Dossier · Knowledge work
No-code AI workflow and research automation builder · last verified 2026-06-09
Desk hands-on 2026-06: Capable agent builder for non-engineers; credits add up fast. Quality is there — budget accordingly.
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.
Gumloop flagship-ready dossier: No-code AI workflow and research automation builder.
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.
Limits & product surface
Non-price vendor claims — multipliers, caps, and API scope. Detailed matrices live in subscription and SDK sections below.
The public positioning for this product — the loop we score against on VerdictPal.
No-code AI automations combining documents, APIs, enrichment, workplace channels, and handoffs
Build a flow that takes a tool URL, fetches facts, summarizes pricing/privacy, and writes a dossier draft.
Credit billing can spike with long context, tools, workflow calls, retries, and enrichment
Compare against Zapier, n8n, Make before shipping advice.
Click a tile for the editorial note. Color follows score: coral, yellow, mint.
Shape
Avg 70 · 48–100
Weighted roll-up across 13 dimensions for Knowledge work; pending desk verification if rescored from public facts.
By group
One input box, many retrieval postures. Filter by tier.
Workspace path for Gumloop — verify limits on the live product.
Collaboration path for Gumloop — verify limits on the live product.
Automation path for Gumloop — verify limits on the live product.
Admin & billing path for Gumloop — verify limits on the live product.
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. | Planned | VerdictPal benchmark plan |
| Run the same workflow at 10, 100, and 1,000 item scalecredit burn, failed runs, concurrency bottlenecks, and monitoring clarity. | Planned | VerdictPal benchmark plan |
| Use synthetic PII and unpublished-research examples to inspect logging, deletion, retention, and Enterprise controlsPending benchmark row from Notion. | Planned | VerdictPal benchmark plan |
Pro (base)
$37
month
Pro (55k credits)
$97
month
RAW · checked 2026-06-09: 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.
What we learned while building this dossier — not vendor copy.
Gumloop is the no-code AI workflow and agent-automation card. 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.
Converted imported research into metrics, panes, scenarios, benchmark rows, comparison notes, and pricing deck.
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
Zapier
Vendors named on the product about page — useful for procurement and privacy reviews.
Editorial lenses only. Subscription and API pricing live in their own sections above.
Lens 01
Gumloop is framed here as No-code AI workflow and research automation builder. Gumloop is the no-code AI workflow and agent-automation card. 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.
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.
TASK
Build a flow that takes a tool URL, fetches facts, summarizes pricing/privacy, and writes a dossier draft.
Pending.
↳ setup time, credential handling, credit use, retries, output quality, and handoff clarity.
TASK
Run the same workflow at 10, 100, and 1,000 item scale.
Pending.
↳ credit burn, failed runs, concurrency bottlenecks, and monitoring clarity.
TASK
Use synthetic PII and unpublished-research examples to inspect logging, deletion, retention, and Enterprise controls.
Pending.
↳ Pending benchmark row from Notion.
Benchmarks that evaluate or report on this tool. Scores and caveats live on the benchmark page.
Gumloop privacy policy effective 2026-05-22. 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.
Compare side-by-side → open compare
How this tool fits into a composed research stack:
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