Problem

Nango solves the engineering and operational burden of building customer-facing integrations to external APIs. SaaS products and AI agents must connect to a long tail of systems whose authentication, pagination, rate limits, webhooks, data models, and behavior vary by provider. The pain is both ongoing maintenance and difficult integration economics: as customers demand more and deeper connections, per-connection pricing from third-party integration vendors can make expansion uneconomic. Unthread’s experience illustrates the killer use case: embedding CRM, project-management, and communications integrations deeply into a B2B product while retaining the flexibility to deliver real-time updates and customer-specific behavior.

Product / Service

Nango is an open-source, code-first integration layer for products and AI agents. Users connect external APIs through Nango, generate or write TypeScript functions, and let their application, backend jobs, or agents invoke those functions through Nango’s API, SDKs, or MCP server. Those functions can sync records, process webhooks, perform read-and-write actions, and expose selected operations as tools for agents.

The platform combines pre-built integration templates for 900-plus APIs with infrastructure for OAuth and credentials, token refresh, retries, rate-limit backoff, scheduled and incremental syncs, webhook ingestion, observability, and tenant isolation. It can be consumed as managed infrastructure or deployed from the open-source project, with transparent usage-based pricing and monthly terms. The benefit is faster integration delivery without surrendering control of the code, data model, or provider-specific functionality.

Market

Nango competes in developer infrastructure for product integrations, commonly described as embedded iPaaS, unified API infrastructure, or an integration platform for B2B SaaS and AI applications. Its closest alternatives include Merge, Paragon, Apideck, Unified.to, and Kombo. The distinction Nango emphasizes is that Paragon is oriented around low-code workflows and Merge around fixed unified APIs, whereas Nango is code-first, extensible, open source, and also supports custom AI-agent tool calls, MCP, syncs, and webhooks.

The company reports meaningful production traction rather than looking like a purely pre-revenue project: hundreds of fast-growing AI companies use Nango, its site claims 900-plus supported APIs and more than one million integrations, and it reports 99.9% uptime. On August 1, 2026, Nango announced a $7.5 million seed round led by Gradient, with participation from Horizon and Y Combinator, among others. The retrieved evidence does not provide a verified revenue figure, so the company’s adoption and funding are clearer than its exact commercial scale.