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Rank #7 of 7 in Browser Automation for Agents

Smooth logo

Smooth

YC F24 Built-in AI assistant

Circlemind Inc. · commercial

smooth.sh ↗Try it →
PA Score16/100AGENT-READY26/100BUILT-IN AI53/100API0/100
MCP—CLI✓API~
★ 19▲ 18/yr
ArenasBrowser Automation for Agents#7/7

Access

Open app ↗API docs ↗CLI docs ↗

Install

pippip install smooth-py
npmnpm install @circlemind-ai/smooth-ts

Compare head-to-head

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Alternatives to Smooth →

Try itExperimental

See what an agent can do with Smooth before you ever sign up. Pick a story: recorded sessions replay real probe-harness transcripts; commands tagged live-capable can re-run against the real endpoint from our edge, right now (▶ run live — the exact same request, live and recorded lines always labeled); sandboxed self-drive sessions are designed and gated (docs/TRY-IT.md).

$curl -s https://docs.smooth.sh/llms.txt | head -6recorded session — replayed, not live
recorded 2026-09-14 · exit 0 · captured verbatim by our probe harness, secrets redacted · pure-HTTP probe — ▶ run live re-runs it from our edge

Verified integrations

No integration evidence found in our corpus for this product yet — that means none was found, never that it doesn’t integrate.

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

11.3/100

Agenticness — how well agents can access and operate the productAgenticnessevidence →

How well agents can access and operate the product

26.4/100

Auth session persistence — stories about auth session persistence in this arenaAuth session persistenceevidence →

Stories about auth session persistence in this arena

30.0/100

Automation depth — how much of the product can run unattendedAutomation depthevidence →

How much of the product can run unattended

0.0/100

Deployment modes — stories about deployment modes in this arenaDeployment modesevidence →

Stories about deployment modes in this arena

0.0/100

Framework model support — stories about framework model support in this arenaFramework model supportevidence →

Stories about framework model support in this arena

0.0/100

Nl task execution — stories about nl task execution in this arenaNl task executionevidence →

Stories about nl task execution in this arena

45.4/100

Openness — open source, data portability, and self-hosting storiesOpennessevidence →

Open source, data portability, and self-hosting stories

0.0/100

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

0.0/100

Privacy posture — data-handling and privacy storiesPrivacy postureevidence →

Data-handling and privacy stories

14.7/100

Replay debugging — stories about replay debugging in this arenaReplay debuggingevidence →

Stories about replay debugging in this arena

21.0/100

Scale parallelism — running many jobs at once — concurrency, fleets, queueingScale parallelismevidence →

Running many jobs at once — concurrency, fleets, queueing

0.0/100

Stealth captcha — stories about stealth captcha in this arenaStealth captchaevidence →

Stories about stealth captcha in this arena

36.0/100

Structured extraction — stories about structured extraction in this arenaStructured extractionevidence →

Stories about structured extraction in this arena

60.0/100

Story verdicts — every judged story with its evidenceStory verdicts

What’s free: 0 free · 0 paid · 2 enterprise · 18 not stated in evidence

?

Sorted by importance (agentic first) (high → low) · 52/52 stories · click a row’s chevron for the rationale and evidence

Delegate tasks to a built-in AI assistant inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness3full8/10X

Drive the product through a documented public API G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3partial6/10T

Connect an agent via an official MCP server G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3none0/10

Plug MCP servers into this product so it can use their tools G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3none0/10

Point an agent at llms.txt or agent-oriented docs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full8/10T

Use an official CLI G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full7/10T

Build against official SDKs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial6/10T

Operate the product with natural-language commands G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial6/10C

Run the product headlessly / in CI for automation G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial6/10T

Set up automations that run autonomously in the background G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial5/10C

Download a machine-readable API spec (OpenAPI or equivalent) G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Explore an interactive API reference with runnable examples G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Get AI-generated insights and suggestions from my data inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2n/a0/10

Rely on versioned APIs with a documented deprecation policy G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Issue scoped/least-privilege API credentials for an agent G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2noneuntestednone yet

Subscribe to events via webhooks G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2noneuntestednone yet

Test against a sandbox environment without touching production data G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness1noneuntestednone yet

Extract typed, schema-validated data (Zod/Pydantic-style) from pages the agent visits, not just raw text C

Extraction

developerStructured extraction — stories about structured extraction in this arenaStructured extraction3full8/10C

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

developerNl task execution — stories about nl task execution in this arenaNl task execution3full7/10X

Persist logged-in browser state in reusable profiles so agents skip the login wall on every subsequent run C

Profiles

developerAuth session persistence — stories about auth session persistence in this arenaAuth session persistence3full7/10C

Drive the page through DOM-understanding action primitives (act/click/type on described elements) that survive selector and layout changes C

Dom

developerAction primitives — stories about action primitives in this arenaAction primitives3partial5/10X

Prevent my data from being used to train AI models G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture3partialenterprise4/10X

Export all of my data in open formats and leave G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3none0/10

Self-host the core product G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3none0/10

Define rules that trigger actions automatically on events G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth3n/auntestednone yet

Rely on a documented captcha stance — automatic solving, human fallback, or explicit non-support — instead of silent task failures C

Captcha

automation-engineerStealth captcha — stories about stealth captcha in this arenaStealth captcha2full6/10X

Control data retention and deletion G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2partialenterprise5/10X

Enable stealth fingerprinting and residential or geo-targeted proxies so legitimate automations aren't blocked as bots C

Stealth

automation-engineerStealth captcha — stories about stealth captcha in this arenaStealth captcha2partial5/10X

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 agentNl task execution — stories about nl task execution in this arenaNl task execution2partial5/10T

Compose repeatable multi-step workflows with loops, conditionals, and parameters instead of one-shot prompts C

Workflows

automation-engineerNl task execution — stories about nl task execution in this arenaNl task execution2partial4/10C

Watch a session live and take human control mid-run when the agent gets stuck C

Live

automation-engineerReplay debugging — stories about replay debugging in this arenaReplay debugging2partial4/10C

Debug a failed agent run from recorded replays — video, screenshots, step-by-step action timelines C

Replay

automation-engineerReplay debugging — stories about replay debugging in this arenaReplay debugging2partial3/10C

Bring my own LLM provider — the framework is model-agnostic rather than locked to one vendor's models C

Models

developerFramework model support — stories about framework model support in this arenaFramework model support2none0/10

Cache resolved actions or generated code so repeat runs replay deterministically at lower cost and latency than re-prompting the LLM C

Caching

developerAction primitives — stories about action primitives in this arenaAction primitives2none0/10

Choose where my data is stored (region/residency) G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2none0/10

Connect my existing Playwright, Puppeteer, or CDP automation code to the product's browsers instead of rewriting it C

Compat

developerAuth session persistence — stories about auth session persistence in this arenaAuth session persistence2none0/10

Do everything through the API that I can do in the UI G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2none0/10

Opt out of telemetry and usage tracking G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2none0/10

Perform bulk operations across many items at once G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2none0/10

Plug the browser layer into agent frameworks (Claude Agent SDK, Vercel AI SDK, LangChain, CrewAI) through documented adapters C

Frameworks

developerFramework model support — stories about framework model support in this arenaFramework model support2none0/10

Read the product's source under an open license G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2none0/10

Run a fleet of concurrent browser sessions with documented concurrency limits and programmatic session management C

Fleets

automation-engineerScale parallelism — running many jobs at once — concurrency, fleets, queueingScale parallelism2none0/10

Run the agent against a local browser on my own machine for development, without any cloud account C

Local

developerDeployment modes — stories about deployment modes in this arenaDeployment modes2none0/10

Schedule recurring jobs or workflows G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2none0/10

See transparent per-task or per-browser-hour pricing and documented rate/concurrency limits before committing G

Pricing

developerPricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits2none0/10

Store credentials in a vault and have the agent complete logins including TOTP/2FA challenges without exposing secrets to the model G

Credentials

automation-engineerAuth session persistence — stories about auth session persistence in this arenaAuth session persistence2none0/10

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

developerAction primitives — stories about action primitives in this arenaAction primitives2none0/10

My agent can download files from and upload files to the sites it operates, with the artifacts retrievable afterwards C

Files

developerStructured extraction — stories about structured extraction in this arenaStructured extraction1none0/10

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-engineerStealth captcha — stories about stealth captcha in this arenaStealth captcha1none0/10

Get webhook notifications when tasks and sessions finish instead of polling for status C

Lifecycle

developerScale parallelism — running many jobs at once — concurrency, fleets, queueingScale parallelism1noneuntestednone yet

Preview candidate actions on the current page (observe/plan) before committing the agent to act C

Observe

developerAction primitives — stories about action primitives in this arenaAction primitives1noneuntestednone yet

Version, review, and roll back my automations G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth1n/auntestednone yet

Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 42 stories with headroom

What would move Smooth’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.

  1. 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

    Smooth documents a 'custom tools' feature for arbitrary functions but there is no mention anywhere in docs, GitHub, or community discussion of MCP server support or integration, so this applicable capability is unevidenced.

  2. Agenticness — how well agents can access and operate the productConnect an agent via an official MCP server

    nonemoves agent-readyimpact 45

    Smooth is a browser-automation SDK/CLI used by agents like Claude Code, but the evidence pack contains no mention of an official MCP server or MCP protocol integration anywhere in its docs, GitHub repo, or community discussion — only generic SDK/CLI methods and custom tool functions are documented.

  3. Openness — open source, data portability, and self-hosting storiesExport all of my data in open formats and leave

    nonemoves PA Scoreimpact 30

    Missing: any documented export mechanism, open format specification, or user data portability tooling.

  4. Openness — open source, data portability, and self-hosting storiesSelf-host the core product

    nonemoves PA Scoreimpact 30

    Smooth is offered only as a hosted cloud API/SaaS with no documented self-host option, and community feedback explicitly requests self-hosting as a missing capability ('Make it self-hostable, the conversation can change').

  5. Agenticness — how well agents can access and operate the productIssue scoped/least-privilege API credentials for an agent

    nonemoves agent-readyimpact 30

    Missing: scoped API key/token generation, permission/role controls, credential revocation or least-privilege access management.

  6. Agenticness — how well agents can access and operate the productSubscribe to events via webhooks

    nonemoves agent-readyimpact 30

    No evidence pack item mentions webhooks or event subscriptions; Smooth's documented features (live_url, structured outputs, custom tools, sessions) do not include a webhook/event notification mechanism.

  7. Agenticness — how well agents can access and operate the productExplore an interactive API reference with runnable examples

    nonemoves API qualityimpact 30

    The evidence pack shows only static markdown docs (llms.txt, feature pages) and explicitly shows the openapi.json/swagger endpoints returning 404, indicating no interactive API reference or runnable-example playground exists.

  8. Agenticness — how well agents can access and operate the productDownload a machine-readable API spec (OpenAPI or equivalent)

    nonemoves API qualityimpact 30

    A direct probe for OpenAPI/Swagger spec files at all standard paths returned 404, and no docs page references a downloadable machine-readable API spec; only an llms.txt (docs index) is available.

Showing the top 8 of 42 — 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 map8 surfaces · 20 covered stories

Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.

Features docs13 stories

Methods docs13 stories

docs.smooth.sh9 stories

Hacker News8 stories

CLI docs5 stories

GitHub README5 stories

OpenAPI spec3 stories

llms.txt2 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 -s https://docs.smooth.sh/llms.txt | head -6reproduced
$ curl -s https://docs.smooth.sh/llms.txt | head -6
# Smooth

## Docs

- [Introduction](https://docs.smooth.sh/index.md): Welcome to Smooth
- [Quickstart](https://docs.smooth.sh/quickstart.md): Running your first task
proves: Point an agent at llms.txt or agent-oriented docsrecorded 2026-09-14
$curl -s https://docs.smooth.sh/api-reference/openapi.json | head -c 200reproduced
$ curl -s https://docs.smooth.sh/api-reference/openapi.json | head -c 200
{

  "openapi": "3.1.0",

  "servers": [

    {

      "url": "https://api.smooth.sh/api/v1"

    }

  ],

  "info": {

    "title": "Smooth",

    "version": "0.4.1",

    "description": "# Introduct
proves: Download a machine-readable API spec (OpenAPI or equivalent)proves: Drive the product through a documented public APIproves: Submit a browser task over a hosted HTTP API and receive the result by polling or webhook, without managing any browser myselfrecorded 2026-09-14
$mktemp -d && uv venv && uv pip install smooth-py && python -c "print('PA_PROBE_OK smooth-py', version('smooth-py'))" && smooth --helpreproduced
$ mktemp -d && uv venv && uv pip install smooth-py && python -c "print('PA_PROBE_OK smooth-py', version('smooth-py'))" && smooth --help
PA_PROBE_OK smooth-py 0.4.5
usage: smooth [-h]
              {config,create-profile,list-profiles,delete-profile,upload-file,delete-file,start-session,close-session,run,goto,live-view,downloads,extract,evaluate-js} ...

Browser automation for AI agents

positional arguments:
  {config,create-profile,list-profiles,delete-profile,upload-file,delete-file,start-session,close-session,run,goto,live-view,downloads,extract,evaluate-js}
                        Available commands
proves: Build against official SDKsproves: Use an official CLIrecorded 2026-09-14

Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence

5 of 11 testable claims verified · 2 contradicted → integrity 9/100

12 distinct capability claims found in Smooth’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.

5

Verified

4

Unverified

2

Contradicted

11

Undersold

Verified (5)
Unverified (4)
Contradicted (2)
Undersold (11)
Claims outside our story set (1)

Real capability claims found in Smooth’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.

  • “Lets you register custom arbitrary functions as tools for the agent”

    source ↗
Suggest a story for these →

Business model

free-tiersubscriptionusage-basedenterprise-custom

Credit-based hosted browser-agent API: Free ($5 credits, no card), Starter $50/mo, Growth $500/mo, metered at $0.005 per agent step; Enterprise adds single-tenant, BYOC, and BAAs.

pricing ↗

Score trend

How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.

PA Scoretracked since Sep 14 '26 — no movement recorded yet
Agent-readytracked since Sep 14 '26 — no movement recorded yet

Try Experimental

Run it in the microterminal →

Recorded agent sessions — and a live MCP handshake where the vendor ships one.

Flag

⚑ Flag a verdict

Think a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.

Badge

Embed this product's score badge →

Hotlinked SVG — always shows the live current score.

For agents

This page as markdown/llms.txt

Data

Evidence (JSON)Verdicts (JSON)