numeric-data-qc

name	numeric-data-qc
description	Check dates, units, currency, market anchors, formulas, and stale-data gaps before numbers drive investment reasoning.

Numeric Data QC

Use this procedure when numeric data, valuation inputs, market anchors, portfolio exposure, or risk limits affect readiness.

Required output shape:

• source date and retrieval date
• period alignment
• units and currency
• share count and per-share consistency when relevant
• source versus derived versus assumption labels
• current price or market anchor with as-of posture when relevant
• formula sanity checks
• stale or missing data readiness downgrade

Quality floor:

• Do not mix periods, units, currencies, or share bases silently.
• Label derived calculations and assumptions.
• Do not fabricate prices, metrics, formulas, or retrieval timestamps.
• Downgrade readiness when market anchors, source dates, or key numeric inputs are missing or stale.

Put the data-quality result near the top of the artifact so synthesis can see whether numeric claims are decision-ready.