Trajectory projection for measuring ai agent autonomy: towards a scalable approach with code inspection. Data-driven prediction with confidence intervals, methodology transparency, and historical accuracy scoring.
Results synthesized from web crawls, academic citations (Semantic Scholar), patent filings (USPTO), corporate ownership records (SEC EDGAR, Companies House), software dependency graphs (npm, PyPI, crates.io), infrastructure records (DNS, TLS certificates, IP ranges), temporal archives (Wayback Machine), government datasets (Data.gov), and conversational sources (Hacker News, Reddit).