Cloud Infrastructure & DevOps★ EDITOR'S PICK · BUY· read full review ↓

E2B

Secure sandboxed code execution for AI agents — Firecracker microVMs that boot in 150ms, used by Perplexity and Manus.

Professional
Pricing Tier
Easy
Learning Curve
hours
Implementation
small, medium, large
Best For
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Use when

AI agents that need to run untrusted code, code-interpreter features, data-analysis assistants, sandboxed plugin systems.

Avoid when

Long-running compute jobs (use Modal), pure code execution without AI context (use AWS Lambda directly).

What is E2B?

E2B provides secure, ephemeral compute environments for AI-generated code. Built on Firecracker (the AWS Lambda underlying tech), each sandbox boots in ~150ms and runs arbitrary code with full filesystem and network. Powers Perplexity's code interpreter, Manus AI agent runtimes, and many of the long-tail AI agent builders that need to "just run Python safely." Open-source SDK with paid hosted infrastructure.

Key features

150ms cold-start Firecracker microVMs
Python and Node SDKs
Persistent filesystem within session
Internet access (configurable)
Code interpreter template (matplotlib, pandas pre-installed)
Open-source self-host option

Integrations

OpenAIAnthropicLangChainLlamaIndex
💰 Real-world pricing

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StackMatch EditorialVerdict: BuyUpdated Apr 30, 2026

Sandboxed code execution for AI — the right primitive at the right time

Editor's summary

E2B gives AI agents a secure sandbox to run code, install packages, and execute commands. It's how OpenAI's Code Interpreter pattern gets reimplemented across every AI agent product without security disasters.

E2B solves a problem that every agent team eventually hits: "the LLM wrote code, now what runs it safely?" The answer was rolling your own Firecracker VMs, dealing with sandbox escape edge cases, or accepting the security and operational nightmare of `eval` on a server. E2B abstracts all of that into an SDK call: spin up a sandbox, run code, get results back. The sandboxes are durable enough for multi-step agent workflows but ephemeral enough to throw away after.

The competition matters here. Vercel Sandbox (GA January 2026) is the obvious alternative for teams already on Vercel and may be enough for many use cases. Modal also offers similar primitives with a different abstraction. E2B's edge is being purpose-built for agents — the SDK ergonomics are tuned for "give an LLM a Python REPL" and that focus shows.

Buy E2B if you're building AI agents that execute code (data analysis copilots, AI engineers, research agents). Evaluate Vercel Sandbox if you're already a Vercel shop and your sandbox needs are simpler. Skip if your agent doesn't execute code — you don't need a sandbox you're not using.

Best for

AI agent products that execute code as part of their workflow — data analysis copilots, research agents, AI engineers.

Not for

Agents that only call APIs and don't execute arbitrary code; or Vercel-native teams who can use Vercel Sandbox.

Written by StackMatch Editorial. StackMatch editorial reviews are independent analyst commentary, not user reviews. We have no affiliate relationship with this tool. See user reviews below for community perspective.

HONEST ALTERNATIVES

Before you buy E2B

Vendors don't tell you about their competitors. We do — with verdicts attached when we have them.

3 of 3 have a StackMatch Editorial verdict.
See all in Cloud Infrastructure & DevOps
REAL COST CALCULATOR

What E2B actually costs

Sticker price isn't the real cost. We add implementation, training, and a probability-weighted lock-in penalty.

1500
Subscription
$50/seat/mo × 50 × 36 mo
$90K
Implementation (one-time)
Minutes/hours
$0
Training (one-time)
$200/seat × 50 (easy curve)
$10K
Real total cost (3-year)
~$33K per year
$100K
1.1× sticker. Vendor will quote ~$90K (subscription only). Real cost is $100K once implementation, training, and switching risk are priced in.
Heuristic — uses median industry rates. Negotiate to beat list pricing; the implementation and training estimates assume reasonable rollout.
NEGOTIATION TIMING

When to negotiate E2B

Vendor sales pressure is non-uniform — quarter-close, year-end, and post-funding-round are your high-leverage windows.

HIGH LEVERAGE15 days to Q2 close

Strong negotiation window. Reps will push for end-of-quarter signature. Don't move first — let them initiate the discount. Target 15-30% off list plus negotiated terms.

Tier-specific leverage
Professional-tier has moderate negotiation room — annual commit + reference customer rights typically unlock 15-25% off list.
Q1
289d out
Q2
15d out
Q3
107d out
Q4
199d out
Calendar-quarter heuristic. Vendors on fiscal-year ≠ calendar may shift these windows; ask the rep what their fiscal year-end is.
BUYER'S QUESTION LIST

Take this to your sales call

10 questions vendor sales teams steer around — generated from E2B's pricing tier, lock-in profile, and editorial verdict.

  1. 1
    PRICING
    E2B is professional-tier on the public site. What's the discount path for small-sized teams committing annually vs. monthly?
  2. 2
    PRICING
    What overages or seat-overflow charges should we plan for? Show me the worst-case bill if our usage grows 2x in year 1.
  3. 3
    CONTRACT
    Auto-renewal: how many days notice is required to terminate, and what happens if we miss the window? Will you commit to a renewal-reminder email at 90 and 60 days?
  4. 4
    MIGRATION
    Data export: what's the complete spec — format, frequency, and what data does the export NOT include? After contract end, how long do we have read-only access?
  5. 5
    MIGRATION
    Implementation runs hours. Who from your team is included by default, and who do we add at additional cost? Is a CSM assigned?
  6. 6
    FIT
    E2B is best for: AI agent products that execute code as part of their workflow — data analysis copilots, research agents, AI engineers.. We're [describe your situation]. Walk me through the failure modes if our profile doesn't match.
  7. 7
    FIT
    Connect us with 2-3 reference customers at our company size in SaaS — not the case-study list, customers who've been live for 18+ months and have churned at least one tool from your stack.
  8. 8
    INTEGRATION
    E2B lists 4 integrations including OpenAI, Anthropic, LangChain. Which of OUR existing tools — bring our list — have you confirmed shipping integration with versus "on roadmap"? Show me the actual status.
  9. 9
    VENDOR
    Track record over the last 18 months: any pricing model changes, executive departures, layoffs, M&A activity, or material customer churn we should know about?
  10. 10
    VENDOR
    If you're acquired or shut down, what's the contractual continuity — source-code escrow, data portability, transition period? Show me the actual clause.
Auto-generated from E2B's structured profile. Edit before sending — you know your situation better than we do.
ANTI-DEMO CHECKLIST

What to actually test in the demo

Vendor sales teams script demos to maximize close rate. Here's what they'd rather you not test — derived from E2B's lock-in profile and editorial verdict.

  1. 1
    PERFORMANCE
    Bring YOUR data, not their demo data. Insist on running the demo workflow against a sample of your real records, files, or queries. If they refuse — that's a signal.
  2. 2
    PERFORMANCE
    E2B demo will be built around the happy path. Ask: "Show me what happens when [the most common failure mode in our context]" — make them improvise.
  3. 3
    EDGE CASES
    Push the limits live: largest dataset, longest workflow, most users concurrent. Vendors prep demos for medium loads — your real-world usage might 10x what they show.
  4. 4
    EDGE CASES
    Mobile and offline behavior: how does E2B degrade on slow connections, on iPad, in airplane mode? Test in the demo if your team uses these surfaces.
  5. 5
    PRICING
    Model your worst-case bill: 2x the seats, 3x the usage. Show the exact dollar figure on screen during the demo. Refuse "we'll get back to you" — get the math live.
  6. 6
    INTEGRATION
    Vendors love their integration logo wall. Test the actual depth: pick the 2-3 (OpenAI, Anthropic-style) integrations you depend on most, and ask the rep to demo a real two-way data sync, not a marketing screenshot.
  7. 7
    INTEGRATION
    API and webhook reality check: rate limits, payload size limits, retry behavior, auth refresh handling. Ask for actual API docs in the demo, not "we'll send those."
  8. 8
    MIGRATION
    Demo the full data export workflow. Even with low lock-in, you want to see how clean the exit looks before signing.
  9. 9
    SUPPORT
    Submit a real support ticket DURING the demo. Use the actual support channel customers use, not the rep's email. Time the response. This is your most honest data point about post-sale reality.
  10. 10
    SUPPORT
    Ask to be connected with a customer in the demo who you can email TODAY (not "we'll arrange a reference call next week"). The vendor's confidence in their references is a tell.
Print it, bring it to the demo call, and check items off as you cover them. The rep noticing you have a list changes the energy.

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