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How OFFO works

We combine listing signals, EV-specific risk checks, market context, and routine-fit analysis to help you decide whether a car is worth pursuing.

Analyze a Car →View example result →

What OFFO evaluates

Three surfaces, each with its own analysis logic.

Analyze a Car

  • Listing quality
  • Battery & service risk
  • Price context
  • Seller questions

Auction Bidder

  • Salvage risk
  • Repair vs parts-only economics
  • Safe bid range
  • Title & uncertainty

EV Routine Check

  • Charging fit
  • Winter & longest-day buffer
  • Ownership friction
  • Comparison support

The decision framework

OFFO looks at three things — not just specs.

Vehicle condition and risk — Is there evidence this car will cause problems?

Deal economics — Is the price fair given what the listing tells us?

Ownership fit — Does this car match the buyer's real routine?

A car can be mechanically sound but still a bad deal.

A fair deal can still be the wrong fit for someone's routine.

Auction vehicles may have parts value even when repair is not recommended.

Data sources

What goes into each analysis.

Vehicle & safety

  • VIN decode
  • Trim normalization
  • Recalls & safety campaigns
  • Battery-pack attributes

Market & pricing

  • Listing price comparisons
  • Auction context
  • Title & salvage context

EV-specific ownership

  • Battery chemistry & degradation assumptions
  • Range adjustments
  • Charging density
  • Climate effects
  • Model-specific issue patterns

User-provided

  • Listing or lot URL
  • Routine answers
  • Budget & preferences

Some data is exact. Some is inferred from known patterns. Confidence reflects that.

How each product computes results

What happens after you paste a URL or answer a question.

We extract key details from the listing, compare price against similar vehicles in context, and check for EV-specific warning signs — missing battery proof, weak service history, unclear charging details, and ownership-risk patterns. We generate a verdict and seller questions based on what is missing or risky.

We use signals, checks, and weighted inputs — not exact condition data.

Confidence and uncertainty

Confidence matters as much as the score.

HighEnough detail to distinguish clearly between outcomes.
MediumThe direction is useful, but one or two missing factors could move the result.
LowTreat as a starting point, not a decision.

What can improve confidence

Verified battery health · Service records · Title history · Exact trim · Charging setup details · Climate & parking details · Inspection results

What OFFO does not do

  • Not a substitute for a professional inspection.
  • Does not guarantee battery health from a listing alone.
  • Does not know whether a seller completed a recall unless verified.
  • May use estimates when exact local market or charger data is unavailable.
  • Designed to reduce uncertainty, not eliminate it.

Methodology changelog

Methodology v1.0 · Last updated: March 2026