Everyone is building AI agents. But most of them are reasoning on stale data. Agentic AI depends on data freshness, yet most agents run on REST APIs that are pull-driven and inherently delayed.
Streaming APIs are the missing nervous system, but streaming API management has never caught up: no unified governance, no discoverability, no lifecycle management for event-driven data products.
Drawing on real-world experience at Aklivity, this talk covers why the REST mental model breaks for agentic AI, what a streaming-native API layer actually looks like, and how to expose Kafka topics as governed, developer-friendly APIs without turning every AI engineer into a Kafka expert.
Key takeaways:
1. Why streaming APIs are foundational, not optional, for production AI agents. 2. Where traditional API management platforms fall short for event-driven architectures. 3. Practical patterns for turning Kafka streams into governed API data products.
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