Comparable Price Estimator
Normalize prices from listings you personally supply to understand an indicative asking-price range.
Open tool →Evidence-led buying insights without hidden costs or server-heavy analysis.
Model prices from your own listings, evaluate evidence quality, examine risk indicators, prepare maintenance budgets, audit dealer quotes and compare ownership scenarios. All calculations run locally in your browser.
Normalize prices from listings you personally supply to understand an indicative asking-price range.
Open tool →Model service, tyre, brake and repair-reserve budgets over a chosen ownership period.
Open tool →Review supplied evidence across safety and history categories with explicit unknown-data coverage.
Open tool →Compare two vehicles using purchase price, running costs and estimated resale value.
Open tool →Reconcile an itemized dealer quote and compare the full out-the-door cost with your budget.
Open tool →Plan a transparent initial offer using your own comparisons, repair evidence and buying ceiling.
Open tool →Review the spread, freshness and mileage similarity of user-entered listings before trusting a price estimate.
Open tool →Explore best/base/worse ownership-cost assumptions, without pretending to forecast resale markets.
Open tool →This entire section is free and offline from your browser. Paid OpenAI-assisted price research belongs in Phase 7 and is not active here. Data-dependent national and auction integrations remain subject to authorization.