Eval directory
Evals for Browserbase
13 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Browserbase AI products.
About Browserbase
Browserbase provides cloud headless-browser infrastructure for AI agents — managed Chromium sessions with stealth mode, captcha handling, proxies, session persistence, live debugging, and the Stagehand SDK for act/extract/observe automation.
How complete this published benchmark library is across datasets, metrics, rubrics, use-case maps, and pack context. This is library coverage, not an agent performance score.
Test datasets
8/13 packs
Scoring metrics
0/13 packs
Judge rubrics
13/13 packs
Use-case maps
0/13 packs
Pack context
13/13 packs
Available eval packs for Browserbase
13 packs ready to run.
Captcha Handling
Evaluates Browserbase's Captcha Handling across scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Browser infrastructure eval coverage.
Concurrency Rate Limits
Evaluates Browserbase's Concurrency & Rate Limits across scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Browser infrastructure eval coverage.
Live Debugging Session Inspector
Evaluates Browserbase's Live Debugging & Session Inspector across scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Browser infrastructure eval coverage.
Proxy Geo Routing
Evaluates Browserbase's Proxy & Geo Routing across scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Browser infrastructure eval coverage.
Stealth Fingerprinting
Evaluates Browserbase's Stealth & Fingerprinting across scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Browser infrastructure eval coverage.
Auth And Concurrency
Evaluates Browserbase's Auth & Concurrency across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Browser Infrastructure for AI Agents eval coverage.
Live View Debug And Recordings
Evaluates Browserbase's Live View / Debug & Recordings across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Browser Infrastructure for AI Agents eval coverage.
Page Automation Primitives
Evaluates Browserbase's Page Automation Primitives across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Browser Infrastructure for AI Agents eval coverage.
Safety Consent And Governance
Evaluates Browserbase's Safety, Consent & Governance across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Browser Infrastructure for AI Agents eval coverage.
Session Lifecycle
Evaluates Browserbase's Session Lifecycle across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Browser Infrastructure for AI Agents eval coverage.
Session Persistence And Recovery
Evaluates Browserbase's Session Persistence & Recovery across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Browser Infrastructure for AI Agents eval coverage.
Stagehand Act Extract Observe
Evaluates Browserbase's act / extract / observe across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Browser Infrastructure for AI Agents eval coverage.
Stealth And Anti Bot
Evaluates Browserbase's Stealth & Anti-bot across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Browser Infrastructure for AI Agents eval coverage.
Why eval Browserbase AI
Browserbase's AI features ship behind brand promises about accuracy, safety, and reliability. Buyers and integrators need to know those promises hold up under adversarial prompts, edge-case workflows, and the long tail of real customer inputs — not just the demo path.
The Corsac eval library for Browserbase measures four dimensions teams care about most when deploying code assistant agents:
- Adversarial robustness — does the agent resist prompt injection, jailbreaks, and social-engineering attempts?
- Workflow quality— does it complete the task buyers were shown in the demo, on inputs that don't look like the demo?
- Safety gates — does it escalate or refuse when it should, and only then?
- Operator quality — does it preserve analyst trust by surfacing the right context at the right time?
Every eval pack above is hand-authored against Browserbase's public product surface and runnable in Corsac with your own data.