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AI eBay item specifics

AI eBay item specifics

The slowest fields on the form are the ones already printed on the item.

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The problem

Item specifics are mandatory, category-dependent, and miserable to fill by hand.

eBay requires item specifics, and the required set changes for every leaf category. List a graded card and you need player, year, manufacturer, set, card number, grade, and grader. List a phone and you need brand, model, storage capacity, network, and colour. Get one required aspect wrong or missing and the listing is rejected or buried.

Filling them manually means reading the item, remembering which aspects that category expects, and typing values that are almost always printed on the object in front of you. It's the single most repetitive part of listing, and it's the part where errors quietly cost you visibility because eBay uses these fields for filtered search.

HumCity handles the sequence in the correct order: identify the item from the photo, map it to a leaf category, then fetch that category's required and recommended aspects directly from eBay and fill them from what the image showed. Anything required that couldn't be determined is left blank and flagged, so you fix five fields instead of typing twenty.

The order matters more than it looks. Getting the category wrong first means the aspect list is wrong too, so a listing built on the wrong category has to be redone rather than corrected. Fetching aspects only after the category is confirmed avoids that rework, and it's also why category validation happens before the specifics step rather than after it.

What you get

Capabilities built for this exact workflow.

  • Aspects fetched from eBay, not from a static list

    Category aspect requirements change over time. HumCity queries eBay's Taxonomy API for the selected leaf category at listing time, so the fields you're asked to complete are the fields eBay currently requires — not a snapshot from a year ago.

  • Values read from the image

    Once the aspect list is known, HumCity fills what it can from the item identification: brand, model, year, set, size, colour, material, and category-specific attributes that appear in the photo. The mapping normalizes values into the format eBay expects rather than free text.

  • Blanks instead of invented values

    If a required aspect cannot be determined from the photo, it is left empty and surfaced as a warning. Inventing a plausible value would create listings that are wrong in a way that's hard to notice, so the system refuses to.

  • Pre-publish validation

    Before publishing, the draft is checked for missing required aspects, invalid condition for the category, and aspect values that exceed eBay's length or count limits. You see fixable warnings in the editor instead of an API rejection.

  • Consistent across a batch

    A batch of similar items gets aspects filled the same way for each, so you're reviewing a consistent grid rather than reconciling different people's shorthand.

  • Editable everywhere

    Every aspect is editable in the item-specifics editor, and edits on a published listing are pushed as a revision to the existing eBay listing.

  • Recommended aspects, not just required ones

    eBay's Taxonomy API returns both required and recommended aspects per category. HumCity surfaces the recommended ones too, since filling them — even though they won't block publishing — generally improves how a listing performs in filtered search.

  • Handles multi-value and structured aspect types

    Some aspects accept a single value, others allow multiple selections, and some are constrained to a fixed list of eBay-defined options. HumCity respects each aspect's type so the value it fills is actually valid for that field, not just plausible-looking text.

  • Refreshed per listing, not cached indefinitely

    Because aspect requirements are fetched at listing time rather than hardcoded, a change eBay makes to a category's required fields shows up in your next draft automatically, without waiting on a HumCity update.

Use cases

Built for the way real resellers work.

Graded and raw trading cards

Card categories carry long aspect lists — player, year, manufacturer, set, card number, parallel, grade, grader, certification number — and nearly all of it is printed on the card or the slab label.

Consumer electronics

Model number, storage, network, and colour drive filtered search. Missing them means your listing never appears in the filtered results buyers actually use.

Apparel and footwear

Brand, size, size type, colour, material, and style are all required in most clothing categories and all typically visible on the label.

Mixed inventory

When every item is from a different category, remembering aspect requirements is impossible. Fetching them per item removes that burden entirely.

Toys, collectibles, and sealed products

Aspects like character, franchise, scale, and packaging type are often printed directly on the box. These are quick for a vision model to read and tedious to transcribe by hand across a large collection.

Sellers who've had listings suppressed for missing specifics

eBay can limit visibility on listings with incomplete required specifics. Pre-publish validation catches these gaps before the listing goes live, instead of after search performance has already suffered.

High-volume sellers standardizing an old catalog

Listings created years ago often predate current aspect requirements. Reprocessing them through the specifics workflow brings them in line with what eBay currently expects, which can improve their search placement.

How it works

From inventory to live listings in three steps.

01

1. Identify

The item is identified from the photo.

02

2. Map the category

A leaf category is chosen and validated against eBay's live category tree.

03

3. Fetch aspects

Required and recommended aspects for that exact category are pulled from eBay.

04

4. Fill and flag

Known values are filled; unknown required values are flagged for you to complete.

FAQ

Common questions

Can AI generate eBay item specifics?
Yes. HumCity fetches the required and recommended aspects for your item's eBay category and fills them from the attributes it read in your photo. Required aspects it can't determine are left blank and flagged rather than guessed.
Where do the required aspects come from?
Directly from eBay's Taxonomy API for the specific leaf category the listing uses, at listing time.
What happens if a required specific is missing?
The listing editor shows it as a blocking warning before you publish, so you fix it in the editor rather than getting a rejection from eBay.
Can I override a value the AI filled?
Yes. Every aspect is editable, and your value always wins over the generated one.
Does this work for every category?
Yes — the aspect list is fetched per category, so the workflow is the same whether you're listing a card, a camera, or a coat.
Do item specifics affect search?
Yes. eBay uses them for filtered search and structured data, so complete and accurate specifics materially affect how often your listing is seen.
What's the difference between required and recommended aspects?
Required aspects must be filled to publish; recommended aspects are optional but still used by eBay's filtered search, so filling them tends to help visibility even though they won't block your listing.
Can item specifics be edited after the listing is live?
Yes. Editing an aspect on a published listing pushes a revision to the existing eBay listing rather than creating a new one.
Does HumCity ever fill an aspect with a wrong but plausible value?
The design goal is the opposite: if the photo doesn't clearly support a value, the field is left blank and flagged rather than filled with a guess. You should still review filled values, since no vision system is perfect.
How many item specifics does a typical eBay category require?
It varies widely — some categories require only two or three aspects, while collectibles and electronics categories can require ten or more. HumCity fetches whatever the specific category calls for, so you don't need to know the number in advance.
Do item specifics need to match the title exactly?
They don't need to be word-for-word identical, but they should be consistent — since both are generated from the same identified attributes in HumCity, they naturally line up.
What happens when eBay adds a new required aspect to a category?
Because HumCity fetches aspects at listing time rather than from a static list, a newly required field shows up in your next draft automatically. For already-published listings, eBay may warn you in Seller Hub; you can revise the listing through HumCity to add the missing field.
Can I bulk-fill item specifics across similar listings?
When you process a batch of similar items through the photo pipeline, each gets its aspects filled from its own image — so a batch of 30 cards from the same set each gets their own player, card number, and year filled individually rather than copied from a template. This is faster than manual entry and avoids the copy-paste errors that come from templating aspects across items that aren't truly identical.
Do item specifics affect eBay's Cassini search algorithm?
Yes. eBay's search uses structured data heavily — item specifics feed the filters on the left side of search results, and listings with complete, accurate specifics appear in more filtered queries. A listing missing the brand aspect, for example, disappears the moment a buyer filters by brand, regardless of how good the title is.
Does HumCity publish directly to eBay?
Yes. You connect your eBay account through official eBay OAuth, and HumCity publishes through the eBay Inventory API using your own business policies for payment, shipping, and returns. Listings appear in eBay Seller Hub exactly as if you had created them there.
Is HumCity free?
Yes — every account includes 50 listings or revisions per month at no cost and without a credit card. Paid plans start at $10/month for 500 listings, $25/month for 5,000, and $50/month for 10,000.
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