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VerdictPal · editorial desk · 2026VerdictPal
Compare · Head-to-head

Pick two cards. See the diff.

Stat bars are editorial heuristics, methodology linked — not a fake benchmark leaderboard. Put two dossiers side by side and see where each one breaks.
CardsModels

Compare · Card A / Card B·Head-to-head

Gumloopvsn8n

In the Knowledge work set, Gumloop edges ahead overall (editorial fit 76 vs 69). Gumloop wins on citation honesty, source quality, and speed; n8n wins on value for money. Both pass our quality gate. The right pick is the one whose strengths match the job you're trying to do.

Gumloop · avg
69
wins 9 of 16
n8n · avg
66
wins 3 of 16
Fields differ
11
of 16 dossier rows
Receipts
16
sources + bench notes

Checked 2026-06-09 · Gumloop·Checked 2026-06-09 · n8n

Dossier fields

Sixteen fields, side by side.

No.FieldGumloopn8n
01Status · Editorial quality gateSolidSolid
02Editorial fit · 0–100 score76 / 10069 / 100
03CategoryKnowledge workKnowledge work
04Primary surfaceProsumer SaaSB2B / team
05Modalities
  • Text
  • Data
  • Text
  • Data
  • Code
06Role in a stackNo-code AI workflow and research automation builderResearch operations automation and API glue
07Best for
  • No-code AI automations combining documents, APIs, enrichment, workplace channels, and handoffs
  • Teams that want shared workflow building without per-seat pricing on Pro
  • Research-ops and go-to-market workflows where agents need to connect internal and external data
  • Organizations willing to use Enterprise controls for SAML, RBAC, audit logs, VPC, retention, and model-access governance
  • Automating repeatable research ops across APIs, Notion, webhooks, databases, and enrichment jobs
  • Teams that want self-host control but still need a visual workflow builder
  • VerdictPal-style pipelines that sync cards, update source freshness, route alerts, or schedule enrichment
  • Technical teams that understand secrets, retries, logs, and execution-based pricing
08Avoid if
  • You need predictable per-task pricing rather than credit-based automation
  • You cannot review what each node, agent, credential, and retry is doing
  • You require on-prem/VPC/security controls but are not on Enterprise
  • You plan to send unpublished research, PII, or sensitive customer data through flows without data-classification review
  • You cannot operate, patch, secure, and back up a self-hosted stack
  • You need predictable flat-rate billing without execution overages
  • You want turnkey SaaS with zero DevOps and no credential-governance work
  • Your workflows are high-volume and every run triggers many costly downstream API calls
09Capabilities tracked
  • Visual workflow/agent builder
  • unlimited agents/flows
  • app/data connections
  • workplace agents
  • past-conversation search and team-wide context recall
  • Tool Discovery lazy-loading
  • Auto Summarization
  • Context Usage Meter
  • variable credit tracking
  • Free/Pro/Enterprise plans
  • MCP hosting/proxying
  • usage analytics
  • policies/guardrails
  • RBAC/SCIM/SAML/audit logs/VPC/retention controls
  • SOC 2 Type II / GDPR / ZDR positioning
  • Visual workflow editor
  • 400+ integrations
  • unlimited users/workflows/steps
  • execution-based billing
  • API/webhook glue
  • AI Workflow Builder credits
  • admin roles
  • global variables
  • workflow history
  • SSO/SAML/LDAP
  • environments
  • scaling
  • Git version control
  • external secret stores
  • log streaming
  • OTel/observability ecosystem
  • cloud EU/Frankfurt and self-host options
10Failure modes · Documented, not buried
  • Credit billing can spike with long context, tools, workflow calls, retries, and enrichment
  • Free concurrency and trigger limits are tight
  • Agent costs vary by message length, model, history, tools, and workflow execution
  • Overage can run up to 2× monthly allocation if enabled
  • Past conversations/team-wide search can broaden data exposure
  • Connected credentials and third-party data pass through cloud automation
  • Workflow-specific retention/subprocessor terms need verification
  • Execution quotas can pause workflows or invoice overages
  • Full-workflow pricing can hide downstream API costs
  • Self-hosted free still costs ops/security/backups
  • License pings and telemetry matter for self-hosted paid plans
  • Credential sprawl is a serious risk
  • Privacy policy covers broad account/usage/traffic/device/security/legal processing
11Evidence levelEditorial · hands-onEditorial · hands-on
12Sources verified · Receipts on the dossier
13Benchmark entries
  • Build a flow that takes a tool URL, fetches facts, summarizes pricing/privacy, and writes a dossier draft.
    Pending.
  • Run the same workflow at 10, 100, and 1,000 item scale.
    Pending.
  • Use synthetic PII and unpublished-research examples to inspect logging, deletion, retention, and Enterprise controls.
    Pending.
  • Build one workflow with API input, transform, Notion update, and failure alert.
    Pending.
  • Run simple, medium, and branch-heavy workflows 100 times each.
    Pending.
  • Store credentials, rotate one key, and inspect execution logs.
    Pending.
  • Deploy Community Edition, backup/restore, update, and simulate worker failure.
    Pending.
14Alternatives tracked
  • Zapier
  • n8n
  • Make
  • Relay.app
  • Bardeen
  • Zapier
  • Make
  • Activepieces
  • Windmill
  • Apache Airflow
15Pricing checked2026-06-092026-06-09
16Last verified2026-06-092026-06-09
16 metrics

Sixteen numbers, one shared midline.

Gumloopvsn8n

In the Knowledge work set, Gumloop edges ahead overall (editorial fit 76 vs 69). Gumloop wins on citation honesty, source quality, and speed; n8n wins on value for money. Both pass our quality gate. The right pick is the one whose strengths match the job you're trying to do.

  1. Editorial fit
    Gumloop76n8n69
  2. Source quality
    Gumloop64n8n52
  3. Citation honesty
    Gumloop64n8n58
  4. Privacy controls
    Gumloop48n8n50
  5. Value for money
    Gumloop54n8n64
  6. Speed
    Gumloop70n8n58
  7. Integration
    Gumloop80n8n76
  8. Onboarding
    Gumloop70n8n58
  9. Reliability
    Gumloop72n8n70
  10. Feature depth
    Gumloop84n8n100
  11. Data portability
    Gumloop65n8n55
  12. Transparency
    Gumloop100n8n98
  13. Ecosystem reach
    Gumloop80n8n76
  14. Documentation
    Gumloop64n8n52
  15. Independence
    Gumloop48n8n50
  16. Affordability
    Gumloop62n8n67
Gumloop · avg 69 · wins 9 of 160avg 66 · wins 3 of 16 · n8n
EvidenceGumloop 3 · n8n 0
  1. 01Editorial fit
    76
    69
  2. 02Source quality
    64
    52
  3. 03Citation honesty
    64
    58
  4. 04Privacy controls
    48
    50
PrivacyGumloop 3 · n8n 1
  1. 05Value for money
    54
    64
  2. 06Speed
    70
    58
  3. 07Integration
    80
    76
  4. 08Onboarding
    70
    58
CapabilityGumloop 1 · n8n 1
  1. 09Reliability
    72
    70
  2. 10Feature depth
    84
    100
  3. 11Data portability
    65
    55
  4. 12Transparency
    100
    98
Cost & fitGumloop 2 · n8n 1
  1. 13Ecosystem reach
    80
    76
  2. 14Documentation
    64
    52
  3. 15Independence
    48
    50
  4. 16Affordability
    62
    67
CARD A · Gumloop
Knowledge work
Gumloop
76/100
ROLENo-code AI workflow and research automation builder
Editorial fit
76
Source quality
64
Citation honesty
64
Privacy controls
48
Value for money
54
Speed
70
FREEFree
$37/MOPro (base)
$97/MOPro (55k credits)
SolidVerified 2026-06-09VP·METHOD

No-code AI workflow and research automation builder — No-code AI workflow and agent platform for building automations across documents, apps, APIs, internal data, webhooks, MCP tools, and workplace channels, priced through monthly credits and plan-level concurrency limits.

CARD B · n8n
Knowledge work
n8n
69/100
ROLEResearch operations automation and API glue
Editorial fit
69
Source quality
52
Citation honesty
58
Privacy controls
50
Value for money
64
Speed
58
FREECommunity (self-hosted)
$20/MOCloud Starter
$50/MOCloud Pro
SolidVerified 2026-06-09VP·METHOD

Research operations automation and API glue — Fair-code workflow automation platform for self-hosted or cloud pipelines, useful for research ops glue across APIs, webhooks, databases, AI steps, Notion syncs, enrichment jobs, and alerts.

Privacy facets

Where each card is actually private.

Gumloopn8n
Training on your dataUnknownUnknown: Not statedPartialPartial: Opt-out available
EU data residencyNoNo: Not documentedPartialPartial: Enterprise tier only
SOC 2 attestationNoNo: Not documentedNoNo: Not documented
Local-first by defaultNoNo: Cloud onlyNoNo: Cloud only
Capability split

What each card does uniquely.

Only Gumloop15

  • Visual workflow/agent builder
  • unlimited agents/flows
  • app/data connections
  • workplace agents
  • past-conversation search and team-wide context recall
  • Tool Discovery lazy-loading
  • Auto Summarization
  • Context Usage Meter
  • variable credit tracking
  • Free/Pro/Enterprise plans
  • MCP hosting/proxying
  • usage analytics
  • policies/guardrails
  • RBAC/SCIM/SAML/audit logs/VPC/retention controls
  • SOC 2 Type II / GDPR / ZDR positioning

Shared0

No overlap detected.

Only n8n17

  • Visual workflow editor
  • 400+ integrations
  • unlimited users/workflows/steps
  • execution-based billing
  • API/webhook glue
  • AI Workflow Builder credits
  • admin roles
  • global variables
  • workflow history
  • SSO/SAML/LDAP
  • environments
  • scaling
  • Git version control
  • external secret stores
  • log streaming
  • OTel/observability ecosystem
  • cloud EU/Frankfurt and self-host options
Failure modes

Where each card breaks.

Gumloop

  • Credit billing can spike with long context, tools, workflow calls, retries, and enrichment
  • Free concurrency and trigger limits are tight
  • Agent costs vary by message length, model, history, tools, and workflow execution
  • Overage can run up to 2× monthly allocation if enabled
  • Past conversations/team-wide search can broaden data exposure
  • Connected credentials and third-party data pass through cloud automation
  • Workflow-specific retention/subprocessor terms need verification

n8n

  • Execution quotas can pause workflows or invoice overages
  • Full-workflow pricing can hide downstream API costs
  • Self-hosted free still costs ops/security/backups
  • License pings and telemetry matter for self-hosted paid plans
  • Credential sprawl is a serious risk
  • Privacy policy covers broad account/usage/traffic/device/security/legal processing
Pricing

Pulled straight from each dossier.

Gumloop

Knowledge work
  • FREEFree
  • $37/MOPro (base)
  • $97/MOPro (55k credits)

raw · Deepened 2026-06-08 from Gumloop pricing and credits docs: Free $0 with 5k credits/month, 1 seat, 1 active trigger, 2 concurrent runs, 5 concurrent agent interactions; Pro starts $37/month with 20k+ credits/month, unlimited seats, team analytics, policies/guardrails, MCP hosting/proxying; Enterprise custom with RBAC, SCIM/SAML, audit logs, retention, exports, incognito mode, model controls, VPC, queueing, custom concurrency. Credits refresh monthly; bundles/overage are available. Overage costs $0.007/credit, capped at 2× monthly allocation; credits do not roll over except Enterprise.

n8n

Knowledge work
  • FREECommunity (self-hosted)
  • $20/MOCloud Starter
  • $50/MOCloud Pro

raw · Community self-hosted edition available · Starter €20/mo annual with 2.5K executions · Pro €50/mo annual with 10K executions · Business €667/mo annual self-hosted with 40K executions and SSO/Git/environments/scaling · Enterprise custom hosted or self-hosted with external secrets, log streaming, SLA, invoice billing.

Verdict

Which card to actually pick.

In the Knowledge work set, Gumloop edges ahead overall (editorial fit 76 vs 69). Gumloop wins on citation honesty, source quality, and speed; n8n wins on value for money. Both pass our quality gate. The right pick is the one whose strengths match the job you're trying to do.

Open Gumloop's dossierOpen n8n's dossier
Try Gumloop ↗Try n8n ↗