

Most platforms were built for a predictable caller: a human clicking buttons, or a script calling a fixed sequence of endpoints. Agentic AI breaks that assumption — an agent might call your API in an order you never designed for, retry in unexpected ways, or chain it with tools you don't control.
Platform teams are starting to design APIs that expose intent, not just actions — letting an agent describe a goal and letting the platform figure out the safest sequence of calls to get there, rather than trusting every caller to sequence things correctly.
An agent doesn't read your documentation. Your platform has to be safe by construction, not by convention.
Rate limiting and permission checks used to live mostly at the API gateway. With agentic callers, teams are pushing more of that logic into the core domain model itself, since an agent's "normal" usage pattern can look a lot like abuse from a traditional monitoring standpoint.
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