Modern lossless compression enforces an acute dichotomy: industrial streaming codecs (e.g., Zstandard) prioritize throughput (10 to 1000 MiB/s) at the expense of ratio, while context-mixing algorithms achieve superior density at serial speeds (0.1 to 1 MiB/s). We present GPX, an adaptive multi-tier compression architecture for structured data streams. GPX operates transparently across arbitrary stream lengths (N >= 1,024 B, identity fallback below 1 KiB), combining an autonomous structural decision probe (6.7--486.2 us across 49 benchmark instances, median 31.6 us, <0.05% overhead), cache-tiled AVX2 SIMD reversible domain transforms, multi-hypothesis sequence optimization with in-flight frame MDL gating, and adaptive entropy boundaries. On canonical Silesia (202.12 MiB) under a 7-repeat protocol (W = 6 pinned P-cores), GPX Track A produces standard RFC 8878-compliant .zst streams compressing to 56.20 MiB at 191.44 MiB/s with native line-speed decompression (5,182.79 MiB/s at W=6, 1,706.52 MiB/s at W=1 on unmodified libzstd, representing 124.1% single-core speed of Stock Level 9). GPX Track B achieves 54.49 MiB at 299.23 MiB/s (CI [295.3, 305.7]) with 4,919.14 MiB/s decode, strictly dominating Stock Levels 9--14 across size and speed (1.04x faster and 1.95 MB smaller than Level 9; 151.78 KB smaller and 8.24x faster than Level 14). GPX Track A+B achieves 54.37 MiB at 204.87 MiB/s (CI [199.6, 210.3]) with 4,599.00 MiB/s decode, strictly dominating Levels 10--14 under 95% Bootstrap CIs (276.07 KB smaller than Level 14, 1.19x to 5.64x faster). Generalization is confirmed across 6 suites (49 instances, 48 streams): Canterbury (-0.65%), Calgary (-1.66%), PE binaries (-14.10%), and Transformer BFloat16 tensors (-10.61%, saving 3.28 MB vs Stock L9). Downstream SIMT nibble unpacking sustains 103.62 GiB/s (1.05x PCIe speedup). All outputs are bit-exact verified via SHA-256.

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