Nango helps AI applications access external data and APIs. It is commonly used to:

• Ingest data from 400+ APIs for Retrieval-Augmented Generation (RAG)
• Enable AI agents to take actions via API calls

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Video demo

Watch a video demo showing how to use Nango to power AI integrations:

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Data ingestion for RAG

For applications that require fresh external data:

• Continuous polling across 400+ APIs
• Real-time ingestion via high-frequency syncing and webhooks
• Full control over integration code for custom data processing

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API access for AI agents

For agents that interact with external APIs:

• Instant access to 400+ APIs and 600+ use cases
• Managed authentication (OAuth, API keys, etc.)
• API action introspection (reference)
• Action triggering (reference)

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Reliability and security

Nango provides infrastructure to build robust AI integrations:

• Logs, metrics, and alerts for visibility
• Automatic queuing and retries
• Granular scopes and permissions
• Selective data access (per integration and endpoint)

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How Nango uses AI

We also use AI internally to expand our integration catalog. In particular, it automates:

• Parsing API documentation
• Generation & review of integration code
• Generation of integration documentation
• Maintenance & testing of integrations