Question 1

How do I get a repair cost estimate for this 2022 Sure Trac Unknown?

Accepted Answer

Upload photos of this 2022 Sure Trac Unknown plus the VIN at AutoEstimatePro. The AI identifies every damaged component and produces a complete line-item repair estimate in about 10 minutes.

Question 2

What does the AutoEstimatePro AI report include?

Accepted Answer

Every report includes: AI damage detection across all panels and components; line-item repair costs with parts and labor hours per item; real-time parts pricing from 200+ suppliers (eBay Motors, LKQ, RockAuto, CarParts.com, OEM dealers); three max bid calculators — MFB (Max Flip Bid), MRB (Max Retail Bid), and MSB (Max Safe Bid); estimated retail and trade-in market value; full ROI and profit projection; OEM repair procedures and torque specs; YouTube repair video links matched to your exact damage; a transport cost estimator; a shoppable parts list with direct buy links; and a downloadable PDF.

Question 3

How much does an AI damage report cost?

Accepted Answer

Reports start at $14.99 each. Packs of 5 cost $64.99 and 10 cost $119.99. No subscription required — credits never expire.

Question 4

How fast will I receive the damage report?

Accepted Answer

The full report is typically ready in about 10 minutes after you upload your photos. No waiting for a shop or adjuster.

Question 5

Can I get a max bid recommendation for this Sure Trac Unknown?

Accepted Answer

Yes. Every report includes a Max Safe Bid (MSB) calculator that factors in repair cost, estimated retail value, and your desired profit margin so you never overpay at auction.

Question 6

Does AutoEstimatePro work for both Copart and IAA vehicles?

Accepted Answer

Yes. AutoEstimatePro works with any Copart, IAA, or Manheim auction vehicle. Just upload the photos and VIN — the AI handles the rest.

VIN	5JW1C2028N2356565
Lot Number	74095355
Source	Copart
Title	Salvage Certificate
Color	White
Odometer	0 mi (NOT ACTUAL)
Primary Damage	Rear End
Location	DAYTON, OH
Sale Date	03/12/2026
Estimated Retail Value	$NaN