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Lindy vs Gumloop in 2026: Which AI Agent Tool Is Worth Your Money?

Lindy vs Gumloop in 2026

I compared Lindy vs Gumloop in 2026 so you don’t have to β€” two AI agent tools that sound similar on paper and work nothing alike in practice. One wants to be your teammate; the other wants to be your factory. Here’s what I found, with every price checked against the official pricing pages on November 8, 2026.

The short version

  • Lindy is the teammate you talk to. You describe a job in plain English β€” in Slack, email, or iMessage β€” and it figures out the steps itself. It starts at $29.99 a month per active user for 3,000 credits, and every seat you add costs another $29.99.
  • Gumloop is the process map you build. You drag nodes onto a canvas, wire up the branches, and it runs the same flow the same way every time. It costs $37 a month flat for 20,000 credits β€” and that covers your whole team, however many seats you need.
  • If you want a persistent assistant that lives in Slack and handles inbox, calendar, and follow-ups, Lindy is the better fit. If you run repeatable, data-heavy jobs β€” lead enrichment, web research, document review β€” Gumloop gives you more control per dollar.
  • For a solo user, Lindy is cheaper ($29.99 vs $37). For a team of five, Gumloop crushes it ($37 flat vs $149.95 a month). That one fact decides the winner for most buyers.
  • Neither vendor has a confirmed Black Friday 2026 deal as of today. Don’t trust coupon sites claiming otherwise.
  • Prices checked November 8, 2026, against both vendors’ official pricing pages.

Disclosure: This article contains affiliate links. If you buy through them, I may earn a commission at no extra cost to you. I only recommend tools I’ve actually researched, and the prices below are the ones I verified on November 8, 2026 β€” re-check at checkout before you pay.

Two tools, two completely different ideas of “automation”

Here’s the thing that tripped me up when I first compared Lindy vs Gumloop: they look like competitors, but they barely do the same job. Lindy wants to replace the assistant you used to hire. Gumloop wants to replace the spreadsheet-and-copy-paste process you used to suffer through.

I spent a day digging through both pricing pages, both sets of docs, and more third-party reviews than I’d care to admit, and the honest answer is that the right pick depends less on which tool is “better” and more on what your work actually looks like. A founder drowning in email needs Lindy. A growth team enriching 500 leads a week needs Gumloop. Some people genuinely need both β€” and I’ll say so plainly in the verdict.

One warning before we get into the numbers: both tools changed their pricing in 2026, and most of the comparison articles ranking on Google still list the old plans. Lindy retired its Plus, Pro, and Max tiers around October 4, 2026, and Gumloop merged its old Solo and Team tiers into a single Pro plan back in December 2025. If you see a blog quoting Lindy Pro at $99.99 or Gumloop Team at $244 a month, that page is out of date. Everything below comes from the live pricing pages I read today.

What Lindy actually is

Lindy is an AI teammate. You don’t build workflows β€” you describe what you want in plain English, and Lindy (the product’s name for its agents is “Lindies”) decides how to get it done. It lives where your team already works: Slack threads and mentions, email, iMessage, and the browser. You can tell it “triage my inbox every morning and draft replies in my voice” or “prep a briefing before every call on my calendar,” and it just does it, around the clock.

Under the hood, Lindy ships with 40+ skills β€” inbox management, meeting scheduling and prep, meeting recording with notes, shared meeting libraries, daily briefs, drafting replies in your voice, scheduled routines β€” plus a code action (JavaScript or Python) for anything the built-in skills can’t cover. It can also drive a website directly when no API exists, through a feature called Computer Use, and it has a voice agent named Gaia that makes and takes phone calls for appointment setting, lead qualification, and support.

Two things about Lindy stood out to me. First, approvals are built in: anything with outside impact β€” sending an email, updating a ticket, posting somewhere β€” waits for your say-so before it goes out. That’s the kind of guardrail that matters when an agent has access to your inbox. Second, Lindy’s G2 rating is 4.9 out of 5 from roughly 170 reviews, which is a much thicker sample than most AI agent tools can claim.

Lindy’s own pricing page says it integrates with 1,500+ apps and supports MCP, though β€” fair warning β€” Lindy’s own pages quote 1,000+, 1,400+, and 1,500+ in different places, so take the exact count with a grain of salt. The company is SOC 2 and GDPR compliant, and on the Enterprise plan you get SSO, SCIM, audit logs, and HIPAA with a signed BAA.

What Gumloop actually is

Gumloop is a visual workflow builder with AI baked into every node. You drag blocks onto a canvas β€” a scraper here, an AI summarizer there, a Google Sheet at the end β€” wire up the branches, and the flow runs the same way every time. Its standout feature, and the one every Gumloop user I read about mentions first, is subflows: reusable workflow modules you define once and call from any parent flow, like functions in code. If you’ve ever outgrown Zapier because your zaps turned into spaghetti, subflows are the answer.

The AI side is serious. Each node can pick its own model β€” GPT, Claude, Gemini, DeepSeek, and others β€” so you can run cheap models for classification and frontier models for the writing that matters. Nodes cover summarization, sentiment analysis, structured data extraction, document and PDF reading, OCR, audio transcription, and copy generation.

Where Gumloop really pulls away from Lindy is browser automation. It has a built-in web scraper node, a Chrome extension that records a browsing session and replays it as a node, and an agent browser that clicks, types, and downloads on sites without APIs. For lead enrichment and web research β€” the jobs Gumloop is built for β€” that matters more than anything else on the feature list.

Gumloop raised a $50 million Series B led by Benchmark in March 2026 and landed on Forbes’ Next Billion-Dollar Startups list in July 2026, so it’s not a weekend project. One honest caveat: its G2 rating is 4.8 out of 5, but from only 6 reviews. That’s a thin sample, and I wouldn’t weigh it the same as Lindy’s ~170.

Lindy pricing in 2026 (verified November 8)

Lindy’s pricing is simple now β€” and that’s a deliberate change. There used to be named tiers (Plus, Pro, Max). Those were retired around October 4, 2026, and replaced with a single Team plan priced by a credit-volume selector. Here’s what’s live on lindy.ai/pricing today:

Plan Price Credits Notes
Free $0 $50 in credits No card required; credits last 7 days
Team From $29.99/mo per active user 3,000 credits per user/month Credits pool across the workspace
Enterprise Custom Custom SSO, SCIM, audit logs, HIPAA + BAA

A few things worth knowing before you sign up. First, there is no annual billing published anywhere on Lindy’s pricing page β€” it’s monthly only, confirmed by multiple independent checks through 2026. If a blog tells you Lindy saves 17% a year, that offer came and went during the early-2026 transition and no longer exists.

Second, credits pool across your workspace, and you can top up at $10 per 1,000 credits. Top-up credits never expire. Monthly plan credits don’t roll over, and if the pool runs dry, Lindy pauses credit-using actions rather than surprising you with a bill. I like that design a lot β€” the worst thing an agent tool can do is spend your money while you sleep.

Third, what does a credit actually buy? Lindy publishes task bands on its pricing page: everyday asks (answers, summaries, drafting a reply) run 2–250 credits, deep work (a competitor research report, triaging a day’s support queue) runs 250–1,000, and big builds (complex dashboards, multi-media decks, internal tools) run 1,000–2,500. At the entry tier, 3,000 credits a month covers roughly a dozen deep-work tasks β€” or one big build and a few small asks. Heavy users will climb the volume selector; third-party captures of that selector list higher rungs up to 1,750,000 credits a month, but I couldn’t read those rungs directly off Lindy’s page today (the selector is JavaScript-driven), so treat them as reported, not verified.

One more honest flag: Lindy’s own pricing page still shows leftover copy from the retired tiers β€” “Computer use on Pro and Max” and “connect 2 to 5 inboxes, depending on plan” β€” even though Pro and Max don’t exist anymore. Don’t quote those as current facts.

Gumloop pricing in 2026 (verified November 8)

Gumloop is also down to one main plan, and its pricing works completely differently. Where Lindy sells abstract work units, Gumloop passes through the actual cost of the models and compute you use, plus a fee. Here’s the live picture from gumloop.com/pricing:

Plan Price Credits Notes
Free $0 5,000 credits/mo (per docs) Not shown on the live pricing page β€” see caveat below
Pro $37/mo flat 20,000 credits/mo Unlimited seats and teams; 5 concurrent runs
Enterprise Custom Custom Rollover, RBAC, VPC, 15 concurrent runs

The Pro plan’s 20,000 credits break down as 7,400 base credits plus 12,600 bonus credits. Each credit is worth $0.005, so the base allotment is exactly $37 of compute and the bonus is worth another $63. But here’s the part that catches people out: Gumloop charges the list cost of model tokens, compute, and paid-API tool calls, plus an 8% orchestration fee on the full list cost. Bring your own model API key and the token cost drops to zero β€” but the fee jumps to 16%, calculated on the full list cost as if you hadn’t brought a key. Either way, Gumloop takes its cut.

Credits don’t roll over on Pro (Enterprise gets rollover), and pay-as-you-go is off by default. If you blow through 20,000 credits mid-month, your agents stop and Gumloop asks you to enable pay-as-you-go at $0.005 a credit. No surprise bills, but also no graceful degradation β€” plan your heavy runs accordingly. One third-party review worked out that a single heavy 2,700-credit run means the monthly grant lasts about eight such runs, which is a sobering way to think about it.

Two caveats, both worth your attention. First, the Free plan: Gumloop’s own blog and support docs still describe a free tier with 5,000 credits a month, but direct checks of the pricing page in August and October 2026 found only Pro and Enterprise β€” no Free card. New signups start on a 14-day Pro trial instead, which requires a card and auto-converts to paid Pro unless you cancel. I wouldn’t promise yourself a permanent free tier.

Second, annual billing: third-party sources report Pro drops to about $29.60 a month on annual billing (20% off), but I couldn’t confirm that on the official pricing page I read today. Treat it as reported, and confirm at checkout.

The pricing math that actually matters

Raw credit counts across these two tools are meaningless β€” Lindy credits are abstract work units and Gumloop credits are $0.005 of passthrough cost plus a fee. Comparing them directly would be like comparing miles to gallons. What matters is the bill at the end of the month, so here’s the honest math for the three buyer profiles I keep coming back to.

Solo user. Lindy costs $29.99 a month. Gumloop costs $37 a month. Lindy wins by $7 β€” unless your work is the kind Gumloop is built for, in which case the $7 is irrelevant next to the time you’d save.

Small team of five. Lindy costs 5 Γ— $29.99 = $149.95 a month, because every active user is billed. Gumloop costs $37 a month flat β€” unlimited seats. That’s a $112.95 monthly gap, or about $1,355 a year, for the same five people. This is the single biggest pricing fact in the whole comparison, and it’s the reason Gumloop wins the value argument for teams almost by default.

Heavy automation user. Lindy’s credits are predictable: you know roughly what a task costs before you run it, and the pool pauses instead of billing you. Gumloop’s cost-plus model means a run’s price depends on which models you picked, how much compute it needed, and the 8% fee on top. If you run a lot of heavy AI work, Gumloop’s 20,000 credits can disappear faster than you’d expect β€” but the per-credit cost is transparent, and you can swap in cheaper models per node to bring it down.

Round by round: Lindy vs Gumloop

Round 1: Ease of use β€” Lindy wins

This one isn’t close. Lindy asks you to describe a job in a sentence; Gumloop asks you to build a flowchart. If you’ve never touched a workflow tool, you can have a Lindy agent triaging your inbox within minutes of signing up. Gumloop takes longer to learn β€” nodes, branches, subflows, credit costs per node β€” but that learning curve buys you something Lindy can’t offer: a flow you can debug, step by step, and replay with confidence. Beginners should start with Lindy. People who’ve already felt the pain of a black-box agent doing something weird will appreciate Gumloop’s transparency.

Round 2: The automation model β€” different sports

Lindy is an agent: you tell it the outcome and it picks the steps. That’s wonderful when the steps vary every time β€” no two inboxes look alike, no two meeting-prep jobs are identical. Gumloop is a workflow: you define the steps and it executes them identically every time. That’s wonderful when the steps should never vary β€” the same enrichment, the same checks, the same report, 500 times a week. Neither model is better in the abstract. The question is whether your work is a conversation or a conveyor belt.

Round 3: Browser automation β€” Gumloop wins

Gumloop’s Chrome extension and built-in scraper are core strengths: record a browsing session, replay it as a node, trigger flows from the current page, scrape and screenshot page source. Its agent browser clicks, types, and downloads on sites that have no API at all. Lindy has Computer Use, which drives websites directly, but the current tier gating is unclear after the October 2026 restructure, and browser automation is a feature of Lindy rather than its reason to exist. For web research and lead enrichment, Gumloop is the clear pick.

Round 4: Phone calls and voice β€” Lindy wins (with a caveat)

Lindy’s Gaia voice agent makes and takes phone calls β€” appointment setting, lead qualification, support β€” in 30+ languages claimed. Gumloop has no native phone-calling agent at all. The caveat: I could not verify what voice calls cost. One 2026 source says 20 credits a minute plus $10 per phone number; another says $0.19 a minute on top of the subscription. Neither figure appears on Lindy’s official pricing page, so I’m not going to quote either as fact. If phone calls are your reason for buying, ask Lindy directly before you commit.

Round 5: Integrations β€” a draw, with messy numbers

Lindy claims 1,500+ integrations on its pricing page (other Lindy pages say 1,000+ or 1,400+) plus MCP support. Gumloop’s homepage claims 400+ connectors, while third-party counts land at 130–150+ native integrations, plus 100+ built-in MCP servers. Both sides’ numbers are slippery, so I wouldn’t pick a winner on integration counts. What matters is whether the three or four apps you actually use are covered β€” check both lists for your stack before you pay.

Round 6: Governance and control β€” Gumloop edges it

Lindy builds approvals into its agents β€” anything with outside impact waits for you β€” and Enterprise adds audit logs, SSO, and SCIM. Gumloop gives Pro users spend caps with approvals, guardrails, and audit logs, with organization-wide governance on Enterprise. Both are solid. Gumloop edges ahead for teams because its spend caps and per-agent guardrails map naturally onto “this flow may spend this much,” which is exactly how finance teams think about automation budgets.

Round 7: Team pricing β€” Gumloop wins big

I’ve already done this math, but it deserves its own round because it’s the deciding factor for most buyers. Lindy bills per active user; Gumloop bills flat. A five-person team pays $149.95 a month for Lindy and $37 for Gumloop. A ten-person team pays $299.90 vs $37. The gap grows with every seat you add. Lindy is charging you for a teammate per person; Gumloop is charging you for a machine the whole team shares. Both are defensible prices β€” but only one of them scales kindly.

Who should pick Lindy

Pick Lindy if your work looks like something you’d hand to a smart assistant: inbox triage, calendar and scheduling, meeting notes and follow-ups, sales follow-up emails, support triage, executive assistance. Pick it if you live in Slack and want the agent to meet you there. Pick it if you want predictable task-based credits and an agent that pauses instead of billing you when the pool runs dry. And pick it if you’re a solo operator β€” at $29.99 a month, it’s the cheaper of the two for one person, and it’s the fastest path from signup to something useful.

One more group: anyone who needs phone calls. Lindy’s Gaia voice agent is the only phone option in this comparison, even with the pricing fog around it.

Who should pick Gumloop

Pick Gumloop if your work looks like a process map: lead enrichment, web research and scraping, document review, batch AI processing, multi-source reporting. Pick it if you want to see β€” and control β€” every step a flow takes, and if you’ve ever been burned by a black-box agent doing something you couldn’t explain. Pick it if your team is bigger than two people, because the flat $37 a month with unlimited seats is the best team deal in this category. And pick it if browser automation is central to what you do: the Chrome extension and agent browser are genuinely good.

One caution: if you’re the kind of person who finds Zapier intimidating, Gumloop’s canvas will feel like a lot. Budget an afternoon to learn it. The payoff is real, but it’s not instant.

My verdict

For most readers of this blog β€” solo creators, small teams, people automating their own work rather than an enterprise department β€” Gumloop is the better buy, and it’s not particularly close once team size enters the picture. Flat $37 a month, unlimited seats, full control over every step, and browser automation that actually works. The cost-plus credit model takes some getting used to, and the free-plan situation is murky, but the value is real.

That said, Lindy is the better tool for a specific person: the busy operator who wants a teammate, not a machine. If your day is email, calendar, meetings, and follow-ups, Lindy will feel like magic in a way Gumloop never will β€” Gumloop can automate a meeting-prep flow, but it can’t sit in your Slack and answer “what’s on my plate today?” Lindy can. At $29.99 a month for one person, it’s fairly priced for that.

So here’s my honest answer: if you’re a team, buy Gumloop. If you’re one person drowning in assistant work, buy Lindy. And if you’re a team doing both kinds of work β€” and a lot of you are β€” budget for both. They don’t really compete; they cover different halves of the same job. Start with the one that matches your biggest pain, and add the other when the first one is earning its keep.

If you’re still weighing the wider automation market, my comparisons of n8n vs Make vs Zapier in 2026 and the best Relay.app alternatives cover the workflow-builder side of the market, and my AI autoblogging tools comparison looks at automation for content teams specifically.

Frequently asked questions

Is Lindy or Gumloop cheaper?

For one person, Lindy is cheaper at $29.99 a month versus Gumloop’s $37. For a team of five, Gumloop is far cheaper β€” $37 flat against Lindy’s $149.95 a month β€” because Lindy bills per active user and Gumloop doesn’t. Check your team size before you compare the headline prices.

Does Lindy still have Plus, Pro, and Max plans?

No. Lindy retired the Plus ($29.99), Pro ($99.99), and Max ($199.99) tiers around October 4, 2026. The current structure is a Free plan ($50 in credits for 7 days), a single Team plan starting at $29.99 a month per active user for 3,000 credits, and custom Enterprise. Many comparison articles still list the old tiers β€” they’re out of date.

Does Gumloop have a free plan?

It’s complicated. Gumloop’s docs and blog still describe a free plan with 5,000 credits a month, but the live pricing page showed only Pro and Enterprise in checks from August and October 2026. New signups start on a 14-day Pro trial that needs a card and auto-converts to paid Pro. Don’t count on a permanent free tier until Gumloop puts it back on the pricing page.

Are Lindy and Gumloop credits comparable?

No β€” and this is the most common mistake in comparisons of these two tools. A Lindy credit is an abstract work unit (a simple task costs 2–250 credits; a big build costs 1,000–2,500). A Gumloop credit is $0.005 of passthrough model and compute cost, plus an 8% orchestration fee. Any article claiming one tool gives you “five times more credits per dollar” is comparing apples to oranges.

Do either of them have a Black Friday 2026 deal?

Not that I could find. As of November 8, 2026, neither Lindy nor Gumloop has announced a Black Friday or Cyber Monday offer β€” searches turn up unrelated brands, and neither vendor’s site lists a seasonal deal. Black Friday falls on November 27, 2026, so it’s worth re-checking both sites closer to the date. Don’t trust coupon aggregators claiming a deal; Gumloop’s standing 20%-off-first-month creator discount is sometimes mislabelled as one.

Can I use Lindy and Gumloop together?

Yes, and for some teams that’s the right answer. Lindy handles the conversational, always-on assistant work (inbox, calendar, meetings), while Gumloop runs the repeatable, data-heavy processes (enrichment, research, reporting). They solve different problems, and neither one replaces the other.

References


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