Goro vs Make: operations pricing or pay per call?

Make is a visual automation platform: you draw a scenario on a canvas, wire up modules from a library of 3,000+ apps, and it runs on a schedule. Goro is a tool gateway for an agent: one connection to 77 tools that read the outside world, priced per call. Make sells the wiring. We sell what comes back.

What Make is

A Make scenario is a chain of modules with routers, filters and a schedule, editable in a browser by someone who has never opened a terminal. If you learned Make when the unit was called an operation, only the name changed: the pricing page now counts credits, and one credit is one module action. A module runs once per item it receives, so a fetch returning twenty results plus a step that writes each of them is twenty-one credits, not two. Free gives 1,000 credits a month and a 15-minute minimum between runs. Core is $9 a month at the entry tier of 10,000 credits, Pro $16 and Teams $29 at the same tier, annual billing saves 15% or more, and paid plans carry unlimited users.

What Goro is

Goro is one connection that gives an agent 77 tools across nine categories: social platforms, ecommerce, people and companies, search, maps, web pages, and image, video and voice generation. There is no account at the source and no API key to collect, because the credentials are ours. Signing up and browsing the catalog are free, and a plan, Build or Scale, fills one balance with included credit every month plus optional top-ups. Every call carries a price the agent can read before it runs, and a failed call is not charged. There is no canvas, no scheduler and no trigger. Your agent is the scenario.

So the two meet in one place and miss each other everywhere else. Make can call anything with an API through its HTTP app, and its MCP server lets an agent trigger the scenarios you built. What it does not sell is the news and search data itself, and a credit does not cover it.

Take a social listening agent that runs four times a day: 120 X searches at twenty posts each, 60 TikTok profile pulls at fifty posts each, 60 news searches at five articles each, and 120 web searches. On Goro that month costs $10.08, data included. On Make the same work is 6,180credits, which overshoots the Free plan's 1,000 and fits inside Core's 10,000 at $9 a month.

That credit count is a floor, not an estimate: one credit for each fetch, one for a single action on each item it returns, and routers are free. Add a format step and a write and it multiplies.

The caveat cuts against us as much as for us. The $9 is not the cost of this data, it is the cost of running the modules around it. None of these four sources is an app you hold an account for, so on Make you would reach them through the HTTP app or a directory app, each with its own bill on top of the plan fee. Read the $9 as the floor for the automation layer. The $10.08 is the whole bill.

Yes, and for a team that already lives in Make it is usually the right answer rather than a compromise. We fetch the outside world, Make routes the result into the software your company runs on.

If the scenario is in charge, point an HTTP module at our endpoint and let the rest of the scenario write the reply into the sheet, the CRM or the channel. Watch the shape of it, because the credit meter counts module runs per item: pull the batch in one request and hand it on whole, rather than iterating a hundred rows through three modules.

If the agent is in charge, give it both MCP connections. Ours for research and generation, priced per call and visible to the model. Theirs for the scenarios you have already built. The same split works with Zapier, and how the balance is funded is set out on the pricing page.