Returns a short-lived (15-min) download URL for a bulk Parquet object that can be piped directly into Python/DuckDB/Polars for high-throughput computation that exceeds the MCP context window. The URL streams the object straight from Valuein storage and supports HTTP range reads, so `duckdb.read_parquet(url)` / `pl.read_parquet(url)` work without downloading the whole file first. Datasets: fact (per-entity partition — requires ticker), ratio (all computed ratios, including the 'valuation' ratio category — price multiples, graham_number, ncav_per_share), filing (SEC filing metadata), references (company universe), index_membership (historical index composition). The standalone 'valuation' TABLE was removed (2026-09-14) — use compute_dcf for intrinsic value. Scoped to the caller's tier bucket; the link is signed and cannot be used to list the bucket or read other objects.
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