Vehicle Intelligence Enterprise-grade vehicle safety and intelligence platform. ## Features - VIN Decoding: 100+ data points from 17-character VIN - NHTSA Safety Ratings: 5-star NCAP crash test results - Recall Monitoring: Complete recall history with details - Consumer Complaints: NHTSA complaint database analysis - EPA Fuel Economy: Official MPG and emissions data - Safety Scoring: Automatic 0-100 vehicle safety score - AI-Powered Analysis: Expert recommendations and insights ## Data Sources (100% FREE, NO API KEY REQUIRED) | Source | Data Provided | |--------|---------------| | NHTSA vPIC | VIN decoding, 100+ data points | | NHTSA Safety | 5-star crash test ratings | | NHTSA Recalls | Complete recall database | | NHTSA Complaints | Consumer complaint reports | | EPA Fuel Economy | MPG, emissions, fuel costs | | GDELT Project | Automotive news monitoring | ## Input Parameters | Parameter | Type | Description | |-----------|------|-------------| | vin | string | 17-character Vehicle Identification Number | | make | string | Vehicle manufacturer | | model | string | Vehicle model | | year | integer | Model year (1980-2026) | | modules | array | Data modules to fetch | | include_ai_analysis | boolean | Enable AI recommendations | ## Vehicle Safety Score | Level | Score | Description | |-------|-------|-------------| | EXCELLENT | 80-100 | Outstanding safety record | | GOOD | 65-79 | Above average safety | | FAIR | 50-64 | Some concerns, review issues | | POOR | 35-49 | Significant problems documented | | CRITICAL | 0-34 | Major safety concerns | ## Output json { "timestamp": "2024-01-15T14:30:00Z", "vin": "1HGBH41JXMN109186", "make": "Honda", "model": "Accord", "year": 2021, "vehicle_score": { "score": 85, "level": "EXCELLENT", "description": "Outstanding safety record and reliability.", "recalls_count": 1, "complaints_count": 3 }, "vin_decode": {...}, "safety_ratings": { "overall_rating": "5", "overall_front_crash_rating": "5" }, "recalls": [...], "complaints": [...], "fuel_economy": [...], "ai_analysis": "Based on the safety data..." } ## Use Cases - Used Car Buyers: Pre-purchase safety check - Fleet Managers: Vehicle safety compliance - Dealers: Trade-in evaluation - Insurance: Risk assessment - Mechanics: Recall verification - Researchers: Safety trend analysis ## Example Usage bash # By VIN apify call vehicle-intel -i '{ "vin": "1HGBH41JXMN109186", "include_ai_analysis": true }' # By Make/Model/Year apify call vehicle-intel -i '{ "make": "Toyota", "model": "Camry", "year": 2022, "modules": ["safety", "recalls", "complaints"] }' ## Pricing Pay-per-event pricing: - $0.002 per vehicle report - $0.001 additional for VIN decode - AI analysis included when API key provided | Event | Price | |-------|-------| | vehicle-report | $0.002 base | | VIN decode | +$0.001 | | Default dataset item | $0.00001 | ## Disclaimer This tool provides vehicle safety information for research purposes. Always conduct a physical inspection and review complete vehicle history before purchase. Data accuracy depends on NHTSA reporting.