Rank #2 of 7 in Browser Automation for Agents
Install
pip install skyvernShowcase


Try itExperimental
See what an agent can do with Skyvern before you ever sign up. Pick a story: recorded sessions replay real probe-harness transcripts; sandboxed self-drive sessions are designed and gated (docs/TRY-IT.md).
$curl -si -X POST https://api.skyvern.com/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>'recorded session — replayed, not liveVerified integrations
Connections to other tracked products — hover a chip for the verbatim evidence quote behind it.
By theme — the product's score on each story themeBy theme
Action primitives — stories about action primitives in this arenaAction primitivesevidence →
Stories about action primitives in this arena
Agenticness — how well agents can access and operate the productAgenticnessevidence →
How well agents can access and operate the product
Auth session persistence — stories about auth session persistence in this arenaAuth session persistenceevidence →
Stories about auth session persistence in this arena
Automation depth — how much of the product can run unattendedAutomation depthevidence →
How much of the product can run unattended
Deployment modes — stories about deployment modes in this arenaDeployment modesevidence →
Stories about deployment modes in this arena
Framework model support — stories about framework model support in this arenaFramework model supportevidence →
Stories about framework model support in this arena
Nl task execution — stories about nl task execution in this arenaNl task executionevidence →
Stories about nl task execution in this arena
Openness — open source, data portability, and self-hosting storiesOpennessevidence →
Open source, data portability, and self-hosting stories
Pricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limitsevidence →
Free-tier ceilings, usage caps, and rate limits before you have to pay
Privacy posture — data-handling and privacy storiesPrivacy postureevidence →
Data-handling and privacy stories
Replay debugging — stories about replay debugging in this arenaReplay debuggingevidence →
Stories about replay debugging in this arena
Scale parallelism — running many jobs at once — concurrency, fleets, queueingScale parallelismevidence →
Running many jobs at once — concurrency, fleets, queueing
Stealth captcha — stories about stealth captcha in this arenaStealth captchaevidence →
Stories about stealth captcha in this arena
Structured extraction — stories about structured extraction in this arenaStructured extractionevidence →
Stories about structured extraction in this arena
Story verdicts — every judged story with its evidenceStory verdicts
What’s free: 2 free · 0 paid · 0 enterprise · 29 not stated in evidence
Follow the green: where the map greys out is where Skyvern stops today. ✓ full · ~ partial · ! disputed · — none · n/a not applicable.
Action primitives — stories about action primitives in this arenaAction primitives
Stories about action primitives in this arena
Cache resolved actions or generated code so repeat runs replay deterministically at lower cost and latency than re-prompting the LLM
—0/10
Drive the page through DOM-understanding action primitives (act/click/type on described elements) that survive selector and layout changes
!5/10
Preview candidate actions on the current page (observe/plan) before committing the agent to act
~3/10
Switch to a vision or computer-use action mode that operates on screenshots for canvases and UIs the DOM path can't handle
✓7/10
Agenticness — how well agents can access and operate the productAgenticness
How well agents can access and operate the product
API surface
Drive the product through a documented public API
✓7/10
unlocks → Webhooks · Scoped API keys · Machine-readable spec · Versioning policy · API sandbox · Official CLI · Hand the product a natural-language goal and it completes a multi-step web task end to end — navigating, filling forms, and clicking through flows
Subscribe to events via webhooks
—–
Build against official SDKs
✓7/10
Issue scoped/least-privilege API credentials for an agent
—0/10
Connect an agent via an official MCP server
✓8/10
Download a machine-readable API spec (OpenAPI or equivalent)
—0/10
Rely on versioned APIs with a documented deprecation policy
—0/10
Test against a sandbox environment without touching production data
—–
Explore an interactive API reference with runnable examples
—0/10
Agentic features
Delegate tasks to a built-in AI assistant inside the product
✓7/10
unlocks → MCP client
Operate the product with natural-language commands
✓7/10
Plug MCP servers into this product so it can use their tools
—0/10
Get AI-generated insights and suggestions from my data inside the product
n/an/a
Set up automations that run autonomously in the background
~7/10
Auth session persistence — stories about auth session persistence in this arenaAuth session persistence
Stories about auth session persistence in this arena
Connect my existing Playwright, Puppeteer, or CDP automation code to the product's browsers instead of rewriting it
~5/10
Store credentials in a vault and have the agent complete logins including TOTP/2FA challenges without exposing secrets to the model
✓7/10
Persist logged-in browser state in reusable profiles so agents skip the login wall on every subsequent run
~6/10
Automation depth — how much of the product can run unattendedAutomation depth
How much of the product can run unattended
Deployment modes — stories about deployment modes in this arenaDeployment modes
Stories about deployment modes in this arena
Framework model support — stories about framework model support in this arenaFramework model support
Stories about framework model support in this arena
Nl task execution — stories about nl task execution in this arenaNl task execution
Stories about nl task execution in this arena
Openness — open source, data portability, and self-hosting storiesOpenness
Open source, data portability, and self-hosting stories
Pricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits
Free-tier ceilings, usage caps, and rate limits before you have to pay
Privacy posture — data-handling and privacy storiesPrivacy posture
Data-handling and privacy stories
Replay debugging — stories about replay debugging in this arenaReplay debugging
Stories about replay debugging in this arena
Scale parallelism — running many jobs at once — concurrency, fleets, queueingScale parallelism
Running many jobs at once — concurrency, fleets, queueing
Stealth captcha — stories about stealth captcha in this arenaStealth captcha
Stories about stealth captcha in this arena
Rely on a documented captcha stance — automatic solving, human fallback, or explicit non-support — instead of silent task failures
✓8/10
Point to the vendor's published acceptable-use and anti-abuse posture governing what its stealth and automation features may be used for
—–
Enable stealth fingerprinting and residential or geo-targeted proxies so legitimate automations aren't blocked as bots
—0/10
Structured extraction — stories about structured extraction in this arenaStructured extraction
Stories about structured extraction in this arena
Sorted by importance (agentic first) (high → low) · 52/52 stories · click a row’s chevron for the rationale and evidence
Connect an agent via an official MCP server G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | full | 8/10 | Tprobed | |
Delegate tasks to a built-in AI assistant inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | full | 7/10 | Cclaimed | |
Drive the product through a documented public API G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | full | 7/10 | Tprobed | |
Plug MCP servers into this product so it can use their tools G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | none | 0/10 | ||
Point an agent at llms.txt or agent-oriented docs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 8/10 | Tprobed | |
Build against official SDKs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 7/10 | Tprobed | |
Operate the product with natural-language commands G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 7/10 | Xcommunity | |
Run the product headlessly / in CI for automation G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 7/10 | Cclaimed | |
Set up automations that run autonomously in the background G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 7/10 | Xcommunity | |
Download a machine-readable API spec (OpenAPI or equivalent) G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Explore an interactive API reference with runnable examples G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Issue scoped/least-privilege API credentials for an agent G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Rely on versioned APIs with a documented deprecation policy G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Use an official CLI G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Get AI-generated insights and suggestions from my data inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | n/a | untested | none yet | |
Subscribe to events via webhooks G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | untested | none yet | |
Test against a sandbox environment without touching production data G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 1 | none | untested | none yet | |
Self-host the core product G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | fullfree | 8/10 | Tprobed | |
Extract typed, schema-validated data (Zod/Pydantic-style) from pages the agent visits, not just raw text C Extraction | developer | Structured extraction — stories about structured extraction in this arenaStructured extraction | 3 | full | 7/10 | Cclaimed | |
Persist logged-in browser state in reusable profiles so agents skip the login wall on every subsequent run C Profiles | developer | Auth session persistence — stories about auth session persistence in this arenaAuth session persistence | 3 | partial | 6/10 | Cclaimed | |
Drive the page through DOM-understanding action primitives (act/click/type on described elements) that survive selector and layout changes C Dom | developer | Action primitives — stories about action primitives in this arenaAction primitives | 3 | disputed | 5/10 | Dcontradicted | |
Hand the product a natural-language goal and it completes a multi-step web task end to end — navigating, filling forms, and clicking through flows C Tasks | developer | Nl task execution — stories about nl task execution in this arenaNl task execution | 3 | disputed | 5/10 | Dcontradicted | |
Prevent my data from being used to train AI models G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 3 | partial | 4/10 | Cclaimed | |
Define rules that trigger actions automatically on events G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 3 | partial | 3/10 | Cclaimed | |
Export all of my data in open formats and leave G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | partial | 3/10 | Cclaimed | |
Debug a failed agent run from recorded replays — video, screenshots, step-by-step action timelines C Replay | automation-engineer | Replay debugging — stories about replay debugging in this arenaReplay debugging | 2 | full | 8/10 | Xcommunity | |
Rely on a documented captcha stance — automatic solving, human fallback, or explicit non-support — instead of silent task failures C Captcha | automation-engineer | Stealth captcha — stories about stealth captcha in this arenaStealth captcha | 2 | full | 8/10 | Cclaimed | |
Watch a session live and take human control mid-run when the agent gets stuck C Live | automation-engineer | Replay debugging — stories about replay debugging in this arenaReplay debugging | 2 | full | 8/10 | Cclaimed | |
Store credentials in a vault and have the agent complete logins including TOTP/2FA challenges without exposing secrets to the model G Credentials | automation-engineer | Auth session persistence — stories about auth session persistence in this arenaAuth session persistence | 2 | full | 7/10 | Xcommunity | |
Switch to a vision or computer-use action mode that operates on screenshots for canvases and UIs the DOM path can't handle C Vision | developer | Action primitives — stories about action primitives in this arenaAction primitives | 2 | full | 7/10 | Cclaimed | |
Bring my own LLM provider — the framework is model-agnostic rather than locked to one vendor's models C Models | developer | Framework model support — stories about framework model support in this arenaFramework model support | 2 | partial | 6/10 | Cclaimed | |
Do everything through the API that I can do in the UI G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | partial | 6/10 | Tprobed | |
Run the agent against a local browser on my own machine for development, without any cloud account C Local | developer | Deployment modes — stories about deployment modes in this arenaDeployment modes | 2 | partial | 6/10 | Cclaimed | |
Choose where my data is stored (region/residency) G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | partial | 5/10 | Cclaimed | |
Compose repeatable multi-step workflows with loops, conditionals, and parameters instead of one-shot prompts C Workflows | automation-engineer | Nl task execution — stories about nl task execution in this arenaNl task execution | 2 | partial | 5/10 | Cclaimed | |
Connect my existing Playwright, Puppeteer, or CDP automation code to the product's browsers instead of rewriting it C Compat | developer | Auth session persistence — stories about auth session persistence in this arenaAuth session persistence | 2 | partial | 5/10 | Cclaimed | |
Submit a browser task over a hosted HTTP API and receive the result by polling or webhook, without managing any browser myself C Tasks | ai agent | Nl task execution — stories about nl task execution in this arenaNl task execution | 2 | partial | 5/10 | Tprobed | |
Control data retention and deletion G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | partial | 4/10 | Xcommunity | |
Read the product's source under an open license G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | disputedfree | 4/10 | Dcontradicted | |
Cache resolved actions or generated code so repeat runs replay deterministically at lower cost and latency than re-prompting the LLM C Caching | developer | Action primitives — stories about action primitives in this arenaAction primitives | 2 | none | 0/10 | ||
Enable stealth fingerprinting and residential or geo-targeted proxies so legitimate automations aren't blocked as bots C Stealth | automation-engineer | Stealth captcha — stories about stealth captcha in this arenaStealth captcha | 2 | none | 0/10 | ||
Plug the browser layer into agent frameworks (Claude Agent SDK, Vercel AI SDK, LangChain, CrewAI) through documented adapters C Frameworks | developer | Framework model support — stories about framework model support in this arenaFramework model support | 2 | none | 0/10 | ||
Run a fleet of concurrent browser sessions with documented concurrency limits and programmatic session management C Fleets | automation-engineer | Scale parallelism — running many jobs at once — concurrency, fleets, queueingScale parallelism | 2 | none | 0/10 | ||
See transparent per-task or per-browser-hour pricing and documented rate/concurrency limits before committing G Pricing | developer | Pricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits | 2 | none | 0/10 | ||
Opt out of telemetry and usage tracking G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | untested | none yet | |
Perform bulk operations across many items at once G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | none | untested | none yet | |
Schedule recurring jobs or workflows G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | none | untested | none yet | |
My agent can download files from and upload files to the sites it operates, with the artifacts retrievable afterwards C Files | developer | Structured extraction — stories about structured extraction in this arenaStructured extraction | 1 | partial | 5/10 | Cclaimed | |
Preview candidate actions on the current page (observe/plan) before committing the agent to act C Observe | developer | Action primitives — stories about action primitives in this arenaAction primitives | 1 | partial | 3/10 | Xcommunity | |
Get webhook notifications when tasks and sessions finish instead of polling for status C Lifecycle | developer | Scale parallelism — running many jobs at once — concurrency, fleets, queueingScale parallelism | 1 | none | untested | none yet | |
Point to the vendor's published acceptable-use and anti-abuse posture governing what its stealth and automation features may be used for C Posture | automation-engineer | Stealth captcha — stories about stealth captcha in this arenaStealth captcha | 1 | none | untested | none yet | |
Version, review, and roll back my automations G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 1 | none | untested | none yet |
Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 34 stories with headroom
What would move Skyvern’s scores — derived from its own judged verdicts, biggest headroom first. Each line quotes what the judge found missing; shipping it (or evidencing it publicly) is the fix.
Agenticness — how well agents can access and operate the productPlug MCP servers into this product so it can use their tools
nonemoves agent-readyimpact 45
Evidence only shows Skyvern exposing an MCP *server* so external AI assistants (Claude, Cursor, etc.) can control Skyvern's browser — the reverse of the story, which asks whether Skyvern can consume external MCP servers' tools as a client.
Agenticness — how well agents can access and operate the productUse an official CLI
nonemoves agent-readyimpact 30
Missing: any documented CLI command, npm/pip CLI package, or terminal-based interface.
Agenticness — how well agents can access and operate the productIssue scoped/least-privilege API credentials for an agent
nonemoves agent-readyimpact 30
Missing: any documentation of scoped API tokens, role-based access control, or least-privilege credential management for agents.
Agenticness — how well agents can access and operate the productSubscribe to events via webhooks
nonemoves agent-readyimpact 30
No evidence in the pack mentions webhooks or event subscriptions of any kind; Skyvern's documented integration surfaces are REST/SDK APIs, Zapier, and an MCP server, none of which constitute a webhook subscription mechanism.
Agenticness — how well agents can access and operate the productExplore an interactive API reference with runnable examples
nonemoves API qualityimpact 30
Evidence shows only static docs describing SDKs and REST usage, with no interactive API reference or runnable-example explorer; probes explicitly found no OpenAPI/Swagger spec at any candidate path (404s), indicating no interactive reference exists.
Agenticness — how well agents can access and operate the productDownload a machine-readable API spec (OpenAPI or equivalent)
nonemoves API qualityimpact 30
Skyvern offers a REST API (skyvern-docs-1) but a direct probe for OpenAPI/swagger specs at standard paths returned 404 across all candidates, and no docs mention a downloadable machine-readable spec.
Agenticness — how well agents can access and operate the productRely on versioned APIs with a documented deprecation policy
nonemoves API qualityimpact 30
Missing: versioned API endpoints (e.g., /v1/), a published deprecation/support policy, and changelog documentation.
Automation depth — how much of the product can run unattendedDefine rules that trigger actions automatically on events
partialq3/10moves PA Scoreimpact 21
Missing: documented native event triggers or webhook listeners, schedule-based triggers, and any conditional rule engine inside Skyvern's workflow builder.
Showing the top 8 of 34 — every none/partial verdict in the story verdicts table is headroom.
Think a verdict is wrong? Every verdicts-table row has a Flag link — see the methodology.
Coverage map — which docs area, API section, or community source covers which judged storiesCoverage map9 surfaces · 32 covered stories
Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.
docs31 stories
- Drive the page through DOM-understanding action primitives (act/click/type on described elements) that survive selector and layout changes
- Preview candidate actions on the current page (observe/plan) before committing the agent to act
- Switch to a vision or computer-use action mode that operates on screenshots for canvases and UIs the DOM path can't handle
- Point an agent at llms.txt or agent-oriented docs
- Run the product headlessly / in CI for automation
- Connect an agent via an official MCP server
- Drive the product through a documented public API
- Build against official SDKs
- Set up automations that run autonomously in the background
- Delegate tasks to a built-in AI assistant inside the product
- Operate the product with natural-language commands
- Connect my existing Playwright, Puppeteer, or CDP automation code to the product's browsers instead of rewriting it
- Store credentials in a vault and have the agent complete logins including TOTP/2FA challenges without exposing secrets to the model
- Persist logged-in browser state in reusable profiles so agents skip the login wall on every subsequent run
- Define rules that trigger actions automatically on events
- Run the agent against a local browser on my own machine for development, without any cloud account
- Bring my own LLM provider — the framework is model-agnostic rather than locked to one vendor's models
- Submit a browser task over a hosted HTTP API and receive the result by polling or webhook, without managing any browser myself
- Hand the product a natural-language goal and it completes a multi-step web task end to end — navigating, filling forms, and clicking through flows
- Compose repeatable multi-step workflows with loops, conditionals, and parameters instead of one-shot prompts
- Do everything through the API that I can do in the UI
- Export all of my data in open formats and leave
- Self-host the core product
- Choose where my data is stored (region/residency)
- Prevent my data from being used to train AI models
- Control data retention and deletion
- Watch a session live and take human control mid-run when the agent gets stuck
- Debug a failed agent run from recorded replays — video, screenshots, step-by-step action timelines
- Rely on a documented captcha stance — automatic solving, human fallback, or explicit non-support — instead of silent task failures
- Extract typed, schema-validated data (Zod/Pydantic-style) from pages the agent visits, not just raw text
- My agent can download files from and upload files to the sites it operates, with the artifacts retrievable afterwards
Hacker News10 stories
- Drive the page through DOM-understanding action primitives (act/click/type on described elements) that survive selector and layout changes
- Preview candidate actions on the current page (observe/plan) before committing the agent to act
- Set up automations that run autonomously in the background
- Operate the product with natural-language commands
- Store credentials in a vault and have the agent complete logins including TOTP/2FA challenges without exposing secrets to the model
- Hand the product a natural-language goal and it completes a multi-step web task end to end — navigating, filling forms, and clicking through flows
- Read the product's source under an open license
- Self-host the core product
- Control data retention and deletion
- Debug a failed agent run from recorded replays — video, screenshots, step-by-step action timelines
GitHub README6 stories
- Drive the page through DOM-understanding action primitives (act/click/type on described elements) that survive selector and layout changes
- Switch to a vision or computer-use action mode that operates on screenshots for canvases and UIs the DOM path can't handle
- Delegate tasks to a built-in AI assistant inside the product
- Hand the product a natural-language goal and it completes a multi-step web task end to end — navigating, filling forms, and clicking through flows
- Compose repeatable multi-step workflows with loops, conditionals, and parameters instead of one-shot prompts
- Read the product's source under an open license
OpenAPI spec5 stories
- Point an agent at llms.txt or agent-oriented docs
- Drive the product through a documented public API
- Build against official SDKs
- Submit a browser task over a hosted HTTP API and receive the result by polling or webhook, without managing any browser myself
- Do everything through the API that I can do in the UI
Developers docs5 stories
- Drive the page through DOM-understanding action primitives (act/click/type on described elements) that survive selector and layout changes
- Switch to a vision or computer-use action mode that operates on screenshots for canvases and UIs the DOM path can't handle
- Build against official SDKs
- Operate the product with natural-language commands
- Connect my existing Playwright, Puppeteer, or CDP automation code to the product's browsers instead of rewriting it
Llms docs5 stories
- Point an agent at llms.txt or agent-oriented docs
- Delegate tasks to a built-in AI assistant inside the product
- Operate the product with natural-language commands
- Compose repeatable multi-step workflows with loops, conditionals, and parameters instead of one-shot prompts
- Do everything through the API that I can do in the UI
llms.txt3 stories
Pricing docs2 stories
Probe proofs — replayable recordings from the probe harnessProbe proofs
Replayable recordings from our probe harness — see the Prove-It protocol to submit one.
$curl -si -X POST https://api.skyvern.com/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>'reproduced$ curl -si -X POST https://api.skyvern.com/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>'
HTTP/2 401
date: Sat, 05 Sep 2026 01:14:54 GMT
content-type: application/json
content-length: 291
set-cookie: AWSALB=nTUpYIpFlHgwlQJKvT98WAFsTxb/WDSd4RuXF5Sk3Z0B0LbVi9Pw+v57Y2tQ77ZfGfZixha4PsvbWQrByBYZ8H5Er+nGW/gmHUCgFXlse0P5FOq2AQynwWZeJMJf; Expires=Sat, 12 Sep 2026 01:14:54 GMT; Path=/
set-cookie: AWSALBCORS=nTUpYIpFlHgwlQJKvT98WAFsTxb/WDSd4RuXF5Sk3Z0B0LbVi9Pw+v57Y2tQ77ZfGfZixha4PsvbWQrByBYZ8H5Er+nGW/gmHUCgFXlse0P5FOq2AQynwWZeJMJf; Expires=Sat, 12 Sep 2026 01:14:54 GMT; Path=/; SameSite=None; Secure
server: uvicorn
www-authenticate: Bearer realm="mcp", resource_metadata="https://api.skyvern.com/.well-known/oauth-protected-resource/mcp"
access-control-expose-headers: WWW-Authenticate
ratelimit-policy: "submit-run";q=50;w=60
x-frame-options: DENY
content-security-policy: frame-ancestors 'none'
{"error":{"code":"UNAUTHORIZED","message":"Missing credentials. Use an API [redacted] from https://app.skyvern.com Settings (Claude Desktop: Settings -> Extensions -> Skyvern -> Configure) or connect with an OAuth-capable client. Docs: https://www.skyvern.com/docs/developers/getting-started/mcp"}}
$mktemp -d && uv venv && uv pip install skyvern && skyvern --helpreproduced$ mktemp -d && uv venv && uv pip install skyvern && skyvern --help PA_PROBE_OK skyvern 1.0.48 Usage: skyvern [OPTIONS] COMMAND [ARGS]... Skyvern CLI Manage and run your local Skyvern environment. ╭─ Options ────────────────────────────────────────────────────────────────────╮ │ --install-completion Install completion for the current shell. │ │ --show-completion Show completion for the current shell, to copy │
Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence
6 of 14 testable claims verified · 1 contradicted → integrity 29/100
14 distinct capability claims found in Skyvern’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.
6
Verified
7
Unverified
1
Contradicted
16
Undersold
Verified (6)
“Provides Python, TypeScript, and REST SDKs to integrate browser automation into your own product”
“Provides Python, TypeScript, and REST SDKs to integrate browser automation into your own product”
Drive the product through a documented public APIfullproof ↗
“Can be self-hosted entirely on your own servers and browsers using your own LLM API keys”
“Ships an MCP server so AI assistants like Claude Desktop, Cursor, and Windsurf can control a browser”
“Handles logins including stored credentials, TOTP/2FA, email/SMS verification, magic links, and password manager integrations”
Store credentials in a vault and have the agent complete logins including TOTP/2FA challenges without exposing secrets to the modelfullproof ↗
“Every run automatically captures session recordings, screenshots, AI reasoning, and network traffic for later review”
Debug a failed agent run from recorded replays — video, screenshots, step-by-step action timelinesfullproof ↗
Unverified (7)
“Can be self-hosted entirely on your own servers and browsers using your own LLM API keys”
Bring my own LLM provider — the framework is model-agnostic rather than locked to one vendor's modelspartialproof ↗
“Can extract structured, schema-validated data from any page via a JSON schema”
Extract typed, schema-validated data (Zod/Pydantic-style) from pages the agent visits, not just raw textfullproof ↗
“SDK connects to a cloud Chromium instance over CDP and layers Playwright on top for code-first automation”
Connect my existing Playwright, Puppeteer, or CDP automation code to the product's browsers instead of rewriting itpartialproof ↗
“Detects and automatically solves CAPTCHAs (reCAPTCHA, hCaptcha, Turnstile, FunCaptcha, MTCaptcha, text CAPTCHAs) via a vision model”
Rely on a documented captcha stance — automatic solving, human fallback, or explicit non-support — instead of silent task failuresfullproof ↗
“Supports human-in-the-loop pauses for approval and a live VNC stream to watch or take over a running session”
Watch a session live and take human control mid-run when the agent gets stuckfullproof ↗
“Can log into vendor portals, locate invoices, and download PDF files, with artifacts retrievable afterward”
My agent can download files from and upload files to the sites it operates, with the artifacts retrievable afterwardspartialproof ↗
“Operates on previously unseen websites by mapping visual page elements to actions without site-specific custom code”
Switch to a vision or computer-use action mode that operates on screenshots for canvases and UIs the DOM path can't handlefullproof ↗
Contradicted (1)
“Can automate job application forms (auto-fill and submit) on ATS platforms like Lever and Greenhouse”
Hand the product a natural-language goal and it completes a multi-step web task end to end — navigating, filling forms, and clicking through flowsdisputedproof ↗
Undersold (16)
Preview candidate actions on the current page (observe/plan) before committing the agent to actpartialproof ↗
Point an agent at llms.txt or agent-oriented docsfullproof ↗
Run the product headlessly / in CI for automationfullproof ↗
Set up automations that run autonomously in the backgroundpartialproof ↗
Delegate tasks to a built-in AI assistant inside the productfullproof ↗
Operate the product with natural-language commandsfullproof ↗
Persist logged-in browser state in reusable profiles so agents skip the login wall on every subsequent runpartialproof ↗
Define rules that trigger actions automatically on eventspartialproof ↗
Run the agent against a local browser on my own machine for development, without any cloud accountpartialproof ↗
Submit a browser task over a hosted HTTP API and receive the result by polling or webhook, without managing any browser myselfpartialproof ↗
Compose repeatable multi-step workflows with loops, conditionals, and parameters instead of one-shot promptspartialproof ↗
Do everything through the API that I can do in the UIpartialproof ↗
Export all of my data in open formats and leavepartialproof ↗
Choose where my data is stored (region/residency)partialproof ↗
Prevent my data from being used to train AI modelspartialproof ↗
Claims outside our story set (2)
Real capability claims found in Skyvern’s own materials, but no story in this arena’s taxonomy covers them yet — that’s feedback on the taxonomy, not a mark against the product.
“Cloud UI dashboard lets you build and run automations visually with drag-and-drop blocks, no code required”
source ↗“Offers a Zapier integration to connect automations with other apps”
source ↗
Business model
AGPL-3.0 open-source core you can self-host; Skyvern Cloud is priced per task-step usage with a free starting credit and enterprise plans for managed scale.
pricing ↗Score trend
How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.
Try Experimental
Run it in the microterminal →Recorded agent sessions — and a live MCP handshake where the vendor ships one.
Flag
⚑ Flag a verdictThink a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.
For agents
Agent surface uptime MCP 100% · llms.txt 100% (30d, checked every 6h since Sep 8 '26)
