Use Gumloop when a team wants to build and deploy AI agents that use its tools and company knowledge, then automate them with triggers, schedules, and APIs. Use Edgaze when a workflow creator wants to publish the finished system as a priced product that outside buyers, applications, and agents can discover and run.
Gumloop and Edgaze both reduce the work required to build AI workflows. Gumloop centers the builder and team automation experience. Edgaze centers the published product, its distribution, its buyer experience, and creator revenue from successful runs.
Creators commercializing AI workflows and customers buying a clear, hosted outcome with a visible price per run.
Teams building no-code AI workflows, agents, and internal automations with prebuilt nodes, integrations, triggers, and interfaces.
Checks mark a native capability, crosses mark a capability the platform does not publicly offer in this form, and a dash marks a different or usage-dependent model. The detail matters more than the symbol.
EdgazeGumloopEdgazePublished products include a buyer-facing input and result experience.
GumloopGumloop Hosted Pages can expose agents through a shareable web interface.
EdgazeThe marketplace is a native discovery and commerce surface.
GumloopGumloop provides templates and shared resources; resale per workflow run is not its central model.
EdgazeSuccessful paid runs can create creator earnings.
GumloopPublic positioning centers subscriptions for teams building their own agents.
EdgazeThe displayed price is quoted before the selected product runs.
GumloopGumloop credits meter usage; agent cost can vary with tokens and tool use.
EdgazeAll three interfaces point to the same published version and price.
GumloopGumloop exposes several deployment surfaces, but not one buyer marketplace identity with per-run settlement.
EdgazeWorkflow Studio connects models, tools, logic, and outputs visually.
GumloopGumloop provides a visual drag-and-drop workflow builder.
EdgazePublished marketplace and API runs use Edgaze-managed execution.
GumloopGumloop hosts flows and agent execution.
EdgazeEdgaze publishes workflows that outside agents can discover and invoke.
GumloopGumloop Agents combine connectors, knowledge, skills, and workflows for a team.
EdgazeThe Edgaze REST API covers product inspection and durable runs.
GumloopGumloop offers REST APIs plus official Python SDK and JavaScript SDK clients.
EdgazeAgents discover, inspect, fund, and run eligible marketplace products.
GumloopThe Gumloop MCP server connects compatible AI clients to Gumloop.
These are not generic feature claims. They describe what Edgaze adds when the workflow needs to become a product that can be discovered, purchased, and operated outside the team that built it.
EdgazePublishing makes the product discoverable to outside buyers with a page, price, purchase, and hosted run path.
GumloopGumloop is positioned around organizations building and deploying their own agents and automations.
EdgazeThe web page, Edgaze REST API, and Edgaze MCP all resolve to one published product and immutable version.
GumloopHosted Pages, APIs, SDKs, and MCP are available, but they are not tied together by a paid creator marketplace listing.
EdgazeThe buyer sees the selected workflow's displayed price before authorizing the run.
GumloopWorkflow credits are predictable in many cases, while Gumloop documents variable agent costs from tokens and tool use.
EdgazeA successful paid run flows through the platform's creator settlement model.
GumloopGumloop pricing supports customers operating automations for their own work rather than third-party creator payouts per run.
The table compares the products as they are publicly positioned today. Features and pricing can change; source links and the review date are below.
| Topic | Edgaze | Gumloop |
|---|---|---|
| Primary job | Publish, sell, discover, and run workflow products. | Build and deploy AI agents, then automate them with triggers and schedules. |
| Audience | Creators, buyers, developers, and agent users. | Automation builders, operations teams, and organizations adopting AI workflows. |
| Builder | Visual graph plus product publishing and marketplace setup. | Visual drag-and-drop workflow builder with a broad node library. |
| Agents | External agents can discover and run marketplace workflows through MCP. | Gumloop Agents orchestrate connectors, knowledge, skills, and workflows for a team. |
| MCP | A distribution surface for discoverable published products. | The Gumloop MCP server connects compatible AI clients to Gumloop, while hosted and custom MCP connectors can become agent tools. |
| Marketplace | Commerce is native: public product pages, pricing, purchases, and creator payouts. | Provides templates and shared automation resources; workflow resale is not the central product model. |
| Pricing | Buyer pays the displayed price for a selected workflow run. | Gumloop credits meter workflow and agent activity: workflow costs are designed to be predictable, while agent cost varies with tokens and tool use. |
| API | The public catalog and run lifecycle are designed for application integration. | The Gumloop API can create agents, start sessions, and trigger automations; official Python SDK and JavaScript SDK clients are available. |
| Hosting | Marketplace and API runs use Edgaze's managed runtime. | Gumloop hosts agent execution and can publish agents as Hosted Pages, Slack apps, Teams experiences, or email inboxes. |
| Commercial model | A creator earns from successful runs of a published product. | Customers subscribe to build and operate automations for their own work. |
Gumloop offers a polished environment for AI workflows and Gumloop Agents, including connectors, Agent Triggers, company knowledge, skills, hosted interfaces, and an expanding library of tools. It is a credible option for teams that want to assemble and deploy AI automation without writing the full system in code.
Edgaze asks what happens after the workflow works. Publishing creates a product that can be presented to buyers, priced, versioned, discovered in a marketplace, and called from the web, API, or MCP. That downstream distribution layer is the main reason to choose it.
Gumloop helps customers create agents and connect them to tools. Edgaze helps creators expose finished workflows to agents as discoverable tools. One starts with the organization assembling an agent; the other starts with a product catalog an agent can search and use.
Neither model is universally better. Internal automation teams may prefer Gumloop's integrated building environment. Independent workflow creators and applications consuming third-party workflow products may prefer Edgaze's publication and commerce model.
Selling workflow runs requires more than sharing a template. Buyers need a clear explanation, stable input schema, visible price, demo or proof, versioning, run status, and rules for failed execution. Edgaze's product and billing surfaces are designed around that transaction.
Yes for teams or creators focused on publishing and selling hosted workflow products. Gumloop may be the better choice when the main job is building internal no-code AI automations and agents.
Yes. Gumloop documents webhooks, REST APIs, SDKs, and MCP-related tools for triggering and managing flows. Edgaze's API distinction is its direct relationship to the public marketplace product and pricing model.
Edgaze is purpose-built for creator product pages, marketplace discovery, paid runs, and creator earnings. Gumloop's public positioning centers organizational workflow and agent building.
Both provide managed cloud execution. Edgaze packages that runtime together with a buyer-facing product, payment, and distribution surface.
Gumloop's no-code builder may be the better fit when the team wants to construct its own automation. Edgaze can be simpler when the team wants to run an already-built product rather than maintain a workflow graph.
Browse creator-built workflow products, inspect the inputs and price, and run the one that fits.
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