Run browser agents with managed sessions, proxies, profiles, credentials, replays, and observability
Who should use this?
Developers deploying browser and computer-use agents and Automations requiring persistent authenticated sessions.
Who should avoid it?
Unauthorized automation or terms violations, Consequential writes without human approval
What problem does it solve?
Steel is an open-source browser API and managed cloud runtime for AI agents, offering sessions, browser tools, proxies, CAPTCHA handling, persistent identity, and credential injection.
Would I recommend it?
Steel earns a pilot for browser-agent teams that need observable, persistent cloud sessions and do not want to manage Chromium infrastructure. Start with read-only tasks, isolate one profile and identity per account, keep spending and domain allowlists tight, and treat credential injection as secret protection—not permission to let an agent act without review.
Advisor score
Premium review framework
Steel is an open-source browser API and managed cloud runtime for AI agents, offering sessions, browser tools, proxies, CAPTCHA handling, persistent identity, and credential injection.
Steel earns a pilot for browser-agent teams that need observable, persistent cloud sessions and do not want to manage Chromium infrastructure. Start with read-only tasks, isolate one profile and identity per account, keep spending and domain allowlists tight, and treat credential injection as secret protection—not permission to let an agent act without review.
Run 500 approved tasks across public, authenticated, file-download, CAPTCHA, multi-tab, and failure-recovery cases. Use separate least-privilege test accounts and approval-gate every write. Measure completion, wrong-action and duplicate-action rates, credential exposure, tenant isolation, replay usefulness, profile corruption, blocked pages, proxy bandwidth, CAPTCHA solves, browser minutes, cold starts, p95 latency, and total cost per safely completed task. Inject prompt attacks and provider outages before production approval.
Personal Recommendation
Steel earns a pilot for browser-agent teams that need observable, persistent cloud sessions and do not want to manage Chromium infrastructure. Start with read-only tasks, isolate one profile and identity per account, keep spending and domain allowlists tight, and treat credential injection as secret protection—not permission to let an agent act without review.
Try the recommendation
Open-source core with managed cloud option
Overall Score
Editorial Review Framework
Who should use this?
Developers deploying browser and computer-use agents, Automations requiring persistent authenticated sessions, Teams needing replayable managed browsers.
Who should avoid it?
Unauthorized automation or terms violations, Consequential writes without human approval
What problem does it solve?
Steel is an open-source browser API and managed cloud runtime for AI agents, offering sessions, browser tools, proxies, CAPTCHA handling, persistent identity, and credential injection.
Would I recommend it?
Steel earns a pilot for browser-agent teams that need observable, persistent cloud sessions and do not want to manage Chromium infrastructure. Start with read-only tasks, isolate one profile and identity per account, keep spending and domain allowlists tight, and treat credential injection as secret protection—not permission to let an agent act without review.
Overall Score
8.2
Ease of Use
8.0
AI Quality
8.2
Features
8.6
Speed
8.0
Integrations
8.4
Value for Money
8.0
Customer Support
7.6
Learning Curve
7.4
Recommended Because…
Open-source core with managed cloud option
Scores use a 0-10 editorial scale. The source data is maintained as 5-point review dimensions, then normalized for reader-friendly comparison.
Reusable trial worksheet
Turn this review’s buyer test into evidence. Your entries autosave only in this browser and are never added to shared shortlist links.
Confirm the tool meets every must-have workflow and stakeholder requirement.
Review starting point: Developers deploying browser and computer-use agents; Automations requiring persistent authenticated sessions; Teams needing replayable managed browsers
Run the same representative work you would use in production; do not score a polished demo.
Review starting point: Complete three to five representative tasks with known acceptable outcomes and compare them with your current process.
Calculate the effective cost per accepted result, including usage, review, corrections, and required add-ons.
Review starting point: Steel Launch is $0 plus usage with $30 in one-time credits valid for 90 days, ten concurrent sessions, and 15-minute sessions. Listed Launch rates include $0.10 per browser hour, $10 per GB of proxy bandwidth, $3 per 1,000 CAPTCHA solves, and $5 per 1,000 one-shot browser-tool calls. Scale is $250 monthly plus usage with $100 monthly credits, 100 concurrent…
Define an acceptance threshold, test known answers and edge cases, and record every correction.
Review starting point: Editorial quality signals: features 4.3/5; AI quality 4.1/5. Validate these signals in your own work.
Verify what data enters the product, who can access it, how long it is retained, and whether it trains models.
Review starting point: Use approved low-risk data first. Check roles, consent, deletion, subprocessors, model-training settings, and the contract—not only the marketing page.
Test the real handoffs, permissions, failure states, and export path your team depends on.
Review starting point: Playwright, Selenium, OpenAI Computer Use, Claude Computer Use, Browser Use, CrewAI
Record training, governance, reliability, accessibility, ownership, and change-management risks before rollout.
Review starting point: Authenticated browser state creates significant security risk; Multiple meters can produce surprise costs; Entry sessions and retention are deliberately limited
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Evaluation
Research-based
Price posture
From $0/month
Reviewed
2026-09-09
No authentic product screenshot is published for this review. DiscoverAI does not use generated interface images as product evidence.
Steel Launch is $0 plus usage with $30 in one-time credits valid for 90 days, ten concurrent sessions, and 15-minute sessions. Listed Launch rates include $0.10 per browser hour, $10 per GB of proxy bandwidth, $3 per 1,000 CAPTCHA solves, and $5 per 1,000 one-shot browser-tool calls. Scale is $250 monthly plus usage with $100 monthly credits, 100 concurrent sessions, one-hour sessions, and lower browser, proxy, and CAPTCHA rates. Enterprise is custom. Browser time is billed by the minute and rounded up. Reviewed September 9, 2026.
Free plan: Launch has no monthly fee and includes time-limited one-time credits; proxies or CAPTCHA solving require a $10 paid-balance verification deposit that applies toward usage.
Editorial freshness
Pricing and material product claims were checked September 9, 2026.
Community evidence
Structured, editor-moderated experience—not star ratings. This complements our independent review and never changes its score.
No approved community evidence yet. Be the first verified user to contribute.
Steel provides managed or self-hosted browsers for AI agents, including sessions, profiles, proxies, CAPTCHA handling, credentials, replay, and one-shot browser tools.
Launch is $0 plus usage with one-time credits, Scale is $250 monthly plus usage and monthly credits, and Enterprise is custom.
Yes. Steel describes its core browser sessions product as open source and offers a Docker-based self-hosting path alongside its managed cloud.
Its beta Credentials API is designed to inject passwords and TOTP codes without exposing raw values, but authenticated sessions still need strict action permissions and isolation.
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