Built on Alberta TRACE.

TRACE — Targeted Review of Alberta's Contracts and Expenditures — is a program of the Alberta Ministry of Technology and Innovation. It uses agentic AI on open government datasets to identify patterns of interest in public spending: charity funding loops, ghost-capacity entities, sole-source amendment growth, and several others. TRACE's data outputs (entity matching, loop detection, anomaly flags) are published in the cra.* and general.* schemas of the read-only Render replica that Glassbox queries.

Source citation: Nate Glubish, “We're taking Alberta's AI to Ottawa”, Substack, April 13 2026.

• Federal corpus expansion. TRACE is built on Alberta provincial data; Glassbox extends every TRACE-derived pattern to the 1.27 M-row federal grants & contributions corpus.
• Calibrated-language discipline. Every Glassbox output passes the calibration sweep — no “fraud”, no “clearly shows”, no “should have”, no causal claims. Patterns surface correlation and observation, not guilt.
• Audit-token provenance. Every output carries an audit token chained to the source data tokens, so the “why this match?” trail can always be walked back.
• Public-facing UX. TRACE is an internal review program. Glassbox is its public interface — searchable, browsable, citable.

Which Glassbox surface uses which TRACE data product:

Glassbox is designed to align with Alberta's public-sector AI policy: sovereign compute (no third-party AI for pattern detection — calibration enforcement is local regex, semantic retrieval is opt-in), open-source models, audit trails on every output, and accountability via citation rigor. See the compliance mapping for the line-by-line policy correspondence.

Alberta Ministry of Technology and Innovation has not endorsed Glassbox. We credit the TRACE methodology lineage; we do not claim partnership. Glassbox observations from public records are not findings of misconduct.