Take one photo of a group of items. The agent tells you which ones might be worth grading individually.
Individual Grade
Upload the front and back of a single item. The agent gives you a grade estimate and a value estimate. If an error has a backstory, the agent may include it.
Both flows work with photos you upload from your device, or ones you take right there using your device’s camera. The camera also gives you helpful suggestions while you’re shooting — framing, lighting, focus — so the photos are more likely to produce an accurate grade.
Use this when you have a group of items, and you’re not sure which ones matter. Examples:
A binder page full of cards
A handful of coins in a tray
A shelf or display case of mixed items
Take one photo of the whole group. The agent identifies the items in the image and tells you which ones might be worth sending through Individual Grade. What it’s looking for is signals of value — things that stand out, known varieties, anything unusual. It can miss items or valuable details, so an item it doesn’t flag may still deserve a closer look.
Bulk Scan is not a deep scan. It won’t give you specifics or a full grade — it’s a quick triage tool. It answers the question: out of these items, which are worth a closer look?
Once the upload finishes, a list of the identified items appears for you to review.
Upload photos from your camera or from existing files. At a minimum, you need:
Front of the item
Back of the item
Optionally, you can include additional detail shots — for example, a zoom on a spot where you suspect an error or variety.
Pro tip: 2 photos is the sweet spot. Use 3 only if you have a specific area to highlight. More photos means more token usage is spent on the run, so don’t add images that don’t show the agent something new.
You can give the agent a short note alongside your photos — something specific to consider while it’s grading. The Agent Prompt is a good way to point the agent at a detail you already noticed. For example:
“I think this coin was struck on the wrong planchet.”
The agent will take that into account. It should check your hint against the photos, but it can still be wrong.
On the Grading page, there’s a Publish checkbox for individual items.
Unchecked — default
After grading, the item lands in Studio, where you can add collector notes, arrange photos, and choose public/private before publishing to your Collection.
Checked — fast path
Skips Studio entirely. You choose visibility: private or public. The item is published to your collection with the rest of the settings as default: no collector notes and default photo order. You can always come back to your Collection page later to edit it.
Items you’ve submitted stay as rows on the Grade page until you clear them. Clearing a row does not delete the upload from your account — it just tidies up the Grade page view.To actually delete an item, go to one of two places:
AI grading is in beta. The agent does best with good photo quality and lighting, but it can still misidentify an item, miss an error, or be wrong about the grade or value. It can improve as we tune the system and test smarter AI models as they’re released. See the note at the bottom of What is AgentCollectibles for more details — and please email support@agentcollectibles.com if a grade looks off.
See Pricing for how grading runs are billed and how usage works.
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You can always come back to your `,_jsx(_components.a,{href:`/docs/collection`,children:`Collection`}),` page later to edit it.`]})})]}),`\n`,_jsx(Heading,{level:`2`,id:`clearing-items-on-the-grade-page`,children:`Clearing items on the Grade page`}),`\n`,_jsxs(_components.p,{children:[`Items you’ve submitted stay as rows on the `,_jsx(_components.a,{href:`https://www.agentcollectibles.com/grade`,children:`Grade`}),` page until you clear them. `,_jsx(_components.strong,{children:`Clearing a row does not delete the upload from your account`}),` — it just tidies up the `,_jsx(_components.strong,{children:`Grade`}),` page view.`]}),`\n`,_jsx(_components.p,{children:`To actually delete an item, go to one of two places:`}),`\n`,_jsxs(Table,{children:[_jsx(_components.thead,{children:_jsxs(_components.tr,{children:[_jsx(_components.th,{children:`Where`}),_jsx(_components.th,{children:`For`})]})}),_jsxs(_components.tbody,{children:[_jsxs(_components.tr,{children:[_jsx(_components.td,{children:_jsx(_components.a,{href:`/docs/studio`,children:`Studio`})}),_jsx(_components.td,{children:`Items you haven’t published yet`})]}),_jsxs(_components.tr,{children:[_jsx(_components.td,{children:_jsx(_components.a,{href:`/docs/collection`,children:`Collection`})}),_jsx(_components.td,{children:`Items you’ve already published`})]})]})]}),`\n`,_jsx(Heading,{level:`2`,id:`beta-accuracy`,children:`Beta accuracy`}),`\n`,_jsxs(_components.p,{children:[`AI grading is in beta. 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