Boost.space vs Make: A Data Layer or an Automation Tool
By Joris van Huët
Enterprise Interim CMO & Marketing Leader · 15+ years · 50+ orgs
Published
2026-10-26
The short answer: these two are layers more than rivals. Consider Boost.space if you sell through several channels, your product, order and customer records disagree between shop, suppliers and marketplaces, and you want a managed agent working on one clean copy: Bob's launch is $2,500 one-time and Agent OS starts at $300 a month paid annually, excluding VAT, checked on 26 October 2026 on the Boost.space pricing page. Consider Make if the job is moving data between apps and you want to build it yourself on a self-serve plan, starting from 1,000 free credits a month (Make pricing).
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There is little search evidence that buyers weigh these two against each other, so this page starts from the other end: who each one is for. Boost.space describes itself as a unified data foundation that keeps products, customers, orders and campaigns in sync both ways, and its docs say integration platforms such as Make, n8n and Zapier sit on top of it (What is Boost.space). Make is one of those platforms: scenarios that move and transform data between apps.
Before you book a call:
- Price two years, not one. The first month of Agent OS comes with the launch, and the paid period starts after it (pricing page). For example, Bob plus two years of Agent OS Standard is $2,500 + 2 x $3,600 = $9,700, excluding VAT, AI provider usage and hosting, which are billed separately.
- Measure the mess you already have. Export the catalog from each channel, line the rows up by SKU in a spreadsheet, and count the products whose price or title differs. Boost.space keeps one record per product through a key field such as the SKU (key fields); a count in single figures does not need a data layer.
- Decide the number you will judge it on. Agent Launch includes a baseline and acceptance criteria agreed before purchase, reviewed after the first month (pricing page). On Make, every run's operations sit in the scenario's history (operations guide).
How they line up
| Boost.space | Make | Source | |
|---|---|---|---|
| What it is | Synced data layer, with AI agents sold on top | Visual builder for automated scenarios and AI agents | Boost.space docs, Make agents |
| How you buy it | Agent Launch, then Agent OS, confirmed with Boost.space before purchase | Self-serve plans from Free upward | Boost.space pricing, Make pricing |
| Who does the build | Up to 8 hours of expert work in Bob's launch, 16 in a custom one | You do | Boost.space pricing |
| Integrations | 2,600+ native | 3,000+ native apps | Boost.space docs, Make pricing |
| Moving data to other apps | Make scenarios on your own Make account, plus native triggers and Python automations | Native | Boost.space automation |
| MCP | Agents read and write records with the connecting user's permissions | Clients run your on-demand scenarios | Boost.space MCP, Make MCP server |
Where they differ
One holds the records, the other moves them
Boost.space stores data in modules, spaces and records with typed fields, and its docs list deduplication by key field and source priority among the reasons agents can trust it (What is Boost.space). Make moves data between systems that keep their own records; its data stores hold small amounts of state across scenarios (data stores). If your problem is three conflicting copies of a product, Make on its own copies the conflict faster.
A service with a scope, or a tool you run
Bob's launch buys a delivered agent and one bounded first goal, with expert hours shared across deployment, delivery and training (pricing page). Make sells capacity, and the scenarios are yours to design, test and fix. A team without anyone who enjoys building flows gets more from the first; a team with that person gets more control from the second.
What stopping costs
Stop Agent OS and you keep the delivered agent, its training, memory and skills, but lose managed records, synchronisation and maintained connections (pricing FAQ). Cancel a paid Make plan and the organisation moves to the Free plan when the term ends; any downgrade stops active scenarios that use higher-plan features (Make pricing).
The agent step, with its check
Bob prepares listings, checks pricing opportunities and fixes product information, while your team reviews uncertain details and sensitive changes (Bob). For an agent of your own, Boost.space's MCP server lets Claude or ChatGPT search, create and update records one at a time with exactly the connecting user's rights; deleting records and bulk writes are deliberately not MCP operations (Connect via MCP). That limit is the human check built into the design. On the Make side, its MCP server lets the same clients run scenarios you set to on-demand scheduling, so a person decides which scenarios an assistant may call at all (Make MCP server).
Prices side by side
Boost.space, checked on 26 October 2026 on its pricing page, excluding VAT:
| Item | Price | What it covers |
|---|---|---|
| Bob Agent Launch | $2,500 one-time | Up to 8 hours of expert work, first month of Agent OS |
| Custom Agent Launch | $5,000 one-time | Up to 16 hours of expert work, first month of Agent OS |
| Agent OS Standard | $300 a month, paid annually ($3,600 a year) | 100,000 managed records and 100,000 AI Credits a month |
Make's plan prices are drawn by a script behind a security check and could not be read from its pricing page on 26 October 2026, so none are quoted here. The page text confirms the Free plan's 1,000 credits a month and that annual prepayment costs less than monthly billing.
A year of Agent OS Standard, at $3,600, costs more than Bob's $2,500 launch, so the launch price is the smaller of the two numbers you are agreeing to. Agent OS is where the recurring revenue sits, so expect the launch conversation to treat it as the default. The vendor's own FAQ says a self-contained assignment may work without it (pricing FAQ). Ask, in writing, which parts of your first goal depend on it.
Start free
Run the spreadsheet count from the list above first. If the conflicts are few, a Make scenario on the Free plan that copies one source of truth into the other channels does the job, and its run history shows every record it touched (operations guide). If the count runs into hundreds and grows every week, that is the case Boost.space is built for.
Choose Boost.space if your job is
- Keeping one governed product record across shop, suppliers and marketplaces.
- Handing catalog enrichment, listings and pricing checks to a managed agent with a defined first goal.
Choose Make if your job is
- Automating lead routing, notifications or report rows between apps you already use.
- Building and owning the flows yourself, starting on a free plan.
If the deeper trouble is that five tools each hold their own version of the truth, that is a stack problem rather than a tool choice, and a one-week review such as the Startup Fixer, which I sell, looks at all of them.
FAQ
Does Boost.space replace Make?
No. Its docs present it as the data layer beneath integration platforms, and its own scenarios run on a Make account you connect (automation overview).
Can I buy Boost.space by card on a monthly plan?
Not from the pricing page as it stood on 26 October 2026: it offers Agent Launch and Agent OS, with the plan and capacity confirmed before purchase (pricing page).
Do the AI Credits cover my model costs?
Not automatically. They cover the Boost.space-managed features in the plan; AI provider usage, hosting and paid external services are separate unless the agreement includes them (pricing page).
ABOUT THE AUTHOR
I am Joris van Huët, an enterprise interim CMO. 15+ years, 50+ organizations, including ING, P&G, Nestlé, BNP Paribas, WeTransfer and Vinted. I take on innovation projects (venture building, design sprints), agentic marketing (setting up and running AI agents) and hands-on multi-channel work. See the track record.
I wrote and published this with AI assistance, and I answer for it. Claims about my own experience are limited to the track record above, and a statistic links to its source or is labelled as an example. I sell interim and fractional CMO work, which is why this site exists. How this site is written.
A senior operator doing the work: campaigns, channels, CRM and AI agents, live from day one.