---
title: Edgaze vs Make | Which Is Best For You?
description: Compare Edgaze and Make across visual workflow building, AI agents, MCP, API access, hosting, marketplace distribution, pricing, and workflow ownership.
source: https://www.edgaze.ai/compare/make
last_reviewed: September 14, 2026
type: comparison
---

# Edgaze vs Make | Which Is Best For You?

Use Make when your team wants a visual-first platform for building scenarios across a large integration catalog. Use Edgaze when the workflow itself should be packaged, priced, discovered, and run as a creator product rather than assembled by every customer.

## Short answer

Make is the stronger general-purpose visual automation suite. Edgaze is the stronger fit when distribution, product presentation, creator monetization, and purchase-per-run access are central requirements.

## Edgaze is best for

Productizing AI workflows for marketplace buyers and exposing the same published run through product pages, REST APIs, and MCP.

## Make is best for

Teams visually designing business automations and AI scenarios across a broad library of apps, routers, filters, and operational controls.

## Capability grid

### Product and commerce

| Capability | Edgaze | Make |
| --- | --- | --- |
| Public page for a finished workflow product | Yes — Publishing produces a buyer-facing product and run experience. | No — [Make templates](https://www.make.com/en/templates) are starting points for scenarios, not purchases of hosted third-party outcomes. |
| Buyer-facing workflow marketplace | Yes — Marketplace discovery leads directly to inspection, funding, and execution. | No — Make's public catalog centers integrations and scenario templates. |
| Creator earnings from successful runs | Yes — A creator can earn from successful paid product runs. | No — Scenario executions are not sold through a native creator settlement layer. |
| Workflow-specific price visible before execution | Yes — The [displayed price](https://www.edgaze.ai/docs/billing/run-a-workflow) is attached to the published workflow product. | Different model — [Make pricing](https://www.make.com/en/pricing) uses [credits](https://help.make.com/credits); most app operations use one credit and hosted AI can add token-based usage. |
| One commercial product across web, API, and MCP | Yes — Human, application, and agent runs share one published product identity. | No — Make exposes scenarios through several interfaces, but not as one paid third-party marketplace product. |

### Building and operation

| Capability | Edgaze | Make |
| --- | --- | --- |
| Visual workflow builder | Yes — [Workflow Studio](https://www.edgaze.ai/docs/builder/workflow-studio) builds a graph that can be published as a product. | Yes — Visual scenario design is a core Make strength. |
| Managed cloud execution | Yes — Edgaze manages eligible marketplace, API, and MCP runs. | Yes — Make runs scenarios on its managed cloud platform. |
| Broad prebuilt integration catalog | Different model — Edgaze combines focused blocks, HTTP, and reusable workflows. | Yes — [Make integrations](https://www.make.com/en/integrations) are a major general-purpose automation advantage. |
| Scenario or workflow API | Yes — The [Edgaze REST API](https://www.edgaze.ai/docs/api) discovers products and manages the run lifecycle. | Yes — The [Make scenario API](https://developers.make.com/api-documentation/api-reference/scenarios) creates, runs, activates, and manages scenarios. |
| MCP access | Yes — [Edgaze MCP](https://www.edgaze.ai/docs/mcp) exposes an evolving marketplace catalog and paid run path. | Yes — [Make MCP Server](https://www.make.com/en/mcp) connects external AI systems to Make scenarios. |

## Where Edgaze changes the equation

### Publish the scenario as a finished product

- **Edgaze:** [Workflow Studio](https://www.edgaze.ai/docs/builder/workflow-studio) publishing adds a public page, input contract, immutable version, price, and buyer run path.
- **Make:** A Make template helps a customer construct a scenario; it does not sell the finished scenario run as a third-party product.

### Give every channel the same contract

- **Edgaze:** Marketplace, [Edgaze REST API](https://www.edgaze.ai/docs/api), and [Edgaze MCP](https://www.edgaze.ai/docs/mcp) calls resolve to the same published workflow version.
- **Make:** Make supports APIs and MCP, but those surfaces are centered on scenarios owned and maintained by the customer.

### Make the commercial decision legible upfront

- **Edgaze:** A buyer sees the workflow-specific [displayed price](https://www.edgaze.ai/docs/billing/run-a-workflow) before the run begins.
- **Make:** Make usage is expressed in [credits](https://help.make.com/credits) and can vary with operations and hosted AI token consumption.

### Let the creator maintain the logic once

- **Edgaze:** The creator releases new immutable versions while buyers continue consuming the product rather than editing its graph.
- **Make:** Make customers or implementation teams normally configure and maintain their own scenarios.

## Detailed comparison

| Topic | Edgaze | Make |
| --- | --- | --- |
| Primary job | Create and distribute runnable workflow products. | Design and operate visual automation scenarios. |
| Visual builder | [Workflow Studio](https://www.edgaze.ai/docs/builder/workflow-studio) builds publishable AI products. | Visual scenario design is a core and mature product strength. |
| App ecosystem | Focused workflow blocks, HTTP access, and reusable published workflows. | [Make integrations](https://www.make.com/en/integrations) provide a broad catalog of application modules for triggers, actions, search, and data transformation. |
| Marketplace | A buyer-facing marketplace with paid runs and [creator earnings](https://www.edgaze.ai/docs/sell-everywhere). | [Make templates](https://www.make.com/en/templates) help users start scenarios; they are not primarily sold as per-run third-party products. |
| Pricing unit | Workflow-specific price shown before execution. | [Make pricing](https://www.make.com/en/pricing) uses [credits](https://help.make.com/credits): most non-AI app operations consume one credit, while Make-hosted AI features can add token-based usage. |
| AI agents | Agents call published products through the marketplace-oriented MCP surface. | Make includes [Make AI Agents](https://www.make.com/en/ai-agents) and Maia alongside its automation platform. |
| MCP | Catalog search, product inspection, and execution are available through [Edgaze MCP](https://www.edgaze.ai/docs/mcp). | [Make MCP Server](https://www.make.com/en/mcp) connects external AI systems to Make scenarios. |
| API | Discover products, inspect schemas, create runs, watch status, and receive webhooks. | The [Make scenario API](https://developers.make.com/api-documentation/api-reference/scenarios) can create, run, activate, inspect, and manage scenarios and their interfaces. |
| Hosting | Edgaze manages published marketplace and API runs. | Make runs scenarios on its managed cloud platform, with enterprise connectivity options. |
| Who maintains logic | The creator maintains the published product; buyers consume a versioned run. | The customer or implementation team maintains its scenarios. |

## Both are visual, but the destination is different

Make's visual canvas is designed to help a team map and operate its own processes. Routers, filters, schedules, data mapping, and a large module ecosystem make it a capable automation environment from prototype through enterprise use.

Edgaze [Workflow Studio](https://www.edgaze.ai/docs/builder/workflow-studio) also uses a graph, but publishing moves the result into a commerce system. The workflow gains a public page, version, input envelope, run price, buyer experience, API identity, and agent-accessible tool surface.

## Do not compare MCP as a yes-or-no feature

Make publicly offers [Make MCP Server](https://www.make.com/en/mcp) and [Make AI Agents](https://www.make.com/en/ai-agents). The meaningful comparison is what each MCP endpoint exposes. Make connects an AI system to scenarios and the automation platform. Edgaze lets an agent search a marketplace of published products, inspect the selected workflow, see the terms of the run, and execute it.

For an internal operations team, Make's approach may be exactly right. For a workflow creator seeking distribution to agents they do not control, Edgaze's marketplace model is the more relevant distinction.

## The buyer experience is the dividing line

A Make user generally opens the platform to build or manage a scenario. An Edgaze buyer generally opens a product page to understand an outcome, supply inputs, confirm a [displayed price](https://www.edgaze.ai/docs/billing/run-a-workflow), and run it. That difference affects design, billing, permissions, and how much technical context the end user needs.

## Frequently asked questions

### Is Edgaze an alternative to Make?

Edgaze is an alternative when the desired outcome is a published, purchasable AI workflow product. Make remains the stronger choice for broad visual automation that your own team builds and manages.

### Does Make have AI agents and MCP?

Yes. Make offers AI Agents and an MCP server. Edgaze differentiates around [marketplace discovery](https://www.edgaze.ai/docs/sell-everywhere), creator distribution, and a shared paid product identity across human, API, and agent runs.

### Which has the larger integration catalog?

Make has the larger established integration catalog. Edgaze focuses on composing AI workflows and turning them into hosted products.

### How do their pricing models differ?

Make sells platform plans with credit allowances. Edgaze displays a product-specific price before each paid workflow run and settles creator margin on successful runs.

### Can an Edgaze workflow run without showing its graph to the buyer?

Yes. Buyers use the published input and result experience; the creator's editable [Workflow Studio](https://www.edgaze.ai/docs/builder/workflow-studio) graph is not the buyer interface.

## Sources

- [Edgaze: sell to humans and agents](https://www.edgaze.ai/docs/sell-everywhere)
- [Edgaze: managed execution](https://www.edgaze.ai/docs/managed-execution)
- [Edgaze pricing](https://www.edgaze.ai/pricing)
- [Edgaze MCP](https://www.edgaze.ai/docs/mcp)
- [Edgaze REST API](https://www.edgaze.ai/docs/api)
- [Edgaze Workflow Studio](https://www.edgaze.ai/docs/builder/workflow-studio)
- [Edgaze run pricing and billing](https://www.edgaze.ai/docs/billing/run-a-workflow)
- [Make pricing](https://www.make.com/en/pricing)
- [How Make credits work](https://help.make.com/credits)
- [Make integrations](https://www.make.com/en/integrations)
- [Make scenario templates](https://www.make.com/en/templates)
- [Make AI Agents](https://www.make.com/en/ai-agents)
- [Make MCP server](https://www.make.com/en/mcp)
- [Make API documentation](https://developers.make.com/api-documentation)
- [Make scenarios API](https://developers.make.com/api-documentation/api-reference/scenarios)

Last reviewed: September 14, 2026