Cite

DOSSIER · Knowledge work · SOLID · VERIFIED 14 Sep 2026

Gumloop76SolidNo-code AI workflow and research automation builderVerified 2026-09-14

Dossier · Knowledge work

Gumloop

Gumloop flagship-ready dossier: No-code AI workflow and research automation builder.

What is Gumloop?

Decision

No-code AI workflow and research automation builder

Choose it when: No-code AI automations combining documents, APIs, enrichment, workplace channels, and handoffs
Teams that want shared workflow building without per-seat pricing on Pro
Skip it when: You need predictable per-task pricing rather than credit-based automation
You cannot review what each node, agent, credential, and retry is doing
Cost: New accounts: 14-day Pro trial (card required).
Privacy: Gumloop privacy policy effective 2026-06-26.

Watch for Credit billing can spike with long context, tools, workflow calls, retries, and enrichment

Compare with n8nHow we score

Editorial · hands-on4 sourcespricing checked 14 Sep 2026privacy checked 14 Sep 2026

What these labels mean

Editorial fit: 0–100 desk score for research-workflow fit. Not stars, not a benchmark.
Evidence level: How close the desk got: self-run, hands-on, synthesized, or vendor claim.
Dossier depth: Flagship, Solid, Lightweight, and Draft describe how finished the page is — not which tool is best.
Verification date: When pricing or privacy was last opened at the source. Not a re-score of the whole dossier.
Benchmark status: Pending means no relevant first-party test is published yet. It is not a negative score.

Open the glossary · Read the methodology

Gumloop is a tool in the VerdictPal Knowledge work set: 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. It scores 76 out of 100 on editorial fit.

Role: No-code AI workflow and research automation builderCategory: Knowledge workEditorial · hands-on

Gumloop at a glance, with the date each field was checked.
Field	Value
Editorial fit	76 out of 100
Dossier status	Solid
Set	Knowledge work
Role in a workflow	No-code AI workflow and research automation builder
Pricing	Trial Free · Pro $37/mo · Enterprise Custom
Training on your data	Not recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.
Last verified	2026-09-14

Editor's note

Desk hands-on 2026-06: Capable agent builder for non-engineers; credits add up fast. Quality is there — budget accordingly.

Public facts · vendor & repo

List prices and pay-as-you-go entry points we can cite without running our own bench. Each tile links to a source when possible.

Knowledge workSetVerdictPal tool ↗

synthesizedEvidenceQuality gate ↗

4Sources checkedSources ↗

2026-06-07Pricing checkedQuality gate ↗

Limits & product surface

Non-price vendor claims — multipliers, caps, and API scope. Detailed matrices live in subscription and SDK sections below.

Primary surface: prosumer-saasTool identity ↗
Modalities: text, dataTool identity ↗
Workflow roles: [object Object], [object Object], [object Object]VerdictPal editorial ↗
Alternatives tracked: Zapier, n8n, Make, Relay.app, BardeenVerdictPal comparison set ↗

How it works · agent loop

The public positioning for this product — the loop we score against on VerdictPal.

Start with the wedge

No-code AI automations combining documents, APIs, enrichment, workplace channels, and handoffs

Run the representative task

Build a flow that takes a tool URL, fetches facts, summarizes pricing/privacy, and writes a dossier draft.

Check the failure modes

Credit billing can spike with long context, tools, workflow calls, retries, and enrichment

Compare before recommending

Compare against Zapier, n8n, Make before shipping advice.

Who it fits, where it fails

Best 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

Avoid 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

Strengths

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

Weaknesses

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

How it could improve

Institutional policy friction could be reduced with a local/on-prem deployment option, or at minimum with clear data-handling documentation that compliance teams can review without an NDA.
Extracted values that require manual verification suggest the extraction pipeline needs a confidence-checking layer, cross-reference extracted claims against the original passage before presenting them as fact.
Cost-to-value scores 54/100, the weakest dimension on this dossier. Addressing this would meaningfully raise the editorial fit.
Privacy posture scores 48/100, the weakest dimension on this dossier. Addressing this would meaningfully raise the editorial fit.

Search modes · 4 lenses

One input box, many retrieval postures. Filter by tier.

01Free

Workspace

Workspace path for Gumloop — verify limits on the live product.

02Pro

Collaboration

Collaboration path for Gumloop — verify limits on the live product.

03Pro

Automation

Automation path for Gumloop — verify limits on the live product.

04Max

Admin & billing

Admin & billing path for Gumloop — verify limits on the live product.

Competitive lens

Where Gumloop wins for cited research — and where a rival still belongs in the stack.

Gumloop is stronger when no-code ai automations combining documents, apis, enrichment, workplace channels, and handoffs; Zapier may still win for narrower fit, procurement, or specialist depth.

Gumloop

No-code AI automations combining documents, APIs, enrichment, workplace channels, and handoffs
Teams that want shared workflow building without per-seat pricing on Pro

Zapier

You need predictable per-task pricing rather than credit-based automation
You cannot review what each node, agent, credential, and retry is doing

Scores and evidence

Metric lab · 16 dimensions

Click a tile for the editorial note. Color follows score: coral, yellow, mint.

Shape

Avg 70 · 48–100

76Editorial fit

Weighted roll-up across 13 dimensions for Knowledge work; pending desk verification if rescored from public facts.

By group

Fit79

Editorial fit76
Wedge task fit78
Feature depth84

Cost58

Free-tier utility62
Cost-to-value54
Opportunity cost58

Trust70

Source grounding64
Privacy posture48
Failure transparency72
Evidence strength64
Transparency100

Workflow73

Integration reach80
Setup friction70
Reliability72
Competitive position76
Data portability65

Benchmark ledger

Public rows are vendor or third-party claims we logged with a date. Desk rows are reserved for VerdictPal self-run results.

Measure	Result	Source
Build a flow that takes a tool URL, fetches facts, summarizes pricing/privacy, and writes a dossier draftsetup time, credential handling, credit use, retries, output quality, and handoff clarity.	Planned2026-06-09	VerdictPal benchmark plan
Run the same workflow at 10, 100, and 1,000 item scalecredit burn, failed runs, concurrency bottlenecks, and monitoring clarity.	Planned2026-06-09	VerdictPal benchmark plan
Use synthetic PII and unpublished-research examples to inspect logging, deletion, retention, and Enterprise controlsPending benchmark row from Notion.	Planned2026-06-09	VerdictPal benchmark plan

Editorial evidence · 0 entries

No editorial benchmark yet. The tool stays at status Solid until evidence lands.

Test scenarios · hands-on lab

How we exercised the product. Step through each run before you trust the scores.

Test run

Step 1 of 4

Start from the persona in best-for item 1.

Research log · desk notes

What we learned while building this dossier — not vendor copy.

2026-06-07Notion Tool pipeline (Card pipeline) ↗

Notion research pass

Gumloop is the no-code AI workflow and agent-automation tool. This pass is based on primary Gumloop pricing and privacy pages, plus official product/search results. The review should focus on whether credit-based agent workflows stay understandable after real data, credentials, retries, and handoffs enter the loop.

2026-06-09VerdictPal git ↗

Flagship-ready structure

Converted imported research into metrics, panes, scenarios, benchmark rows, comparison notes, and pricing deck.

What it costs, what it keeps

Pricing deck · checked 2026-09-14

Desk pick

Pro

$37

month

20k credits/month; unused credits do not roll over
Verify live regional checkout before publishing procurement advice.

RAW · checked 2026-09-14: New accounts: 14-day Pro trial (card required). Pro starts at $37/month with 20k credits/month (credits at $0.005; unused Pro credits do not roll over). Optional overage $0.005/credit after enabling pay-as-you-go. Enterprise custom with credit rollover, RBAC, SCIM/SAML, audit logs, and VPC options.

Privacy deep-dive · checked 2026-09-14

Gumloop privacy policy effective 2026-06-26. It collects email, cookies, usage data, IP/browser/device identifiers and diagnostics, and uses data to provide/maintain service, support, billing, analytics, security, and notices. It says Google Workspace API data is not used to train generalized AI/ML models or transferred to third-party AI tools for generalized model training. For premium users it states it does not use uploaded data, flows, or agent chats to train any AI.

Under the hood

Vendors named on the product about page — useful for procurement and privacy reviews.

research workflow automation: Gumloop
data handoff: Zapier
agentic pipeline builder: n8n

Alternatives and context

Alternatives

Zapiern8nMakeRelay.appBardeen

Head-to-head

Gumloop vs n8n

Compare side-by-side → open compare

Workflow roles

How this tool fits into a composed research stack:

research workflow automationdata handoffagentic pipeline builder

Deep panes · 6 lenses

Editorial lenses only. Subscription and API pricing live in their own sections above.

Lens 01

Positioning

Gumloop is framed here as No-code AI workflow and research automation builder. Gumloop is the no-code AI workflow and agent-automation tool. This pass is based on primary Gumloop pricing and privacy pages, plus official product/search results. The review should focus on whether credit-based agent workflows stay understandable after real data, credentials, retries, and handoffs enter the loop.

Checked: 2026-06-07
Evidence: synthesized

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

Sources and provenance

Source ledger · 4 checked

Product sitechecked 2026-09-14
Pricingchecked 2026-09-14
Privacy policychecked 2026-09-14
Changelogchecked 2026-06-07

Quality gate · Solid

Evidence ready

Verdict history

2026-09-14Live-verified Gumloop pricing and privacy (2026-09-14). New accounts get a 14-day Pro trial (card required). Pro starts at $37/month with 20k credits; unused Pro credits do not roll over; overage $0.005/credit after pay-as-you-go. The former Free 5k and Pro $97/55k listings are gone from the live pricing page. Privacy policy effective 2026-06-26; premium users: no training on uploads/flows/agent chats.
2026-06-07Gumloop is the no-code AI workflow and agent-automation tool. This pass is based on primary Gumloop pricing and privacy pages, plus official product/search results. The review should focus on whether credit-based agent workflows stay understandable after real data, credentials, retries, and handoffs enter the loop.
2026-06-09Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Related dossiers

Knowledge work

n8n

69/100

ROLEResearch 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.

Watch outYou cannot operate, patch, secure, and back up a self-hosted stack

Editorial · hands-onSolid

Automating repeatable researchTeams that want

From$20/MOCloud Starter

ROLEBrand-safe marketing design and lightweight content production

Visual design and marketing-content platform for teams, with Canva Business adding brand kits, collaboration, marketing workflows, AI tools, cloud storage, team billing, and business-oriented controls.

Watch outYou need Figma-level component rigor, source-file control, interaction design, or production-grade product UI work

Editorial · hands-onSolid

Solo operators smallTeams that need

ROLERequirements shaping and PRD drafting workspace

AI product-management workspace for turning rough ideas, files, and team context into PRDs and product documents, with saved projects, templates, Google Drive, Notion export, Slack, and Teams-gated Linear integration.

Watch outYou expect it to replace customer research, prioritization, stakeholder alignment, or product taste

Editorial · hands-onSolid

PMs who needTeams whose product

ROLEVoice synthesis, audio accessibility, and narration prototyping

Cloud AI audio platform for text-to-speech, speech-to-text, dubbing, voice design, voice cloning, sound effects, music, productions, image/video, voice agents, and API-based audio generation.

Watch outYou need unlimited commercial voice cloning on the free tier

Editorial · hands-onSolid

Turning written explainers,Drafting narration voice

ROLEAI first-draft deck and visual document builder

AI presentation, document, website, social, and visual-content builder that turns prompts, outlines, PDFs, PPTX files, and notes into card-based decks and shareable visual documents with exports, branding, analytics, custom domains, and API access on higher tiers.

Watch outYou need PowerPoint-native control, strict brand systems, detailed animation, or heavy design-system governance

Editorial · hands-onSolid

Fast first draftsNon-designers who need

ROLEProduct and engineering project-management system

Product-development system for issues, projects, cycles, initiatives, customer requests, intake, reporting, integrations, and emerging Linear Agent workflows for product and engineering teams.

Watch outYou need an extremely customizable general-purpose task database for non-product teams

Editorial · hands-onSolid

Product engineering teamsStartups organizing issues,

Questions this dossier answers

Every answer below is assembled from the dated fields on this page. Nothing is written separately for search.

What is Gumloop?

Is Gumloop worth using?

Gumloop scores 76 out of 100 on editorial fit and carries Solid dossier status. Its job in a research workflow is: No-code AI workflow and research automation builder.

Who is Gumloop best for?

Gumloop earns its place when you need:

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

When should you not use Gumloop?

Skip Gumloop in these cases:

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

What does Gumloop cost?

Trial Free · Pro $37/mo · Enterprise Custom. Pricing last checked 2026-09-14.

Does Gumloop train on your data?

Not recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.. Privacy terms last checked 2026-09-14.

What goes wrong with Gumloop?

The dossier publishes 7 failure modes for Gumloop, and they stay published whether or not the vendor likes them:

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

What are the alternatives to Gumloop?

The closest options to Gumloop are Zapier, n8n, Make, Relay.app, Bardeen. Each one that has a tool in the atlas is linked from this dossier, with a head-to-head comparison.

The Pack · Editorial newsletter

Know when the rules move.

One short email when a university changes its AI rule for theses, or a research tool changes its pricing or privacy terms. No tracking, no third-party analytics. Unsubscribe in one click.

The thesis AI checklist is free to use, no signup needed →

Info

Quality gate

Evidence ready
Pricing checked 14 Sep 2026
Privacy checked 14 Sep 2026

What these labels mean

Editorial fit: 0–100 desk score for research-workflow fit. Not stars, not a benchmark.
Evidence level: How close the desk got: self-run, hands-on, synthesized, or vendor claim.
Dossier depth: Flagship, Solid, Lightweight, and Draft describe how finished the page is — not which tool is best.
Verification date: When pricing or privacy was last opened at the source. Not a re-score of the whole dossier.
Benchmark status: Pending means no relevant first-party test is published yet. It is not a negative score.

Open the glossary · Read the methodology

Evidence

Editorial · hands-on

4 sources · 3 bench entries

Verdict history

2026-09-14Live-verified Gumloop pricing and privacy (2026-09-14). New accounts get a 14-day Pro trial (card required). Pro starts at $37/month with 20k credits; unused Pro credits do not roll over; overage $0.005/credit after pay-as-you-go. The former Free 5k and Pro $97/55k listings are gone from the live pricing page. Privacy policy effective 2026-06-26; premium users: no training on uploads/flows/agent chats.
2026-06-07Gumloop is the no-code AI workflow and agent-automation tool. This pass is based on primary Gumloop pricing and privacy pages, plus official product/search results. The review should focus on whether credit-based agent workflows stay understandable after real data, credentials, retries, and handoffs enter the loop.
2026-06-09Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.