Spatial Atlas is a spatial-aware research agent built on compute-grounded reasoning (CGR): compute what can be computed deterministically, then let LLMs reason only about what must be generated. It operates as a single A2A server handling FieldWorkArena (multimodal spatial QA across factory, warehouse, and retail environments) and MLE-Bench (75 Kaggle ML competitions). A structured spatial scene graph engine extracts entities and relations from vision descriptions, computes distances and safety violations deterministically, then feeds computed facts to LLMs. Entropy-guided action selection routes queries through a three-tier frontier model stack, and a self-healing ML pipeline with score-driven refinement achieves an 82% valid submission rate and a 32% medal rate.