Market valuation

Price with context, not vibes.

Estimate value and show a market average/range based on comparable vehicles (as available).

Best for

Common places this service fits well.

  • Lead qualification
  • Dealer tooling
  • Marketplace insights

Inputs

What you provide.

  • Structured vehicle data
  • Optional: mileage, condition, location

Outputs

What you get back.

  • Estimated price
  • Market average + range
  • Comparable breakdown (when available)

Notes

Implementation details and product intent.

  • Transparent output: you get the range and what moved it.

Try valuation

Send basic vehicle fields and see a price estimate.

Limited demo. For higher volume and auth, sign up and use your API key.

Output
JSON viewer and cURL you can copy.
// Run the demo to see a live
// JSON response here.
// For full docs, sign up and
// open the API reference.

Part of a pipeline?

Valuation is the last step — it requires normalized vehicle data as input.

  1. Photo input
  2. 1OCR
  3. 2Normalize
  4. 3Valuation
Explore

Related services

Most teams start with one capability, then add the ones that remove friction next.

OCR

Read what’s on the car, not what the camera wished it saw.

Extract text from photos (dash, documents, stickers, part numbers, plates/VIN) with layout-aware results.

Damage recognition

Turn “looks fine” into measurable findings.

Detect and highlight visible damage areas, returning locations and severity signals you can review.

Car Side Recognition

Know which side you’re looking at, and where the car actually is.

Classify the vehicle side/orientation and return stable geometry for downstream tasks (cropping, alignment, QA).