QuickMechs uses machine learning and real repair data to deliver instant, accurate vehicle repair cost estimates through a simple REST API.
A complete prediction engine with multi-model AI, real repair data, and developer-first tooling.
Combines Gemini and DeepSeek predictions with local data averages for the most accurate repair cost estimates.
Built on 100k+ actual repair transactions across thousands of vehicle makes, models, and problem categories.
Automatically flags cost outliers where AI and local estimates diverge significantly, catching pricing anomalies.
Integrates FRED economic data to adjust predictions based on current CPI and regional inflation trends.
Secure API key management with SHA-256 hashing, encrypted storage, and per-key usage tracking.
Built-in feedback system lets users rate predictions, continuously improving model accuracy over time.
From registration to your first prediction in under five minutes.
Register for a free developer account with just your name, email, and password.
Create a secret API key from the developer portal to authenticate your requests.
POST to /api/v1/predict with a VIN, problem, and zip code to get instant estimates.
Receive local averages, AI estimates, confidence scores, and match percentages in real time.
Create your free developer account and start predicting repair costs in minutes. No credit card required.