Best AI agent integration platforms (2026)

AI agent integration platforms help enterprises connect agents to SaaS and legacy systems through prebuilt connectors, managed authentication, API and MCP tool calling, and operational monitoring, with adoption driven by MCP growth, security and compliance requirements, and the difficulty of maintaining many integrations manually. The comparison reviews Composio, Nango, Arcade, Merge, and Workato across connector coverage, authorization, developer experience, observability, scalability, and pricing, positioning Composio for developer-focused agent applications, Nango for continuously synchronized data and RAG use cases, Arcade for MCP-based runtime authorization, Merge for regulated embedded SaaS integrations, and Workato for broad enterprise and legacy-system automation. While these platforms generally track call success, latency, and errors, the text argues that they do not measure whether agents achieve intended business outcomes, comply with governance rules, or degrade over time. It therefore presents outcome monitoring, behavioral-drift detection, decision audit trails, and business KPI tracking as a separate governance layer, promoted through Dataiku Agent Management, and recommends selecting platforms based on required actions, volume and latency, data residency, team skills, and proof-of-concept testing.

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