Search the local historical database of collected listings with rich filters, geography and pagination.

Run a fresh marketplace search (stores everything with history), then return matching listings from the local DB including ones seen earlier. Use for up-to-the-minute results.

Full listing record with price history, change events, description flags, vehicle link and same-vehicle candidates.

A physical vehicle (dedupe cluster) with all listings that were matched to it across marketplaces/time.

Listings first observed since a given time (newest first).

Price/mileage/status snapshots and the derived summary (days on market, drops, absolute/percent change).

Change events across the database (or for one listing) within a window.

Comparable-price analysis: sample size, median/mean/quartiles, mileage-adjusted median, manual/AWD/dealer premiums, subject percentile and methodology. Pass a listing_id OR a vehicle spec.

Side-by-side comparison of several listings: key facts, comps position, project score, deal signals and description risk flags.

Rank listings by deal signals and/or project-car score: comps position, price drops, time on market, seller, description risk flags — each item carries reasons, risks, risk_flags, project_score. Use sort_by='project' + a profile to answer 'best project cars'.

Listings whose asking price dropped by >= min_pct within the window (single or cumulative drops).

Active listings on the market for at least min_days (optionally with several price cuts).

Everything about one listing: full record, price history, description risk/positive flags with evidence, comparables, project-car score with component explanations, deal signals.

Project-car score (0-100) with per-component scores/weights/explanations under a named or custom profile.

Market analytics: median prices over time / by mileage / by group, manual & AWD premiums, dealer vs private, cheapening models, turnover, long-sitting.

Saved (monitored) searches with schedule state.

Create or update a saved search that the scheduler reruns; alerts fire on new matches, price drops, deals.

Run a saved search now: crawls incrementally, returns new listings (with deal/project scores) and any alerts triggered.

Delete a saved search.

Recent alerts (new matches, price drops, target price, rare manuals, deal scores) with reasons.

Collector health: DB counts by source/province, recent runs, HTTP metrics, provider capabilities.

Supported generation/chassis labels per make/model (for the generation filter) and scoring profiles.

Cache the listing's photos (sha256 + perceptual hash) and run the pluggable vision backend (checklist: rust, rockers, paint mismatch, damage, interior, warning lights, mods, tires, stance, engine bay).