Every retailer worth checking. Every aftermarket signal that moves price. One source of truth.
Most LEGO tools show you a price. We show you the market memory behind it — what the secondary actually paid (sealed vs. used), where retail is, where the parts floor lands, what demand is doing, and how all of it has moved over the years.
The data layer is the foundation. Every other feature — Brickfolio, deals, predictions, insurance, AI insights — pulls from the same pricing engine. Honest about what it knows. Honest about what it doesn't.
Live demo set = the full subscriber view of 75192 (Millennium Falcon UCS), no signup required.
Why depth matters
A price is a number. Depth is a decision.
Anyone can look up what a set is selling for right now. The hard part is knowing whether that number is a real low or a fake discount, whether demand is rising or falling, whether the comps are sealed or used, and whether the box is worth more broken down than intact.
Every BrickPicker feature pulls from the same pricing engine. The valuation in your Brickfolio. The headline number on an insurance certificate. The arbitrage spread on a deal alert. The retirement signal on a watchlist. Same data, different lenses.
That consistency is the point. You're not reconciling four different valuations from four different tools — they all roll up to the price guide, refreshed nightly, with full audit trail back to the eBay sold comps and BrickLink part-out floors that produced the number.
See it in action
Four views into the pricing engine
The same data, lensed for the call you're actually making.
Theme performance, ranked
Average ROI, CAGR, health and top performer for every theme — One Piece, Speed Champions, Modular, all of them.
Cross-retailer arbitrage
Best price, biggest gap, average change. The arbitrage layer reading every retailer at once.
Store-level inventory
Not just "in stock" or "out of stock" — which specific store has it, mapped across the country.
Demand intelligence
Sustained-move detection across sales rank, retail supply, and price. Multi-signal confirmation, not noise.
What's in the data layer
Six data streams, fused into one pricing engine
Each stream is independently sourced, independently validated, and independently refreshed. The fusion is what makes the output trustworthy.
Every retailer worth checking
Amazon, LEGO.com, Walmart, Target, Barnes & Noble, Kohl's, Best Buy — plus eBay and BrickLink for the aftermarket. Every retailer's price tracked multiple times a day, with shipping and availability normalized so you're comparing apples to apples — not retailer-specific MSRP gymnastics.
- Live retail prices wherever it counts
- Stock status per retailer (in-stock, OOS, clearance)
- Shipping costs included in the spread math
- Per-retailer price history, not just averages
What the market actually paid
Real eBay sold listings — not active listings. Sealed and used split cleanly because the comps say so. Sales velocity, dispersion, and time-on-market tell you whether a price point is signal or noise.
- Real completed sales, not wishful listings
- Sealed vs. used segmented (often a real gap)
- Sales velocity + price dispersion as a liquidity proxy
- Refreshed weekly from the active marketplace
Part-out floor on every set
Every tracked set's part-out value rebuilt on a regular cycle — total parts, sibling-color price estimation for un-priced parts, condition-aware aggregation. The part-out floor is your downside anchor: if the box won't move, you know exactly what the bricks are worth before you buy.
- Every tracked set, refreshed on cycle
- Sibling-color estimation fills coverage gaps
- Per-condition part-out (new vs. used)
- Minifig-out value tracked separately
Demand history you can't fake
Best-Seller Rank moves before price does. If rank is rising, the set is selling; if it's falling, your $40 margin will sit on a shelf for six months. We use the BSR history to cross-check every valuation and flag the bad buys you almost made.
- Long-running BSR history per ASIN
- Per-ASIN rank trend (1d / 7d / 30d / 90d)
- Buy Box history + offer count over time
- The slow-mover warning that saves you cash
The Monthly Price Guide
BrickPicker's signature aggregation. A rolling price guide rebuilt nightly from real sold comps, the part-out floor, and current retail. Every Brickfolio holding and every insurance certificate locks against this guide. One source of truth.
- Rolling sold-comp algorithm, refreshed nightly
- Per-condition (sealed vs. used) buckets
- The source of truth for valuations
- Locked into insurance certificates as a frozen snapshot
Cross-marketplace seller intelligence
How many third-party sellers, at what prices, with how much inventory, on which marketplace. Liquidity isn't a guess — it's a count.
- Amazon: per-seller offers + Buy Box, frequent refresh
- eBay: active listing count, seller count, total quantity
- BrickLink: total inventory by condition + unit count
What you actually do with it
Four decisions the data answers
The depth isn't a flex. It's the foundation under every meaningful call you make on this asset class.
Investors
Theme cohort analysis
Compare Star Wars UCS vs. Modular Buildings vs. Architecture vs. Technic flagships side-by-side. Median appreciation, drawdowns, top performers, year-over-year. The data is there to actually back the thesis.
Resellers + Investors
Retirement window calls
Price history + retailer disappearance + sales-rank trends combine into the retirement signal feed. Knowing months early is the difference between paying retail and paying secondary-market premium.
Investors
Liquidity-aware sizing
Sold-comp depth + dispersion + time-on-market tells you whether your gain is realizable in days or months. Skip this and you end up with great spreadsheets and no exit.
Collectors
Wishlist / buy-decision check
Pull a set's full history before you click buy. Is "$179.99" actually low or is it last month's price with a sticker? Is the seasonal sale due in two weeks? The chart tells you.
vs. the alternatives
Why one fused dataset beats four siloed ones
Each tool below is solid for the slice it covers. None of them fuses retail + sold-comp + part-out + Amazon-side intelligence + market memory into the same pricing engine.
BrickEconomy
What it covers
Per-set retail prices, aftermarket averages, basic charts
What you still need
Limited historical depth in free tiers. No per-condition split detail. No part-out floor. No real-time multi-retailer pricing. No demand or seller-offer intelligence.
Brickset
What it covers
Catalog data, set details, market guide pulls
What you still need
Built as a catalog, not a market-data tool. No active retailer pricing. No sold-comp depth. No part-out. No insurance-grade valuations.
BrickLink Price Guide
What it covers
BrickLink-specific part and set pricing
What you still need
BrickLink-only. No retail context. No eBay or retailer data. The part-out is great; the rest of the picture is missing.
Amazon price-history trackers
What it covers
Amazon-specific price history
What you still need
Amazon only. No LEGO context. Doesn't know what a UCS is, doesn't price a Modular, doesn't aggregate part-out.
BrickPicker Market Data
What it covers
All of the above, fused into a single pricing engine
Gap it closes
Cross-retailer + cross-marketplace + cross-condition + market memory, refreshed nightly, exposed via the same UI you use to find deals and value collections.
Where does the data actually come from?
How often is it refreshed?
Do you have data on retired sets I can no longer buy at retail?
Is the historical data complete or are there gaps?
What's the difference between this and Brickfolio?
Can I export historical data for my own analysis?
Pull a set page. See the depth.
Free shows you a recent window of price history per set, full retailer pricing, and basic eBay context. Collector unlocks the year. Reseller is the entire archive.