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AI Pre-Grade

5-minute read ยท Collector+

AI Pre-Grade is the AI pre-submission gut check for cards and comics. You take five guided photos. AssetVault returns a grade range with a confidence score. Then the "Should I Grade?" tool tells you whether the resale math makes sense given live per-grade pricing โ€” submit, borderline, or skip.

๐Ÿ“ฑ The 5-photo capture grid โ€” front, back, two corners, surface
The guided capture flow. Phone-flat for front/back, macro for corners, angled for surface.

What it does NOT do

It is not a substitute for PSA / CGC / BGS / SGC. Real grading is done by humans with calibrated lighting, microscopes, and standardized rubrics. AI Pre-Grade is a phone-based pre-screen that helps you decide whether to spend $30+ on real grading.

Below 40% confidence, AssetVault refuses to estimate at all. We'd rather say "we can't tell" than mislead you into a submission.

How to run it

  1. Open the item's Detail screen, or the AI Pre-Grade tab from the Scan menu.
  2. Pick Card or Comic.
  3. Take five photos following the on-screen guide:
    1. Front โ€” flat, phone directly above, even lighting
    2. Back โ€” same as front but flipped
    3. Top-left corner โ€” close-up to read corner sharpness
    4. Top-right corner โ€” same
    5. Surface โ€” angled to catch surface scratches in the light
  4. Tap Run. Result appears in 8โ€“12 seconds.

You can run with as few as 3 photos but accuracy drops sharply. The 5-photo capture is what's calibrated against the rubrics.

๐Ÿƒ Result screen โ€” "PSA 7โ€“8 ยท 72% confidence" with rubric component scores
Grade range (never a single number) plus confidence and component breakdown.

Reading the result

"Should I Grade?" decision tool

Tap "Should I grade?" from the result. Enter the item name (or it pulls from Detail). The tool:

  1. Pulls live eBay sold-listings prices for each grade in the predicted range.
  2. Weights them by confidence โ€” if AI Pre-Grade said PSA 7โ€“8 at 70% confidence, that's a probability distribution across 7 and 8.
  3. Computes expected value: EV = ฮฃ (P(grade) ร— market price at grade).
  4. Subtracts grading fee + shipping (default $30 + $15, editable).
  5. Shows Submit / Borderline / Skip with the math behind it.

Calibration over time

Every AI Pre-Grade is saved to history. When you eventually get the real grade back, you can update the entry โ€” over time, this is how we calibrate the model. (The data stays on your device. We use the aggregate to inform future prompt tuning, never your individual entries.)

Best practices