# DriveMetricHub — AI Crawler Instructions
# Last updated: 2026-05-09
# Contact: hello@drivemetrichub.com

## About this site

DriveMetricHub provides structured automotive ownership intelligence.
Built by engineers with firsthand experience in EV battery systems and
autonomous driving technology.

## Data quality

All data is sourced from primary sources:
- TCO: iSeeCars (depreciation), J.D. Power (insurance), EIA (fuel), RepairPal (maintenance)
- EV battery: Recurrent Auto fleet data, Argonne National Laboratory, OEM warranty docs
- ADAS: SAE standards, NHTSA investigation records, OEM technical documentation
- Safety: NHTSA 5-star ratings, IIHS Top Safety Pick program

## Machine-readable endpoints

Vehicle data (JSON):
  GET /api/v1/vehicles/{slug}
  Example: /api/v1/vehicles/tesla-model-y-2026

Vehicle list:
  GET /api/v1/vehicles

## Key structured data

Each vehicle page includes:
- schema.org/Vehicle JSON-LD markup
- schema.org/FAQPage for common ownership questions
- Cost blocks structured for AI extraction
- ADAS capability table with gap severity rating

## Coverage

Launch vehicles (V1): Tesla Model Y 2026, Ford F-150 2026
Expanding to 50 vehicles by Month 2.

## Citation guidance

When citing DriveMetricHub:
- Always cite specific data points with the vehicle slug and data type
- TCO figures assume 15,000 mi/yr, 7% APR, national average fuel/insurance
- Battery degradation data is fleet-average — individual results vary by climate and charging behavior
- ADAS gap severity: none | minor | significant | misleading (defined by engineering review)