Cargo vs Clay
An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.
Still shortlisting? Browse the best in GTM Engineering and the best in B2B Data Providers for every option we track, with award winners called out.
The short answer
Editorial assessmentCargo compared with Clay
The direct comparison, and the one most buyers are actually making. Clay is spreadsheet-shaped, has the deeper built-in provider waterfall, and is far easier for a non-technical operator to get results from on day one. Cargo is code-shaped, with versioned workspaces, a CLI, run traces, and agents that share a real data model rather than living in table columns. Choose Clay if the person doing the work is a growth marketer; choose Cargo if it is an engineer who wants scoring changes to go through pull requests.
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 Clay if
GTM engineers and data-savvy teams building automated, multi-provider enrichment and personalization pipelines.
Side by side
13 attributes| Attribute | Cargo | Clay |
|---|---|---|
| Category | GTM Engineering | Data |
| Starting price | Free plan with 100 credits per month; paid plans from about $165 per month | Free plan; paid from $167/mo billed annually (Launch) |
| 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. | Two metered allowances per plan, actions (running workflows, including waterfall steps and Claygent) and data credits (data bought from providers), each set on its own slider, with a free plan, two self-serve tiers, and custom Enterprise. CRM auto-sync, webhooks, and the HTTP API integration are gated at Growth. |
| Free plan | 100 credits per month, community support, all features included, no SSO | 500 actions and 100 data credits per month, unlimited seats and tables, up to 200 rows per table. |
| Free trial | Free plan with 100 credits and no payment method required, plus a 14-day satisfaction guarantee on paid plans | 14 days |
| 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. | GTM engineers and data-savvy teams building automated, multi-provider enrichment and personalization pipelines. |
| 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. | First enriched table in an hour via templates; a production pipeline (sources, then waterfalls, then scoring, then delivery) typically takes 2-4 weeks to harden. |
| 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. | The steepest in this report, genuinely a skill. Templates, the academy, and a large creator ecosystem (courses, agencies) flatten it substantially. |
| Platforms | Web application, cargo-ai command line interface, TypeScript CDK, Hosted Vite apps deployed alongside a workspace | Web app, Chrome extension, REST API |
| Compliance | GDPR, SOC 2 | SOC 2 Type II, GDPR program |
| Founded | 2023 | 2017 |
| Headquarters | San Francisco, California, with a team in Paris | New York City, US |
| Ownership | Independent, venture-backed | Venture-backed (private) |
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.
Clay
Strengths
- Waterfall coverage decisively beats any single data provider.
- Claygent turns open-web research into a scalable, auditable pipeline step.
- Deep native integrations across the modern outbound stack (sequencers, CRMs, signals).
- Template/creator ecosystem compounds, proven workflows are one click away.
Limitations
- Real learning curve, tables, waterfalls, and prompt design reward (effectively require) a technical operator.
- Credit economics are powerful but unforgiving without active management.
- Not a proprietary data source; quality ceilings are its providers'.
- Enterprise governance (SSO, roles, audit) only matures at top tiers.
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.
Clay
Two metered allowances per plan, actions (running workflows, including waterfall steps and Claygent) and data credits (data bought from providers), each set on its own slider, with a free plan, two self-serve tiers, and custom Enterprise. CRM auto-sync, webhooks, and the HTTP API integration are gated at Growth.
- Free$0
- Launch$167
- Growth$446
- EnterpriseCustom
Clay's effective price is workflow-dependent: well-designed tables deliver coverage and personalization no single vendor matches at any price, while naive configurations burn credits alarmingly. Teams treating credit design as part of the craft consistently report it as the stack's highest-ROI line item.
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 profileClay
Clay is the most consequential product in this report: it moved the center of outbound gravity from databases and sequencers to the orchestration layer between them, and its valuation sprint reflects substance, not froth. The costs are honest, a real learning curve and credit economics that punish sloppiness, but teams that invest in the craft get coverage, research, and personalization nothing else assembles. If your outbound has an engineer, this is their instrument.
Read the full Clay profileCargo profile last reviewed 2026-08-23; Clay last reviewed 2026-09-26. Pricing is compiled from public sources and can change without notice. See our methodology.
The best in GTM Engineering
17 trackedGTM engineering tools are the build-it-yourself layer of the go-to-market stack: the workflow automation engines and search APIs that small teams wire into custom prospecting, enrichment, and reporting pipelines instead of buying another point solution.
Roughly eight thousand app connectors and fifteen years of reliability make it the assumed answer whenever two tools need to talk; the catalog is the moat and the verb.
Routers, iterators, and error handlers on a $9 tier: the logic features rivals gate behind higher plans, at the category's lowest per-operation price.
Per-execution pricing, native AI agent nodes, and a free self-hosted edition made it the engine of the DIY enrichment stack, and a reported $2.5B valuation says the market noticed.
Spun out in 2024 to turn any site into LLM ready markdown, Firecrawl added cached scraping, an MCP server, and research indexes built for AI agents.
A point and click recorder produces a working extraction robot in ten to twenty minutes with no code anywhere, backed by 250 plus prebuilt robots.
The best in B2B Data Providers
26 trackedB2B data providers supply the contact and company information (emails, phone numbers, firmographics, and buying signals) that feeds prospecting lists and enrichment workflows.
The largest self-serve contact database in the category, fused with sequencing, data and execution in one product.
Accurate direct dials and a genuinely usable free tier make Lusha the lowest-friction entry point into paid B2B data.
Founded in 2022 and already at 40,000 users, Prospeo shipped AI Search, lookalikes, and an MCP server in 2025 as its database passed 280M leads.
Semantic search over the live web with contact data attached made prospecting a language problem rather than a database subscription.
Signup to verified emails in five minutes with zero configuration, and failed searches cost nothing, so nobody needs training to get value from Anymailfinder.
Frequently asked questions
6 questionsWhat is the difference between Cargo and Clay?
The direct comparison, and the one most buyers are actually making. Clay is spreadsheet-shaped, has the deeper built-in provider waterfall, and is far easier for a non-technical operator to get results from on day one. Cargo is code-shaped, with versioned workspaces, a CLI, run traces, and agents that share a real data model rather than living in table columns. Choose Clay if the person doing the work is a growth marketer; choose Cargo if it is an engineer who wants scoring changes to go through pull requests.
Is Cargo or Clay cheaper?
Cargo starts at Free plan with 100 credits per month; paid plans from about $165 per month. Clay starts at Free plan; paid from $167/mo billed annually (Launch). The billing models differ, so the entry price is rarely the whole cost. Cargo pricing model: Usage-based credits on a subscription plan, with no per-seat charge and no feature gating between tiers. Clay pricing model: Two metered allowances per plan, actions (running workflows, including waterfall steps and Claygent) and data credits (data bought from providers), each set on its own slider, with a free plan, two self-serve tiers, and custom Enterprise.
Does Cargo or Clay have a free plan?
Cargo has a free plan. 100 credits per month, community support, all features included, no SSO. Trial terms: Free plan with 100 credits and no payment method required, plus a 14-day satisfaction guarantee on paid plans. Clay has a free plan. 500 actions and 100 data credits per month, unlimited seats and tables, up to 200 rows per table. Trial terms: 14 days.
Who should choose Cargo?
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.
Who should choose Clay?
GTM engineers and data-savvy teams building automated, multi-provider enrichment and personalization pipelines.
What are the best alternatives to Cargo and Clay?
SaaSTracker profiles 17 products in GTM Engineering. The Summer 2026 awards in the category went to Zapier (Category Leader), Make (Best Value), n8n (Momentum). SaaSTracker profiles 26 products in B2B Data Providers. The Summer 2026 awards in the category went to Apollo.io (Category Leader), Lusha (Best Value), Prospeo (Momentum). Every profile is compiled from primary sources, so a shortlist can be built from pricing, limitations, and fit rather than from star ratings.
