & First Run | 5 | 3 |



## Prompt results

- Prompt text: Which sandboxed execution platforms let AI agents run arbitrary shell commands safely without kernel-level escape risks or shared-tenant interference?


#### Brand position by platform

Chatgpt-search: 1
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| E2B | 1 |
| Runloop | 2 |
| Daytona | 4 |
| Cloudflare | 5 |
| Modal | 6 |
| Northflank | 7 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Modal | 2 |
| Northflank | 3 |



##### Google-ai





##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Modal | 1 |
| Daytona | 3 |



##### Xai-search




- Prompt text: What sandboxed agent runtime platforms are best suited for production workloads executing user-submitted code thousands of times per day?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Cloudflare | 4 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Modal | 1 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Modal | 2 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Northflank | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Daytona | 2 |
| Northflank | 3 |



##### Xai-search




- Prompt text: I'm adding a code interpreter to my LLM app and need a sandboxed runtime — which services are easiest to integrate without managing my own infrastructure?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Daytona | 2 |
| Runloop | 3 |
| Modal | 4 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Daytona | 2 |
| Cloudflare | 3 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Modal | 1 |



##### Bing-copilot-search





##### Google-ai-mode





##### Xai-search




- Prompt text: I need a code execution environment that supports GPU workloads for AI-generated training scripts — which sandboxed platforms handle that use case?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: 1
Xai-search: Not available



#### Platform rows



##### Chatgpt-search





##### Perplexity

| Display name | Position |
| --- | --- |
| Modal | 1 |
| Northflank | 3 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Modal | 2 |
| Northflank | 5 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Northflank | 1 |
| Modal | 2 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| E2B | 1 |
| Daytona | 2 |



##### Xai-search




- Prompt text: What do platform engineers typically use to manage ephemeral execution environments for AI agents — and which options have the least operational burden?


#### Brand position by platform

Chatgpt-search: 1
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| E2B | 1 |
| Daytona | 2 |
| Modal | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Northflank | 5 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Northflank | 1 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Northflank | 2 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Daytona | 1 |
| Modal | 2 |



##### Xai-search




- Prompt text: What sandboxed execution environments have good support for streaming output back to the calling application in real time during an agent's code run?


#### Brand position by platform

Chatgpt-search: 3
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Modal | 1 |
| Daytona | 2 |
| E2B | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Cloudflare | 1 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Cloudflare | 2 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Cloudflare | 2 |



##### Google-ai-mode





##### Xai-search




- Prompt text: What's the fastest sandbox runtime to spin up for an AI agent backend — which platforms let you get isolated code execution running in under 5 minutes?


#### Brand position by platform

Chatgpt-search: 1
Perplexity: 4
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| E2B | 1 |
| Daytona | 2 |
| Modal | 4 |
| CodeSandbox | 5 |
| Cloudflare | 6 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Daytona | 1 |
| E2B | 4 |
| Modal | 7 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Fly.io | 4 |
| Modal | 8 |



##### Bing-copilot-search





##### Google-ai-mode





##### Xai-search




- Prompt text: Which isolated execution environments scale elastically under bursty AI agent traffic without me having to pre-provision capacity?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: 7
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Daytona | 2 |
| Cloudflare | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Modal | 5 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Northflank | 1 |
| Daytona | 3 |
| E2B | 7 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Northflank | 3 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Northflank | 1 |
| Daytona | 2 |
| Modal | 3 |



##### Xai-search




- Prompt text: Which microVM-based sandbox platforms have the smoothest onboarding for a solo developer shipping an AI coding assistant MVP?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: 1
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Northflank | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| E2B | 1 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Modal | 1 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Northflank | 1 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Northflank | 2 |



##### Xai-search




- Prompt text: Which sandboxed agent runtimes integrate well with popular LLM orchestration frameworks so I don't have to build a custom execution bridge?


#### Brand position by platform

Chatgpt-search: 1
Perplexity: 1
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| E2B | 1 |
| Daytona | 4 |
| Modal | 6 |



##### Perplexity

| Display name | Position |
| --- | --- |
| E2B | 1 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Modal | 2 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Modal | 1 |
| Northflank | 3 |



##### Xai-search




- Prompt text: Which microVM sandbox services have the lowest cold-start latency for AI agent code execution at scale — sub-500ms range?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: 3
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Northflank | 2 |
| Daytona | 7 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Northflank | 4 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Modal | 15 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Modal | 1 |
| E2B | 3 |



##### Xai-search




- Prompt text: Looking for an ephemeral code execution environment I can provision per user session — which services have a simple SDK or API to get started quickly?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: 2
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search





##### Perplexity

| Display name | Position |
| --- | --- |
| Cloudflare | 2 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Modal | 1 |
| E2B | 2 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Cloudflare | 1 |
| Northflank | 2 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Modal | 2 |



##### Xai-search




- Prompt text: My AI agent generates and executes code in a tight loop — which sandbox platforms sustain high-frequency execution without degrading over time?


#### Brand position by platform

Chatgpt-search: 4
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Daytona | 1 |
| Fly.io | 2 |
| Modal | 3 |
| E2B | 4 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Northflank | 6 |
| Modal | 7 |



##### Google-ai





##### Bing-copilot-search





##### Google-ai-mode





##### Xai-search




- Prompt text: Which code sandbox services have good observability built in so I can actually debug what my AI agent is running inside the environment?


#### Brand position by platform

Chatgpt-search: 2
Perplexity: 1
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Daytona | 1 |
| E2B | 2 |
| Modal | 3 |
| Cloudflare | 4 |



##### Perplexity

| Display name | Position |
| --- | --- |
| E2B | 1 |
| Modal | 4 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Modal | 2 |
| Cloudflare | 3 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Northflank | 2 |
| Modal | 3 |



##### Xai-search




- Prompt text: Which agent compute platforms have the most active developer communities and solid docs for teams just getting into agentic AI workflows?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: 1
Xai-search: Not available



#### Platform rows



##### Chatgpt-search





##### Perplexity





##### Google-ai





##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| E2B | 1 |
| Modal | 2 |



##### Xai-search




- Prompt text: What are the best code execution sandbox options that support pre-installing custom dependencies from a private package registry before agent runs?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Cloudflare | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| CodeSandbox | 1 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Modal | 1 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Northflank | 2 |
| Cloudflare | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Modal | 1 |
| Northflank | 3 |



##### Xai-search




- Prompt text: Which agent compute platforms avoid heavy lock-in and work across major cloud providers so I can keep data residency in my existing infrastructure?


#### Brand position by platform

Chatgpt-search: 2
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| E2B | 2 |
| Daytona | 4 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Northflank | 3 |



##### Google-ai





##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Daytona | 1 |



##### Xai-search




- Prompt text: I need an AI agent sandbox that allows secure outbound connections to a relational database during execution — which platforms support that?


#### Brand position by platform

Chatgpt-search: 3
Perplexity: Not available
Google-ai: 3
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Modal | 1 |
| Daytona | 2 |
| E2B | 3 |
| Cloudflare | 4 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Modal | 1 |
| Northflank | 3 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Modal | 1 |
| E2B | 3 |
| Daytona | 8 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Modal | 2 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Modal | 1 |
| Northflank | 3 |



##### Xai-search




- Prompt text: Which AI sandbox platforms offer the best developer experience for iterating on agent tools locally before deploying to production?


#### Brand position by platform

Chatgpt-search: 3
Perplexity: 1
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| E2B | 3 |
| Daytona | 4 |
| Modal | 5 |



##### Perplexity

| Display name | Position |
| --- | --- |
| E2B | 1 |
| Daytona | 5 |
| Modal | 10 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Modal | 1 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Northflank | 3 |



##### Xai-search




- Prompt text: I want a sandboxed runtime where my team can define reusable execution templates — which platforms make that workflow easy without deep infra knowledge?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: 1
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Modal | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| E2B | 1 |
| Daytona | 4 |



##### Google-ai

| Display name | Position |
| --- | --- |
| CodeSandbox | 1 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Modal | 3 |



##### Xai-search




- Prompt text: What are the best isolated runtime options for AI agents that need persistent filesystem state across multiple execution steps in a single session?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: 1
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Daytona | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Modal | 3 |
| Northflank | 6 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Northflank | 1 |
| Fly.io | 2 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Modal | 1 |
| Northflank | 2 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| E2B | 1 |



##### Xai-search




- Prompt text: I'm evaluating sandboxed agent runtimes for a small team building an AI data analyst tool — what should I look at to avoid the overhead of self-hosting?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Daytona | 2 |
| Cloudflare | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Northflank | 7 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Northflank | 2 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Northflank | 1 |
| Modal | 2 |
| Fly.io | 3 |



##### Xai-search




- Prompt text: Looking for a sandboxed code interpreter that can handle long-running jobs — 10 to 30 minutes — without hitting timeout limits. What are my options?


#### Brand position by platform

Chatgpt-search: 2
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: 1
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Modal | 1 |
| E2B | 2 |
| Daytona | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Modal | 6 |
| Northflank | 7 |



##### Google-ai





##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Cloudflare | 6 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| E2B | 1 |
| Modal | 3 |



##### Xai-search




- Prompt text: Which agent runtime platforms support spawning concurrent sandbox instances so multiple AI agents can run code in parallel for a multi-agent workflow?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: 1
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Daytona | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Northflank | 5 |
| Cloudflare | 6 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Northflank | 3 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| E2B | 1 |



##### Xai-search




- Prompt text: Which code sandbox platforms are considered production-ready for enterprise AI applications where uptime and SLA guarantees actually matter?


#### Brand position by platform

Chatgpt-search: 1
Perplexity: 1
Google-ai: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| E2B | 1 |
| Daytona | 3 |
| Modal | 4 |
| Cloudflare | 5 |



##### Perplexity

| Display name | Position |
| --- | --- |
| E2B | 1 |
| Modal | 3 |
| Runloop | 5 |
| Northflank | 7 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Modal | 1 |
| Northflank | 2 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Modal | 1 |



##### Xai-search







## Top sources

| Url | Title | Domain | Logo url | Source vertical | Content type | Citation count | Last30d count |
| --- | --- | --- | --- | --- | --- | --- | --- |
| https://e2b.dev/ | E2B \| The Enterprise AI Agent Cloud | e2b.dev | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/766ccd99-5fb2-467e-840e-cf1f160a7399/ac6c2dec0d427b3d8651146253f4db372e53b256.png | commercial | landing_page | 40 | 40 |
| https://docs.e2b.dev/ | E2B Documentation - E2B Docs | docs.e2b.dev | Not available | commercial | documentation | 9 | 9 |
| https://e2b.dev/enterprise | Enterprise \| E2B — The AI Agent Cloud | e2b.dev | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/766ccd99-5fb2-467e-840e-cf1f160a7399/ac6c2dec0d427b3d8651146253f4db372e53b256.png | commercial | landing_page | 6 | 6 |
| https://e2b.dev/security | Security \| E2B — The AI Agent Cloud | e2b.dev | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/766ccd99-5fb2-467e-840e-cf1f160a7399/ac6c2dec0d427b3d8651146253f4db372e53b256.png | commercial | documentation | 5 | 5 |
| https://docs.e2b.dev/template/quickstart | Quickstart - E2B Docs | docs.e2b.dev | Not available | commercial | documentation | 4 | 4 |
| https://e2b.dev/docs/sdk-reference/js-sdk/v2.6.2/sandbox | SDK Reference - E2B | e2b.dev | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/766ccd99-5fb2-467e-840e-cf1f160a7399/ac6c2dec0d427b3d8651146253f4db372e53b256.png | commercial | documentation | 4 | 4 |
| https://docs.e2b.dev/use-cases/coding-agents | Coding Agents - E2B Docs | docs.e2b.dev | Not available | commercial | documentation | 3 | 3 |
| https://docs.e2b.dev/network/internet-access | Internet access - E2B Docs | docs.e2b.dev | Not available | commercial | documentation | 3 | 3 |



## Response excerpts

| Prompt text | Platform | Excerpt |
| --- | --- | --- |
| What do platform engineers typically use to manage ephemeral execution environments for AI agents — and which options have the least operational burden? | perplexity | ...ndbox, or hardened container; “managed” describes the operating model, not the isolation mechanism [1]. - Examples include E2B, Modal, Daytona, Vercel Sandbox, Cloudflare, and similar services [2]. - Best default when you want fast adoption and do... |
| I want a sandboxed runtime where my team can define reusable execution templates — which platforms make that workflow easy without deep infra knowledge? | perplexity | For that workflow, the strongest fits are E2B and Daytona. Both give you isolated execution environments and a reusable “golden environment” concept, so application teams can launch standardized runtimes without operating the underlying sandbox fleet. |
| What's the fastest sandbox runtime to spin up for an AI agent backend — which platforms let you get isolated code execution running in under 5 minutes? | perplexity | ## Short answer Fastest to first isolated execution: Daytona and E2B. Both have hosted APIs, SDK quickstarts, and prebuilt environments, so a basic proof of concept should fit comfortably within five minutes if you already have an API key and billin... |



## Competitor excerpts

| Platform | Competitor name | Excerpt |
| --- | --- | --- |
| chatgpt-search | Cloudflare | ...\| Kubernetes + sandbox runtime \| Yes \| Yes \| Pods, gVisor/Kata/Firecracker options \| Enterprise agent platforms \| \| Cloudflare Sandbox \| Depends on container workflow \| Yes via container setup \| Cloudflare Containers \| Agents already running on Clo... |
| perplexity | CodeSandbox | ...xplicitly support private/custom package registries and can be configured so dependencies are available before agent runs: ## 1) CodeSandbox / Sandpack Best fit if you want a mature sandboxing ecosystem with first-class private registry support. |
| google-ai | Modal | Modal Here are the top code execution sandbox options that handle custom dependencies and private registries effectively: ### 1\. |
| bing-copilot-search | Northflank | The best sandbox platforms for pre-installing custom dependencies from private registries are Beam, Northflank, Cloudflare Sandboxes, and E2B. |
| google-ai-mode | Modal | Modal * Isolation Technology: gVisor with rigorous system call (syscall) filtering. |
| chatgpt-search | Daytona | ...isolation \| Serverless/on-demand compute \| Volumes available \| Yes \| Agents needing heterogeneous/GPU compute \| \| Daytona \| Containers / VM sandboxes \| Fleet scales horizontally \| Yes, by design \| Yes \| Long-lived agent workspaces \| \|... |
| chatgpt-search | Cloudflare | ...Containers / VM sandboxes \| Fleet scales horizontally \| Yes, by design \| Yes \| Long-lived agent workspaces \| \| Cloudflare Sandbox SDK \| Each sandbox in its own VM \| Containers integrated with Workers \| External/persistent state \| Not via Con... |
| google-ai | Northflank | Northflank * Modal : Operates as a serverless compute platform utilizing gVisor-based sandboxes. |
| google-ai | Daytona | Daytona : Specializes in high-speed sandbox provisioning and workspace infrastructure for AI agents, delivering rapid parallel scaling for multi-step agent execution runs. |
| bing-copilot-search | Northflank | The most effective isolated execution environments for bursty AI agent traffic are _serverless microVM runtimes_ (like Firecracker-based sandboxes) and _elastic sandbox platforms_ (such as DeepSeek Elastic Compute or Northflank Sandboxes). |
| google-ai-mode | Northflank | Northflank +3 * Item Modal : An elite serverless cloud platform optimized for heavy computational and ML-driven workloads. |
| google-ai-mode | Daytona | Item Daytona : Offers enterprise-grade, programmable secure infrastructure for agentic workflows. |



## Trend

Visibility delta: 1.6000000000000014
Avg position delta: 0.2377260981912146
Citation count delta: -2