Better answers start with better data.
Catalog, comps, and athlete data matched to the right card — observed sales kept separate from Pulltrader's read.
Card data is hostile by default.
Listing titles are free text, parallels are near-identical, condition is subjective, and grading changes the asset. Matching a sale to the right card is genuinely hard, and most tools do not try very hard.
The result looks authoritative and is wrong in the direction that costs money.
- Comps that are actually a different parallel
- Prices anchored to a market that has moved
- Search that cannot separate two cards with the same player and year
- Analysis presented with more confidence than the data supports
What the layer holds
Live today, and expanding as ingestion widens.
Standardized product catalog
Card and product taxonomy with product mapping, so items across the platform resolve to the same structured identity.
Card data ingestion
Ingestion services and adapters feeding the catalog rather than relying on hand entry.
Comp and sold-listing data
Comp search and eBay sold-listing lookup, matched against the catalog so the comparison is like-for-like.
Athlete and team data
Player, team, and live stats integrations behind athlete profiles and PullScore.
Release calendar
Public release APIs and calendar sync, so upcoming product is data rather than something you remember.
Pricing intelligence
Dashboards and aggregate market insights built on top of the catalog and comp data.
Where it shows up
You never open this layer. You feel it in whether the answers are right.
In identification
Resolving a card to a catalog product is what makes every downstream comp meaningful.
In pricing
Per-channel prices and net readouts are computed against catalog-matched market data.
In search and browsing
Standardized products let buyers filter on the attributes that actually distinguish two cards.
In Pulltrader's work
The agents reason over this layer, and report observed data and interpretation as two different things.
Questions people ask
Is this a separate subscription?
No. It is the data layer behind Pulltrader. Your plan limits how much Pulltrader work you can run against it, not whether the data exists.
Where does the data come from?
Ingestion services and adapters for the catalog and release calendar, comp search and eBay sold-listing lookup for market data, and player and team integrations for athlete context.
What happens on a card with almost no sales history?
You get told. Thin comps stay thin — we do not smooth a near-empty history into a confident number.
Is my own business data part of this?
Your inventory, costs, and sales stay yours and power your answers. Aggregate market data is shared; your business specifics are not.
The difference shows up in the answers, not the feature list.
Ask something specific about a parallel and see whether the comps hold up.