fastn - embedded integration platform for B2B SaaS and AI agents
fastn is the embedded integration layer for SaaS: your customers connect any system inside your product, with no engineering and no code per customer.
- Best for
- Customer-facing integrations
- Key capability
- Embedded connect button
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What is fastn?
fastn is the embedded integration layer for SaaS products. A SaaS company embeds a connect button once, and its customers connect the systems they use inside the product with no code per customer, while fastn builds, monitors and maintains the integrations. It also offers workflows, a unified API, integration agents and a gateway that gives AI agents governed access to connected systems.
Key features of fastn
fastn offers an embeddable connect button, versioned visual and code workflows, a unified API with one schema across systems, integration agents that build the mapping and an MCP gateway with governed tool access for AI agents, plus per-connection monitoring.
Embedded connect button
One embed gives your customers a connect button inside your product.
Workflows and unified API
Visual and code workflows, versioned, and one schema across systems.
Agent tool access
Permission-scoped, audited access for AI agents to every connected system.
Connection health
Per-connection health, logs and alerts inside your product.
Pros and cons of fastn
Pros
- Free Launch plan with no card required
- Priced per customer connection, not per call or workflow
- Per-customer field mapping, with code access when needed
Cons
- Paid usage grows with the number of customer connections
- Pricing details beyond basic plans are not fully transparent
Key use cases for fastn
Customer-facing integrations
Ship the integrations your customers ask for inside your SaaS product.
Tool access for AI agents
Give AI agents scoped, audited access to connected systems.
Closing integration requests in sales
Answer yes when prospects ask whether you integrate with a system.
Microservices Coordination
Helps coordinate microservices interactions through composable middleware layers, improving modularity and maintainability.
How fastn works
- 1
Embed the connect button
Add the fastn embed to your product once.
- 2
Customers connect their stack
Your customers connect the systems they run inside your product.
- 3
Data flows, monitored
fastn handles auth, mapping, retries and monitoring.
- 4
Iterate and Scale
Easily update and scale middleware compositions as application requirements evolve.
Who is using fastn
fastn pricing
Launch
$0
3 customer connections, unlimited connectors, workflows and seats, 50 AI credits per month.
Scale
$500/month ($6,000 billed annually)
10 customer connections included, then $50 each per connection.
Enterprise
Custom volume pricing
Custom capacity, bring your own model, maintainer agent, white-label embed, SSO/SAML and data residency.
Plans and prices are as published by the vendor and can change. Check the official site before you buy. Open the pricing page (opens in a new tab)
Frequently asked questions about fastn
The embedded integration layer for SaaS, letting your customers connect any system inside your product with no code per customer.
Per customer connection, meaning one customer signed in to one app, with no per-workflow fees.
Yes. AI agents get permission-scoped, audited access to connected systems, and any MCP client can be used.
Yes. Launch is free with 3 customer connections and unlimited connectors, workflows and seats.
It depends on your specific needs and how you plan to use the tool. The official website and documentation are the best sources for the latest details.
Integration support depends on the tool and its available connectors or API. Check the official documentation or integrations page to confirm what is supported.
Conclusion
SaaS companies use fastn to offer the integrations their customers ask for without writing code per customer. The product team embeds a connect button once, customers then link their own systems from inside the product, and fastn handles auth, mapping, retries and monitoring. Field and object mapping can differ per customer, and engineers can drop into code when needed.
Beyond customer-facing connectors, an MCP gateway gives AI agents permission-scoped and audited access to the same connected systems. Versioned workflows and a unified API with one schema sit alongside, and each connection reports its own health, logs and alerts. Billing counts customer connections rather than calls or workflows, so a free Launch tier covers the first three and costs then rise with the number of connected customers.
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