Competitive Pricer
Real-time price positioning against live market comparables
Purpose
Competitive Pricer pulls live market data to tell you exactly where your asking price stands against every competing unit within your radius — franchise and independent. It decodes the VIN, runs dual ML price predictions, scans active comps, and pulls 90-day sold velocity so you have both the current market price and the trend behind it.
The skill goes beyond a simple comp table. It calculates your percentile rank, DOM distribution, months of supply, and price-drop velocity across your competitive set — then delivers a clear Below/At/Above Market verdict with a one-sentence recommended action and estimated dollar impact.
How It Works
Execution flow. MCP tool calls are shown inline on each step.
Load dealership profile: ZIP, radius, dealer_type, franchise_brands, default_inventory_type, CPO program. Confirm market anchor and dual-pricing setup (franchise + independent).
decode_vin_neovinDecode the VIN to confirm year, make, model, trim, body type, drivetrain, engine, and transmission. Present specs for user confirmation before pulling market data.
↔ Parallel Execution
predict_price_with_comparablesGet predicted market price from the franchise dealer perspective — this is the primary benchmark for franchise dealers.
predict_price_with_comparablesGet predicted market price from the independent dealer perspective simultaneously, providing wholesale-proxy context.
↔ Parallel Execution
search_active_carsPull all competing active listings sorted by price ascending, filtered by YMMT and radius. Skip any listing where price is 0 or missing. Also pull same-type dealer comps separately.
search_past_90_daysPull 90-day sold data for the same YMMT in the same market to calculate months of supply and price trend direction.
get_sold_summaryGet state-level sold summary ranked by average days to sell to establish market velocity benchmarks.
Calculate percentile rank, DOM distribution (Fresh/Aging/Stale), months of supply, and price-drop velocity. Deliver Below/At/Above Market verdict with dollar-impact recommendation.
MCP Tool Calls
| Tool | Calls | Purpose |
|---|---|---|
decode_vin_neovin | 1 | Decode VIN to extract year/make/model/trim/body type for comp search |
predict_price_with_comparables | 2 | Dual ML price predictions: franchise (primary) and independent (cross-market context) |
search_active_cars | 2-3 | Active comp listings sorted by price asc, plus price-drop count scan |
search_past_90_days | 1 | 90-day sold data for velocity, average sale price, and months of supply |
get_sold_summary | 1 | State-level sold summary for average days to sell benchmarks |
Example Output
COMPETITIVE PRICE ANALYSIS 2023 Honda CR-V EX-L AWD | VIN: 5J6RS3H7XPL002510 ZIP: 75201 (Dallas, TX) | Radius: 75mi | Type: Franchise ════════════════════════════════════════════════════ PRICE DISTRIBUTION (trim comps, 75mi) Min: $25,499 Q1: $27,200 Median: $28,247 Q3: $29,800 Max: $32,500 Mean: $28,190 StdDev: ±$1,640 ACTIVE SUPPLY: 12 units (trim) | 47 units (all CR-V trims) SOLD (90d): 18 units | Avg Sale Price $27,855 | Avg DOM 29d MONTHS OF SUPPLY: 2.0 months [seller's market] PRICE DROP ACTIVITY: 4 of 12 comps (33%) have reduced price YOUR PRICE POSITION Your Price: $28,441 Franchise Mkt Price: $28,602 (8 comps) Independent Mkt Price: $27,340 (4 comps) Gap vs Franchise Mkt: -$161 (0.6% below — AT MARKET) Percentile Rank: 54th (priced below 46% of comps) Units within ±5%: 7 competing units COMPETITIVE SET Dealer Type Price Miles DOM Dist vs Median Drop? Honda Dealer Irving F $28,441 29,650 28 12mi +0.7% No ← You Toyota DFW F $26,999 44,771 30 8mi -4.4% Yes CarMax Dallas I $27,999 39,200 15 14mi -0.9% No AutoNation Frisco F $29,500 35,000 67 22mi +4.4% Yes DOM DISTRIBUTION Fresh (0-30d): 7 units (58%) | Aging (31-60d): 3 (25%) | Stale (60+d): 2 (17%) VERDICT: AT MARKET — Hold or reduce $200 to split CarMax
Cost Estimate
100 price checks/month ≈ $3 – $12/month
Limitations
- US market only for full functionality (VIN decode, ML prediction, sold data). UK dealers receive comp-median pricing only.
- ML prediction accuracy depends on comparable VIN availability — rare trims or low-volume models may return lower-confidence predictions.
- Price filter excludes $0 listings, but unpriced inventory is not counted in supply totals, which may understate actual competition.
- CPO premium calculations require a separate prediction call with is_certified=true — adds one additional API call if applicable.
- Sold data is aggregated by YMMT; highly modified or rare-spec units may not have accurate sold comparables.
- Radius is set from profile (minimum 75 miles enforced) — very rural markets may draw comps from greater distances than expected.
More in the Dealer Plugin
Three-source comparable-backed valuation for trade-ins and acquisitions
View details →Demand-to-supply ratios and aging alerts across your lot
View details →Source best-priced vehicles for buyers with negotiation leverage
View details →Quick one-command price check for any VIN or vehicle description
View details →Same Capability, Different Plugin
These skills share the same underlying methodology but are tuned for a different audience.
Same pricing methodology extended across multiple rooftops with group-level context and inter-store comparison
View in Dealership Group →Appraisal-context pricing framed for formal valuation reports — retail vs wholesale spread with defensible comp citations
View in Appraiser →