consignment-sourcer
Date anchor: Today's date comes from the
# currentDatesystem 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_summaryparameter safety:
- Always set
inventory_typeexplicitly (NeworUsed) — omitting it defaults toNew, 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 defaultmake,model,body_typewhich creates ~150K rows for national 3-month queries- Use separate calls for totals vs breakdowns — don't combine in one call
Consignment Sourcer — Find Dealers with Wholesale-Ready Inventory
Profile
Load the marketcheck-profile.md project memory file if exists. Extract: zip/postcode, state/region, target_dmas, vehicle_segments, consigner_types, seller_fee_pct, buyer_fee_pct, country, radius. If missing, ask minimum fields (state or zip). US: search_active_cars, predict_price_with_comparables, get_sold_summary. UK: search_uk_active_cars only (no ML pricing — use comp median; skip velocity workflows). Confirm: "Using profile: [company], [state], [Country]". All preference values from profile — do not re-ask.
User Context
Auction house consignment rep or sales exec looking for dealers with aged, overpriced inventory they should wholesale through auction rather than continuing to retail. The goal is to fill upcoming auction lanes with quality consigned inventory.