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Data transparency

English is provided for convenience. Where German and English versions differ, the German text takes precedence for legal interpretation.

This page explains which data classes Immowiser uses for decision support, how freshness is assessed, and the limits of data quality.

1) Source classes

2) Update cadence and freshness

Published indicators should carry a date or “as-of” window where possible. Sources without a timestamp are assessed conservatively.

Different sources refresh at different speeds (monthly, quarterly, ad hoc). There is no uniform real-time guarantee.

Plan boundaries are also enforced technically (for example Free scenario-attempt limits and gated workflow depth).

3) Confidence logic (high / medium / low)

High ; Source is clear, dated, methodologically traceable, and current.

Medium ; Source is plausible but has partial uncertainty (e.g. interpolation, partly older reference dates).

Low ; Limited coverage, unclear methodology, or a strongly outdated time reference.

4) Methodological limits

Immowiser produces deterministic model indications. Outputs remain dependent on inputs, data quality, market dynamics, and legal changes.

Optional AI-assisted hints (when enabled) never replace deterministic checks or your verification duties.

The platform does not replace individual legal, tax, financial, or investment advice.

5) Related policies

This page complements the central privacy policy and explains source, freshness, and confidence methodology.

Document policy (searchable text sources only).

Updated: April 2026 · Version: v1.1