AI agents are supposed to automate marketing workflows at machine speed, but many martech platforms can barely support them. Behind the AI hype is a growing infrastructure problem: APIs built for humans clicking dashboards are becoming a bottleneck, preventing autonomous agents from working reliably across modern marketing stacks. A new public dataset from SaaStr — the SaaS founder community created by Jason Lemkin — quantifies the problem for the first time. The “SaaStr AI Agent API Report Card” grades 152 B2B software APIs on six criteria that matter when an AI agent is using them:  API design Events and streaming support  Authentication  Rate limits  SDK quality and documentation Agent readiness (whether the API is built to be safely operated by AI) Each is scored 0–10 for a maximum of 100, with letter grades from A+ down to F. The grades are based on independent evaluations by three AI models — Claude, GPT, and Gemini. Think of it as a compatibility score for the AI agent era.…