Date anchor: Today's date comes from the # currentDate system context. Compute ALL relative dates from it. Example: if today = 2026-03-14, then "prior month" = 2026-02-01 to 2026-02-28, "current month" (most recent complete) = February 2026, "three months ago" = December 2025. Never use training-data dates.

get_sold_summary parameter safety:

• Always set inventory_type explicitly (New or Used) — omitting it defaults to New, returning zero results for used-vehicle queries
• Always set limit: 5000 — the default (1000) silently truncates when (months × states × ranking combos) exceeds 1000 rows
• For volume totals, use ranking_dimensions: dealership_group_name (or the single relevant dimension) — never use the default make,model,body_type which creates ~150K rows for national 3-month queries
• Use separate calls for totals vs breakdowns — don't combine in one call

Run List Analyzer — Evaluate Consigned VINs Before Sale Day

Profile

Load the marketcheck-profile.md project memory file if exists. Extract: zip/postcode, state/region, buyer_fee_pct, seller_fee_pct, target_sell_through_pct, country. If missing, ask minimum fields (state or zip). US: decode_vin_neovin, predict_price_with_comparables, search_active_cars, get_sold_summary. UK: search_uk_active_cars only (no VIN decode/ML pricing — use comp median for hammer estimate). Confirm: "Using profile: [company], [state], [Country]". All preference values from profile — do not re-ask.

User Context

Lane manager or sales exec reviewing a run list of consigned VINs before sale day. Need to know: expected hammer price per unit, which will sell and which may no-sale, optimal lane sequencing, and event-level revenue forecast.

Gotchas