A Deeply Analytical System -- The Recorded-Analytics Inventory

"Deeply analytical" is easy to assert and hard to prove. So this page does not assert it -- it inventories it. There are 23 self-contained analytics modules under scripts/platformkit/analytics_showcase/, each of which runs once, reads real artifacts, writes a provenance-stamped JSON to out/, and renders a chart to docs/img/. Every one is catalogued with its artifact path and its honest caveat in docs/ANALYTICS_CATALOG.md. Below are four that speak to depth directly: the scale of the claims corpus, the raw pitch-level base the MLB metrics sit on, a market-microstructure measurement, and the answer engine's own coverage record. Each one is built so you can re-run it and get the same number. That is the only superlative this page will make: this is the most transparent version you can audit -- not the best in the world, the one whose every number you can trace to a file yourself.

Depth in a forecasting system is usually asserted through a headline metric. This system inventories it instead: 23 recorded analytics, a six-figure claims corpus with generated and validated volumes reported as separate numbers, a 693,037-pitch base under the MLB metrics, a microstructure measurement that discloses its own thinness, and an answer engine whose coverage number is honest because it refuses on purpose. Every one is a JSON file you can open and a module you can re-run. The full index with per-analytic caveats is docs/ANALYTICS_CATALOG.md. None of these four is a new proof, and each says so in its own output. The transferable thing is not any single number -- it is that the whole inventory is built to be audited row by row, each label written so a reader cannot come away with a rosier number than the file supports.