Cargo vs Gumloop
An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.
The short answer
Editorial assessmentGumloop compared with Cargo
Both sit in the space between a CRM and the rest of the stack, but they start from opposite ends. Cargo is built specifically for revenue operations, with a warehouse-native model, routing, and scoring as the native vocabulary. Gumloop is a general agent platform that happens to be popular with go-to-market teams. Pick Cargo when the problem is pipeline orchestration on top of a data warehouse; pick Gumloop when the same team also needs research agents, content workflows, and a Slack assistant on one bill.
Choose Cargo if
Technical revenue operators and GTM engineers at funded startups and mid-market software companies who need enrichment, scoring, routing, and agent workflows to run as one governed system, and who want that logic versioned in code rather than trapped in a visual canvas.
Choose Gumloop if
Operations, revenue operations, and growth people who understand a process well enough to encode it but do not want to write and host code: Gumloop gives them agents with real tool access, a shared knowledge base, and per-run cost visibility, with no seat charge as the rest of the team starts using what they built.
Side by side
13 attributes| Attribute | Cargo | Gumloop |
|---|---|---|
| Category | GTM Engineering | GTM Engineering |
| Starting price | Free plan with 100 credits per month; paid plans from about $165 per month (free plan available) | $37 per month (Pro, 20,000 credits included) (14 days trial) |
| Pricing model | Usage-based credits on a subscription plan, with no per-seat charge and no feature gating between tiers. Credits are consumed by integration tasks (priced per integration), orchestration steps (roughly 1 credit per 100 steps), and storage upserts (roughly 1 credit per 1,000 upserts). Enrichment and LLM provider costs are separate, since you connect your own accounts. Prices are quoted as from figures because per-integration credit consumption varies. | Usage-based. Seats are unlimited on every plan and the meter is credits, where one credit is $0.005. Credits are consumed by model chat and reasoning tokens, tool calls (minimum one credit per successful call), compute time at roughly five credits per session-minute, and an 8 percent orchestration fee on top of those. Workflow runs bill the same way. Bring-your-own-key removes token charges but raises the orchestration fee on agent chats. |
| Free plan | 100 credits per month, community support, all features included, no SSO | No |
| Free trial | Free plan with 100 credits and no payment method required, plus a 14-day satisfaction guarantee on paid plans | 14 days on Pro |
| Best for | Technical revenue operators and GTM engineers at funded startups and mid-market software companies who need enrichment, scoring, routing, and agent workflows to run as one governed system, and who want that logic versioned in code rather than trapped in a visual canvas. | Operations, revenue operations, and growth people who understand a process well enough to encode it but do not want to write and host code: Gumloop gives them agents with real tool access, a shared knowledge base, and per-run cost visibility, with no seat charge as the rest of the team starts using what they built. |
| Setup time | A first working Play in a day for someone comfortable with APIs: connect a CRM, define a company model, add one enrichment step, and trigger on record change. A production deployment covering enrichment, scoring, routing, and CRM writeback more realistically takes two to four weeks, most of it spent agreeing on the data model rather than on the tool. | A first useful agent in an afternoon: connect two or three apps, write instructions, test in the canvas, then invite it into a Slack channel. A production process with triggers, error handling, and evaluations is more like a week of part-time work, most of which is spent discovering the edge cases in your own data. |
| Learning curve | Moderate to steep, and honestly so. The primitives are few but they assume familiarity with data modeling, idempotency, retries, and rate limits. The visual builder lowers the entry cost but not the conceptual one; teams without a technical operator tend to stall after the first workflow. | Low to start and moderate to do well. The canvas and the agent editor are approachable, but the skills that separate a demo from something dependable are prompt discipline, knowing when to force a step into a deterministic workflow instead of trusting the model, and reading the run log to find which node is consuming the credits. |
| Platforms | Web application, cargo-ai command line interface, TypeScript CDK, Hosted Vite apps deployed alongside a workspace | Web application, Slack, Microsoft Teams, Email (per-agent inbox), Hosted agent pages with custom domains, Chrome extension, CLI |
| Compliance | GDPR, SOC 2 | SOC 2 Type II, GDPR, Zero data retention options with model providers |
| Founded | 2023 | 2023 |
| Headquarters | San Francisco, California, with a team in Paris | San Francisco, California (founded in Vancouver, Canada) |
| Ownership | Independent, venture-backed | Independent, venture-backed (legal entity AgentHub Inc.) |
Strengths and limitations
Cargo
Strengths
- Revenue logic can be versioned, reviewed, and deployed like software, which is a real answer to the problem of critical scoring rules living inside one person's canvas.
- Agents are steps inside workflows sharing one data model, so multi-agent handoffs stay structured instead of degrading into text passed between prompts.
- Bring-your-own credentials for enrichment and LLM providers means no data resale markup and no vendor lock-in on the data layer.
- No per-seat pricing and no feature gating between tiers, so a small technical team gets the full platform at the entry price.
Limitations
- The credit meter has three dimensions (integration tasks, orchestration steps, storage upserts), so spend is genuinely hard to forecast before a month of real usage.
- No native sequencing: there is no email or LinkedIn sequence builder, so outbound execution always requires a second tool and a handoff step.
- The built-in enrichment provider catalog is smaller than Clay's, which matters if your waterfall depends on a long tail of niche data vendors.
- The step from about 2,500 credits to about 17,000 credits is a jump from roughly $250 to roughly $1,190 a month with nothing in between.
Gumloop
Strengths
- Unlimited seats on every plan, so adoption across a team costs nothing extra and the builder is not rationing access.
- Genuinely non-technical building surface that still reaches real systems, with roughly 300 connectors and first-class MCP support.
- Per-node credit and runtime reporting in the run log, which is better cost instrumentation than most automation platforms offer.
- Company Brain with permission-preserving indexing, which is what makes a shared Slack agent safe rather than a data leak waiting to happen.
Limitations
- The free plan was discontinued; evaluation is now a 14-day trial on a paid plan, which is a real barrier for a cautious small buyer.
- Credit consumption is hard to predict before you build. Users report a workflow going from one or two credits per run to dozens after a small change, and credits do not roll over on Pro.
- The 8 percent orchestration fee sits on top of model and tool costs, and rises on bring-your-own-key agent chats, so BYOK is less of a savings lever than it first appears.
- Pro concurrency is a wall, not a queue: 5 simultaneous workflow runs, then HTTP 429. Queuing is an Enterprise feature, which pushes any genuinely high-volume webhook use case upmarket.
Pricing compared
Cargo
Usage-based credits on a subscription plan, with no per-seat charge and no feature gating between tiers. Credits are consumed by integration tasks (priced per integration), orchestration steps (roughly 1 credit per 100 steps), and storage upserts (roughly 1 credit per 1,000 upserts). Enrichment and LLM provider costs are separate, since you connect your own accounts. Prices are quoted as from figures because per-integration credit consumption varies.
- Free$0
- StarterFrom $165
- ProfessionalFrom $250
- EnterpriseFrom $1,190
- Premium EnterpriseFrom $3,000
Priced against the alternative of a data engineer maintaining glue scripts, Cargo is inexpensive; priced against the tools a five-person sales team actually buys, it is not an impulse purchase. The seat-free model is genuinely favorable for agencies and for teams where many people benefit from workflows one person builds, and the absence of feature gating means the Starter plan is the whole product rather than a demo. The weak spot is predictability: with credits consumed by integration calls, orchestration steps, and storage writes at once, the first two months are an estimation exercise, and the leap to the Enterprise tier arrives faster than most buyers expect once always-on plays are running.
Gumloop
Usage-based. Seats are unlimited on every plan and the meter is credits, where one credit is $0.005. Credits are consumed by model chat and reasoning tokens, tool calls (minimum one credit per successful call), compute time at roughly five credits per session-minute, and an 8 percent orchestration fee on top of those. Workflow runs bill the same way. Bring-your-own-key removes token charges but raises the orchestration fee on agent chats.
- ProFrom $37
- EnterpriseCustom
The unlimited-seat model is the genuinely unusual part. A ten-person team pays the same $37 base as one person, which inverts the economics of nearly every competing tool and makes Gumloop cheap for the pattern it is designed around: one builder, many users. The offsetting risk is that the credit meter is opaque until you have run real work through it, and the removal of the free plan means you now discover your actual cost during a 14-day paid trial rather than over a leisurely month on a free tier. For a small business, the honest budgeting approach is to assume the $37 covers exploration and light production only, and to instrument the run log early so you know which agent is eating the month.
Editorial verdict on each
Cargo
Cargo is the most convincing attempt yet to treat go-to-market logic as software rather than as a canvas somebody maintains. The primitives are well chosen, agents sit inside workflows instead of beside them, run traces and typed tools make the thing operable, and the seat-free, feature-complete pricing is a genuine kindness in a category full of gated tiers. The costs are equally clear. There is no sequencing, the enrichment catalog is narrower than Clay's, credits are metered along three axes that resist forecasting, and the jump from the $250 tier to the $1,190 tier arrives quickly once plays run continuously. The deciding question is not budget but staffing: with an engineer who wants revenue logic in version control, this is a strong buy at a price a funded small company can absorb; without one, most of what makes Cargo different is out of reach and a spreadsheet-shaped competitor will get further faster.
Read the full Cargo profileGumloop
Gumloop is the most credible no-code agent platform for a go-to-market team that has processes worth encoding and nobody free to write code. The unlimited-seat model is the standout commercial decision: one person builds, the whole company uses it, and the base subscription does not move. Company Brain with permission-aware indexing, skills that give the prompt layer a home, and evaluations that grade output are the parts competitors have not matched. The reasons for caution are commercial rather than technical. The free plan is gone, so evaluation now happens inside a 14-day paid trial; credits are hard to forecast, do not roll over, and carry an orchestration fee on top; and the governance features a compliance review will ask about live entirely on Enterprise. Buy it if the work you want automated genuinely needs judgment, budget for usage rather than a flat subscription, and instrument the run log from day one so you find out which agent is expensive before the invoice does.
Read the full Gumloop profileCargo profile last reviewed 2026-08-23; Gumloop last reviewed 2026-08-23. Pricing is compiled from public sources and can change without notice. See our methodology.