What is the Data Quality Score (DQS)?
The Data Quality Score is a 1–10 rating on every analysis that measures source accuracy, hallucination resistance, and analytical consistency — so when the underlying data is thin or stale, you’re told, rather than handed false precision on a company that hasn’t filed in 18 months.
It is a confidence-in-the-inputs metric, separate from the verdict: a name can be attractive and still carry a lower DQS if its filings are sparse — the score flags exactly which inputs are estimated or unverifiable.
Calibration: roughly 7+ means well-sourced; below 6 means some inputs are estimated/unverifiable, with the audit trail naming which. No company scores a 10 — perfect certainty isn’t claimable on this kind of metric.
It is the trust anchor under every other public number — the RR Score and 9-Factor score should be read alongside the DQS that qualifies them.
Worked example
- WDO.TO — DQS 7.8, highest of the public set — see it sit on the card next to the RR Score and 9-Factor; a 7.8 vs a 7.2 signals deeper source coverage.