Rank #2 of 6 in Workflow Automation
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See what an agent can do with n8n 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).
$n8n --versionrecorded 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
Agenticness — how well agents can access and operate the productAgenticnessevidence →
How well agents can access and operate the product
Ai workflows — AI in the engine loop — agent-driven editors, copilots, codegen-friendly APIs, runtime inferenceAi workflowsevidence →
AI in the engine loop — agent-driven editors, copilots, codegen-friendly APIs, runtime inference
Automation depth — how much of the product can run unattendedAutomation depthevidence →
How much of the product can run unattended
Code extensibility — stories about code extensibility in this arenaCode extensibilityevidence →
Stories about code extensibility in this arena
Collaboration governance — stories about collaboration governance in this arenaCollaboration governanceevidence →
Stories about collaboration governance in this arena
Connectors ecosystem — stories about connectors ecosystem in this arenaConnectors ecosystemevidence →
Stories about connectors ecosystem in this arena
Deployment embedding — stories about deployment embedding in this arenaDeployment embeddingevidence →
Stories about deployment embedding in this arena
Openness — open source, data portability, and self-hosting storiesOpennessevidence →
Open source, data portability, and self-hosting stories
Privacy posture — data-handling and privacy storiesPrivacy postureevidence →
Data-handling and privacy stories
Reliability errors — stories about reliability errors in this arenaReliability errorsevidence →
Stories about reliability errors in this arena
Triggers scheduling — stories about triggers scheduling in this arenaTriggers schedulingevidence →
Stories about triggers scheduling in this arena
Visual builder — stories about visual builder in this arenaVisual builderevidence →
Stories about visual builder in this arena
Story verdicts — every judged story with its evidenceStory verdicts
What’s free: 4 free · 5 paid · 0 enterprise · 31 not stated in evidence
Follow the green: where the map greys out is where n8n stops today. ✓ full · ~ partial · ! disputed · — none · n/a not applicable.
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
~6/10
unlocks → Machine-readable spec · Versioning policy · Install community-built nodes, components, or integrations contributed outside the vendor
Subscribe to events via webhooks
✓8/10
Build against official SDKs
~3/10
Issue scoped/least-privilege API credentials for an agent
~4/10
Connect an agent via an official MCP server
✓7/10
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
~3/10
Explore an interactive API reference with runnable examples
—0/10
Docs for agents
Point an agent at llms.txt or agent-oriented docs
✓8/10
Agentic features
Delegate tasks to a built-in AI assistant inside the product
—–
Operate the product with natural-language commands
—0/10
Plug MCP servers into this product so it can use their tools
✓8/10
Get AI-generated insights and suggestions from my data inside the product
~6/10
Set up automations that run autonomously in the background
✓8/10
Ai workflows — AI in the engine loop — agent-driven editors, copilots, codegen-friendly APIs, runtime inferenceAi workflows
AI in the engine loop — agent-driven editors, copilots, codegen-friendly APIs, runtime inference
Automation depth — how much of the product can run unattendedAutomation depth
How much of the product can run unattended
Automation depth
Define rules that trigger actions automatically on events
✓8/10
unlocks → Generate or edit a workflow from a natural-language prompt · Run workflows on cron-style schedules with timezone control
Schedule recurring jobs or workflows
~5/10
Perform bulk operations across many items at once
~4/10
Version, review, and roll back my automations
~6/10
Code extensibility — stories about code extensibility in this arenaCode extensibility
Stories about code extensibility in this arena
Collaboration governance — stories about collaboration governance in this arenaCollaboration governance
Stories about collaboration governance in this arena
Connectors ecosystem — stories about connectors ecosystem in this arenaConnectors ecosystem
Stories about connectors ecosystem in this arena
Deployment embedding — stories about deployment embedding in this arenaDeployment embedding
Stories about deployment embedding in this arena
Openness — open source, data portability, and self-hosting storiesOpenness
Open source, data portability, and self-hosting stories
Privacy posture — data-handling and privacy storiesPrivacy posture
Data-handling and privacy stories
Reliability errors — stories about reliability errors in this arenaReliability errors
Stories about reliability errors in this arena
Durability
Error handling
Inspect past execution logs and re-run a failed execution, resuming from the failing step
~5/10
Triggers scheduling — stories about triggers scheduling in this arenaTriggers scheduling
Stories about triggers scheduling in this arena
Visual builder — stories about visual builder in this arenaVisual builder
Stories about visual builder in this arena
Sorted by importance (agentic first) (high → low) · 56/56 stories · click a row’s chevron for the rationale and evidence
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 | full | 8/10 | Tprobed | |
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 | 7/10 | Tprobed | |
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 | partial | 6/10 | 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 | none | untested | none yet | |
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 | |
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 | full | 8/10 | Xcommunity | |
Subscribe to events via webhooks G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 8/10 | Tprobed | |
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 | Tprobed | |
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 | partial | 6/10 | Cclaimed | |
Use an official CLI G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 6/10 | Tprobed | |
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 | partial | 4/10 | Cclaimed | |
Build against official SDKs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 3/10 | Cclaimed | |
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 | ||
Operate the product with natural-language commands G Agentic features | 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 | ||
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 | partialfree | 3/10 | Cclaimed | |
Self-host the core product G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | fullfree | 9/10 | Xcommunity | |
Add AI agent or LLM steps inside a workflow, with model choice and tool use C Ai steps | ai-native user | Ai workflows — AI in the engine loop — agent-driven editors, copilots, codegen-friendly APIs, runtime inferenceAi workflows | 3 | full | 8/10 | Xcommunity | |
Connect to thousands of apps through prebuilt, vendor-maintained integrations C Connectors | ops user | Connectors ecosystem — stories about connectors ecosystem in this arenaConnectors ecosystem | 3 | full | 8/10 | Xcommunity | |
Define rules that trigger actions automatically on events G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 3 | full | 8/10 | Xcommunity | |
Drop into real code (JavaScript or Python) as a step inside a workflow C Code steps | developer | Code extensibility — stories about code extensibility in this arenaCode extensibility | 3 | full | 8/10 | Xcommunity | |
Expose a custom webhook URL that receives external HTTP requests and starts a workflow run with the payload G Triggers | developer | Triggers scheduling — stories about triggers scheduling in this arenaTriggers scheduling | 3 | full | 8/10 | Xcommunity | |
Expose my workflows or connected app actions as MCP tools that an external agent can call C Agent integration | ai-native user | Ai workflows — AI in the engine loop — agent-driven editors, copilots, codegen-friendly APIs, runtime inferenceAi workflows | 3 | full | 8/10 | Tprobed | |
Trigger workflows from events in connected apps (new record, message, email, form submission) C Triggers | ops user | Triggers scheduling — stories about triggers scheduling in this arenaTriggers scheduling | 3 | full | 8/10 | Xcommunity | |
Build multi-step workflows in a visual editor without writing code C Builder | ops user | Visual builder — stories about visual builder in this arenaVisual builder | 3 | partial | 7/10 | Xcommunity | |
Export all of my data in open formats and leave G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | fullfree | 7/10 | Xcommunity | |
Store connection credentials centrally, share them with my team, and control who can use which credential C Credentials | ops user | Collaboration governance — stories about collaboration governance in this arenaCollaboration governance | 3 | partialpaid | 6/10 | Cclaimed | |
Configure automatic retries with backoff for failed steps or activities C Error handling | developer | Reliability errors — stories about reliability errors in this arenaReliability errors | 3 | partial | 4/10 | Xcommunity | |
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 | Xcommunity | |
Start from a public library of workflow templates instead of building from scratch C Templates | ops user | Connectors ecosystem — stories about connectors ecosystem in this arenaConnectors ecosystem | 2 | full | 8/10 | Cclaimed | |
Map and transform data between steps with expressions, functions, or formulas C Data mapping | ops user | Code extensibility — stories about code extensibility in this arenaCode extensibility | 2 | full | 7/10 | Xcommunity | |
Run workflows locally or against a dev instance for development and CI testing C Local dev | developer | Deployment embedding — stories about deployment embedding in this arenaDeployment embedding | 2 | partialfree | 7/10 | Xcommunity | |
Version workflows through source control or environments and promote changes from dev to production C Versioning | developer | Collaboration governance — stories about collaboration governance in this arenaCollaboration governance | 2 | fullpaid | 7/10 | Cclaimed | |
Build a custom connector or private integration with a documented developer platform, SDK, or CLI G Connector dev | developer | Code extensibility — stories about code extensibility in this arenaCode extensibility | 2 | partial | 6/10 | Tprobed | |
Choose where my data is stored (region/residency) G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | partial | 6/10 | Cclaimed | |
Define dedicated error-handling paths or error workflows and get notified when a run fails C Error handling | ops user | Reliability errors — stories about reliability errors in this arenaReliability errors | 2 | partial | 6/10 | Xcommunity | |
Inspect past execution logs and re-run a failed execution, resuming from the failing step C Observability | ops user | Reliability errors — stories about reliability errors in this arenaReliability errors | 2 | partialpaid | 5/10 | Xcommunity | |
Schedule recurring jobs or workflows G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | partial | 5/10 | Xcommunity | |
Test a workflow with sample or pinned data and inspect each step's input and output before going live C Testing | developer | Visual builder — stories about visual builder in this arenaVisual builder | 2 | partial | 5/10 | Xcommunity | |
Control data retention and deletion G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | partialpaid | 4/10 | Cclaimed | |
Perform bulk operations across many items at once G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 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 | disputed | 4/10 | Dcontradicted | |
Have an agent create, update, and activate a workflow programmatically through the public API C Agent integration | ai-native user | Ai workflows — AI in the engine loop — agent-driven editors, copilots, codegen-friendly APIs, runtime inferenceAi workflows | 2 | partial | 3/10 | 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 | 2/10 | Tprobed | |
Generate or edit a workflow from a natural-language prompt C Ai authoring | ai-native user | Ai workflows — AI in the engine loop — agent-driven editors, copilots, codegen-friendly APIs, runtime inferenceAi workflows | 2 | none | 0/10 | ||
Branch a workflow with conditions, filters, and parallel paths that merge back together C Builder | ops user | Visual builder — stories about visual builder in this arenaVisual builder | 2 | none | untested | none yet | |
Compose reusable sub-workflows or modules that other workflows call C Composition | developer | Visual builder — stories about visual builder in this arenaVisual builder | 2 | none | untested | none yet | |
Opt out of telemetry and usage tracking G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | untested | none yet | |
Pause a workflow to wait for human approval or input before it continues C Human in the loop | ops user | Collaboration governance — stories about collaboration governance in this arenaCollaboration governance | 2 | none | untested | none yet | |
Run long-lived workflows that wait for days and survive worker or platform restarts without losing state C Durability | developer | Reliability errors — stories about reliability errors in this arenaReliability errors | 2 | none | untested | none yet | |
Run workflows on cron-style schedules with timezone control C Schedules | ops user | Triggers scheduling — stories about triggers scheduling in this arenaTriggers scheduling | 2 | none | untested | none yet | |
Embed the automation platform white-label inside my own product for my customers C Embedding | developer | Deployment embedding — stories about deployment embedding in this arenaDeployment embedding | 1 | full | 7/10 | Cclaimed | |
Version, review, and roll back my automations G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 1 | partialpaid | 6/10 | Xcommunity | |
Throttle or queue workflow executions to respect downstream rate limits C Durability | developer | Reliability errors — stories about reliability errors in this arenaReliability errors | 1 | none | 0/10 | ||
Install community-built nodes, components, or integrations contributed outside the vendor C Community | developer | Connectors ecosystem — stories about connectors ecosystem in this arenaConnectors ecosystem | 1 | none | untested | none yet |
Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 36 stories with headroom
What would move n8n’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 productDelegate tasks to a built-in AI assistant inside the product
nonemoves Built-in AIimpact 45
The evidence shows n8n lets users build AI agent workflows (nodes, LangChain integration, model connections) but none of it describes a built-in AI assistant inside the n8n product itself that a user can delegate tasks to (e.g., an in-app copilot for building/debugging workflows).
Agenticness — how well agents can access and operate the productOperate the product with natural-language commands
nonemoves Built-in AIimpact 30
Missing: evidence of a prompt-driven workflow builder or NL command interface for controlling n8n's canvas/actions.
Agenticness — how well agents can access and operate the productExplore an interactive API reference with runnable examples
nonemoves API qualityimpact 30
n8n documents a REST API (n8n-docs-16) but there is no evidence of an interactive, runnable API reference (e.g., Swagger/OpenAPI explorer); a direct probe for OpenAPI/Swagger specs returned 404 on all candidate paths, indicating no such interactive reference is exposed.
Agenticness — how well agents can access and operate the productDownload a machine-readable API spec (OpenAPI or equivalent)
nonemoves API qualityimpact 30
While n8n documents a REST API (n8n-docs-16), the evidence pack contains an explicit probe showing all standard OpenAPI/Swagger spec paths returning 404 (n8n-probe-2), and no other citation shows a downloadable machine-readable spec for n8n's API.
Agenticness — how well agents can access and operate the productRely on versioned APIs with a documented deprecation policy
nonemoves API qualityimpact 30
n8n publishes an API (n8n-docs-16) but the evidence pack contains no documentation of API versioning scheme or a deprecation policy, and a probe for an OpenAPI spec returned 404s across all candidate paths (n8n-probe-2), indicating no discoverable versioned/spec-documented API contract.
Agenticness — how well agents can access and operate the productBuild against official SDKs
partialq3/10moves agent-readyimpact 21
Missing: official language SDKs (Python/JS/Go), SDK reference docs, SDK usage examples, and independent confirmation of SDK adoption.
Visual builder — stories about visual builder in this arenaBranch a workflow with conditions, filters, and parallel paths that merge back together
nonemoves PA Scoreimpact 20
Missing: docs/evidence on conditional (IF/Switch) nodes, filter nodes, and a Merge node for recombining parallel paths.
Triggers scheduling — stories about triggers scheduling in this arenaRun workflows on cron-style schedules with timezone control
nonemoves PA Scoreimpact 20
The evidence pack lists numerous n8n trigger/node docs (Webhook, MCP Trigger/Client, credentials) but never mentions a Cron/Schedule Trigger node or timezone configuration options, so there is no direct evidence this specific capability is documented or delivered.
Showing the top 8 of 36 — 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 map15 surfaces · 42 covered stories
Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.
Hacker News24 stories
- Run the product headlessly / in CI for automation
- Subscribe to events via webhooks
- Set up automations that run autonomously in the background
- Add AI agent or LLM steps inside a workflow, with model choice and tool use
- Perform bulk operations across many items at once
- Define rules that trigger actions automatically on events
- Schedule recurring jobs or workflows
- Version, review, and roll back my automations
- Drop into real code (JavaScript or Python) as a step inside a workflow
- Build a custom connector or private integration with a documented developer platform, SDK, or CLI
- Map and transform data between steps with expressions, functions, or formulas
- Connect to thousands of apps through prebuilt, vendor-maintained integrations
- Run workflows locally or against a dev instance for development and CI testing
- Export all of my data in open formats and leave
- Read the product's source under an open license
- Self-host the core product
- Prevent my data from being used to train AI models
- Configure automatic retries with backoff for failed steps or activities
- Define dedicated error-handling paths or error workflows and get notified when a run fails
- Inspect past execution logs and re-run a failed execution, resuming from the failing step
- Trigger workflows from events in connected apps (new record, message, email, form submission)
- Expose a custom webhook URL that receives external HTTP requests and starts a workflow run with the payload
- Build multi-step workflows in a visual editor without writing code
- Test a workflow with sample or pinned data and inspect each step's input and output before going live
GitHub README17 stories
- Run the product headlessly / in CI for automation
- Issue scoped/least-privilege API credentials for an agent
- Get AI-generated insights and suggestions from my data inside the product
- Add AI agent or LLM steps inside a workflow, with model choice and tool use
- Drop into real code (JavaScript or Python) as a step inside a workflow
- Build a custom connector or private integration with a documented developer platform, SDK, or CLI
- Map and transform data between steps with expressions, functions, or formulas
- Store connection credentials centrally, share them with my team, and control who can use which credential
- Connect to thousands of apps through prebuilt, vendor-maintained integrations
- Start from a public library of workflow templates instead of building from scratch
- Run workflows locally or against a dev instance for development and CI testing
- 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
- Trigger workflows from events in connected apps (new record, message, email, form submission)
- Build multi-step workflows in a visual editor without writing code
Deploy docs12 stories
- Run the product headlessly / in CI for automation
- Use an official CLI
- Set up automations that run autonomously in the background
- Build a custom connector or private integration with a documented developer platform, SDK, or CLI
- Embed the automation platform white-label inside my own product for my customers
- Run workflows locally or against a dev instance for development and CI testing
- 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
Integrations docs11 stories
- Plug MCP servers into this product so it can use their tools
- Connect an agent via an official MCP server
- Issue scoped/least-privilege API credentials for an agent
- Subscribe to events via webhooks
- Set up automations that run autonomously in the background
- Expose my workflows or connected app actions as MCP tools that an external agent can call
- Add AI agent or LLM steps inside a workflow, with model choice and tool use
- Define rules that trigger actions automatically on events
- Store connection credentials centrally, share them with my team, and control who can use which credential
- Trigger workflows from events in connected apps (new record, message, email, form submission)
- Expose a custom webhook URL that receives external HTTP requests and starts a workflow run with the payload
Pricing docs10 stories
- Issue scoped/least-privilege API credentials for an agent
- Set up automations that run autonomously in the background
- Test against a sandbox environment without touching production data
- Version, review, and roll back my automations
- Store connection credentials centrally, share them with my team, and control who can use which credential
- Version workflows through source control or environments and promote changes from dev to production
- Read the product's source under an open license
- Self-host the core product
- Choose where my data is stored (region/residency)
- Inspect past execution logs and re-run a failed execution, resuming from the failing step
Build docs8 stories
- Run the product headlessly / in CI for automation
- Get AI-generated insights and suggestions from my data inside the product
- Set up automations that run autonomously in the background
- Add AI agent or LLM steps inside a workflow, with model choice and tool use
- Define rules that trigger actions automatically on events
- Configure automatic retries with backoff for failed steps or activities
- Define dedicated error-handling paths or error workflows and get notified when a run fails
- Inspect past execution logs and re-run a failed execution, resuming from the failing step
Connect docs8 stories
- Run the product headlessly / in CI for automation
- Drive the product through a documented public API
- Issue scoped/least-privilege API credentials for an agent
- Build against official SDKs
- Have an agent create, update, and activate a workflow programmatically through the public API
- Build a custom connector or private integration with a documented developer platform, SDK, or CLI
- Do everything through the API that I can do in the UI
- Export all of my data in open formats and leave
n8n.io8 stories
- Get AI-generated insights and suggestions from my data inside the product
- Perform bulk operations across many items at once
- Drop into real code (JavaScript or Python) as a step inside a workflow
- Map and transform data between steps with expressions, functions, or formulas
- Choose where my data is stored (region/residency)
- Control data retention and deletion
- Build multi-step workflows in a visual editor without writing code
- Test a workflow with sample or pinned data and inspect each step's input and output before going live
Administer docs5 stories
- Test against a sandbox environment without touching production data
- Version, review, and roll back my automations
- Version workflows through source control or environments and promote changes from dev to production
- Run workflows locally or against a dev instance for development and CI testing
- Export all of my data in open formats and leave
Integrations docs3 stories
Workflows docs3 stories
OpenAPI spec2 stories
Probe proofs — replayable recordings from the probe harnessProbe proofs
Replayable recordings from our probe harness — see the Prove-It protocol to submit one.
$n8n --versionreproduced$ n8n --version 2.37.10
$n8n export:workflow --helpreproduced$ n8n export:workflow --help USAGE $ n8n export:workflow FLAGS -h, --help Show CLI help --all Export all workflows --backup Sets --all --pretty --separate for simple backups. Only --output has to be set additionally. --id <value> The ID of the workflow to export --projectId <value> Export all workflows in the specified project -o, --output <value> Output file name or directory if using separate files --pretty Format the output in an easier to read fashion --separate Exports one file per workflow (useful for versioning). Must inform a directory via --output. --version <value> The version ID to export --published Export the published/active version DESCRIPTION Export workflows EXAMPLES $ n8n export:workflow --all $ n8n export:workflow --projectId=Ox8O54VQrmBrb4qL $ n8n export:workflow --id=5 --output=file.json $ n8n export:workflow --id=5 --version=abc-123-def $ n8n export:workflow --id=5 --published $ n8n export:workflow --all --published --output=backups/latest/ $ n8n export:workflow --all --output=backups/latest/ $ n8n export:workflow --backup --output=backups/latest/
Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence
12 of 16 testable claims verified · 0 contradicted → integrity 75/100
21 distinct capability claims found in n8n’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.
12
Verified
4
Unverified
0
Contradicted
25
Undersold
Verified (14)
“Combine visual workflow building with JavaScript, Python, and npm packages for custom code steps”
Drop into real code (JavaScript or Python) as a step inside a workflowfullproof ↗
“Every step of an AI agent's reasoning is traceable on the visual canvas”
Add AI agent or LLM steps inside a workflow, with model choice and tool usefullproof ↗
“Can self-host the platform on your own infrastructure or private cloud via Docker Compose or other methods”
“Error workflows let you control how the system responds when a workflow execution fails”
Define dedicated error-handling paths or error workflows and get notified when a run failspartialproof ↗
“Provides execution search to find past workflow runs”
Inspect past execution logs and re-run a failed execution, resuming from the failing steppartialproof ↗
“Connects to 1500+ prebuilt app integrations”
Connect to thousands of apps through prebuilt, vendor-maintained integrationsfullproof ↗
“Can connect to OpenAI, Anthropic, Google, or open-source models and switch providers without rearchitecting”
Add AI agent or LLM steps inside a workflow, with model choice and tool usefullproof ↗
“Exposes a public n8n API for programmatic control”
Drive the product through a documented public APIpartialproof ↗
“Provides a command-line interface for operating n8n”
“Includes an MCP Server Trigger node so workflows can be called as tools by external agents”
“Includes an MCP Server Trigger node so workflows can be called as tools by external agents”
Expose my workflows or connected app actions as MCP tools that an external agent can callfullproof ↗
“Includes an MCP Client node so workflows can call external MCP-served tools”
Plug MCP servers into this product so it can use their toolsfullproof ↗
“Webhook node exposes a custom URL that starts a workflow run on receiving an HTTP request”
Expose a custom webhook URL that receives external HTTP requests and starts a workflow run with the payloadfullproof ↗
“Standard self-hosted version of n8n is available on GitHub”
Unverified (5)
“OEM deployment option lets you embed n8n's interface white-label inside your own product”
Embed the automation platform white-label inside my own product for my customersfullproof ↗
“Supports version control of workflows using Git”
Version workflows through source control or environments and promote changes from dev to productionfullproof ↗
“Offers a public library of over 12,000 workflow automation templates”
Start from a public library of workflow templates instead of building from scratchfullproof ↗
“Credentials node lets you centrally store and manage connection credentials for use across workflows”
Store connection credentials centrally, share them with my team, and control who can use which credentialpartialproof ↗
“Supports pushing and pulling workflow changes for source control workflows”
Version workflows through source control or environments and promote changes from dev to productionfullproof ↗
Undersold (25)
Point an agent at llms.txt or agent-oriented docsfullproof ↗
Run the product headlessly / in CI for automationfullproof ↗
Issue scoped/least-privilege API credentials for an agentpartialproof ↗
Get AI-generated insights and suggestions from my data inside the productpartialproof ↗
Set up automations that run autonomously in the backgroundfullproof ↗
Test against a sandbox environment without touching production datapartialproof ↗
Have an agent create, update, and activate a workflow programmatically through the public APIpartialproof ↗
Perform bulk operations across many items at oncepartialproof ↗
Define rules that trigger actions automatically on eventsfullproof ↗
Build a custom connector or private integration with a documented developer platform, SDK, or CLIpartialproof ↗
Map and transform data between steps with expressions, functions, or formulasfullproof ↗
Run workflows locally or against a dev instance for development and CI testingpartialproof ↗
Do everything through the API that I can do in the UIpartialproof ↗
Choose where my data is stored (region/residency)partialproof ↗
Prevent my data from being used to train AI modelspartialproof ↗
Configure automatic retries with backoff for failed steps or activitiespartialproof ↗
Trigger workflows from events in connected apps (new record, message, email, form submission)fullproof ↗
Build multi-step workflows in a visual editor without writing codepartialproof ↗
Test a workflow with sample or pinned data and inspect each step's input and output before going livepartialproof ↗
Claims outside our story set (3)
Real capability claims found in n8n’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.
“Runs as a free Community edition without needing a license key”
source ↗“Supports SSO, SAML, and LDAP for authentication”
source ↗“Can deploy self-hosted or securely with role-based access control and audit trails for sensitive data”
source ↗
Business model
Fair-code (Sustainable Use License) self-hosted Community Edition is free; n8n Cloud plans charge a flat monthly fee metered by workflow executions; Business/Enterprise add SSO, environments, and scaling.
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 llms.txt 100% (30d, checked every 6h since Sep 8 '26)
