Depreciation Tracker

Given a make/model, segment, or geography, surface depreciation velocity, value retention, brand tier, geographic variance, or new-vehicle MSRP parity from MarketCheck sold-transaction aggregates. Five workflows mapped to distinct user intents, every output anchored on get_sold_summary (the only US tool that exposes aggregated sold-vehicle averages by month / segment / region), classified via deterministic Python scripts.

Five workflows map to distinct user intents:

• W1 — Make/Model Depreciation Curve — "how fast is the RAV4 losing value?" — multi-period sold-price trajectory (1yr / 6mo / 90d / 60d / current) + retention % vs MSRP (with prior-period fallback) + 5-band acceleration verdict + curve-shape classifier (linear / accelerating / stabilizing).
• W2 — Segment Value Trends — "are SUVs holding value better than sedans?" — body_type and/or fuel_type cross-period comparison, EV-vs-ICE delta, classification per segment (appreciating / stable / soft / accelerating_dep).
• W3 — Brand Residual Ranking — "which brands hold value best?" — per-make retention % over a 6-month window, tier classification (T1 ≥ 98% / T2 ≥ 95% / T3 ≥ 90% / T4 < 90%), tier-jump detection.
• W4 — Geographic Depreciation Variance — "where do Tacomas hold value best?" — state-level price index vs national average, premium / average / discount classification per state, top-5 / bottom-5 spread.
• W5 — MSRP Parity Tracker — "are markups coming down?" — new-vehicle price_over_msrp_percentage rollup, above / at / below status per make-model, cross-period direction (flipped_below / flipped_above / deepening / narrowing / stable).

Before you start