ASIN (Assessment of Spatial Intelligence) is a green-agent benchmark that evaluates an agent’s ability to navigate a real-world Manhattan (NYC) route using two visual modalities: a static 2D map showing the reference route and waypoint markers, and a first-person Street View image from the agent’s current location and heading. The evaluated agent must iteratively choose low-level control actions—move forward (f, 15m), turn left/right (l <deg>, r <deg>), or finish (q)—to follow the intended route and stop near the destination under a step budget. Performance is scored by route adherence (deviation from the reference polyline), progress along the route, and final distance to the target, rewarding successful completion and robust recovery from navigation errors.