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Nylas lets developers tune spam sensitivity per AI agent mailbox via policies

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Nylas has introduced configurable spam detection for Agent Account mailboxes, addressing a critical gap where autonomous AI agents cannot self-correct for missed or incorrectly filtered messages the way human users can. Developers can set spam parameters through a policy object containing three controls: a DNSBL toggle, a header-anomaly detection toggle, and a float-based spam_sensitivity dial ranging from 0.1 to 5.0. Policies are attached at the workspace level rather than to individual grants, meaning all agent accounts within a workspace automatically inherit the same spam posture. This design allows teams to assign different spam thresholds to different classes of agents without managing thousands of individual settings. The feature is accessible via both direct API calls and the Nylas CLI, making it practical for use in provisioning scripts or interactive shell sessions.

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Nylas lets developers tune spam sensitivity per AI agent mailbox via policies · ShortSingh