Introducing the Nango API integrations builder skill
We built a skill for coding agents to build customer-facing integrations with any API on Nango
We built a skill for coding agents to build customer-facing integrations with any API on Nango
We have raised $7.5M lead by Gradient to build product integrations with AI
We are launching role-based access control on Nango and continuing to invest heavily in security, self-hosting, and scale for Enterprise teams
We built a new CLI command to pull pre-built integration templates into your local Nango project, then customize them with AI
We built a skill for coding agents to build customer-facing integrations with any API on Nango
We have raised $7.5M lead by Gradient to build product integrations with AI
A guide for backend engineers and technical product managers evaluating embedded iPaaS platforms for SaaS or AI products. It covers what embedded iPaaS is and how to choose an embedded iPaaS platform.
Whose credentials should your API integration use? The five identity models we see in production, and when to choose each one.
A comparison of unified API platforms for CRM/ERP integrations: Nango, Merge, Apideck, and Unified.to, evaluating custom object support, per-customer configuration, data syncs, and marketplace compatibility.
How to secure authentication for API integrations in AI Agents, explaining identity models, permission enforcement, and architecture patterns that hold up in production.
We built a background agent for API integrations. Here is what worked, what failed, and how we made it reliable.
A comparison of embedded iPaaS platforms: Nango, Prismatic, Albato, and Workato. Evaluating data syncs, AI tool calls, scalability, and developer experience.
A comparison of unified API integration platforms for AI agents and RAG pipelines, evaluating Nango, Merge Agent Handler, Pipedream Connect, and Arcade on auth, tool calls, data syncs, webhooks, and observability.
How to choose a flexible embedded integrations platform (iPaaS) that can handle API auth, accounts, webhooks, data syncs, and LLM tool-calls at large scales for modern AI products and complex API integrations.
This guide explains why AI agent tool calls fail during API integrations and outlines architectural improvements to enhance AI agent tool call reliability.
An architectural overview of preserving User access-control permissions and roles in API integrations for AI agents and RAGs
A technical comparison of the top AI integration platforms in 2026 for engineering teams building AI product integrations and agents.
Ship the integrations your customers need with 700+ APIs.
Code-first, fully customizable
& low maintenance.