01
Observe public listings
Monitor current Axie sell listings through authorized marketplace APIs and normalize price, class, breed count, level, parts, traits, and order timing.
PRIVATE BETA · READ-ONLY ANALYTICS
Clearer signals for the Axie Marketplace.
gameBlock4 observes public listings, builds local valuation references, and explains why an Axie does—or does not—meet a market research threshold.
No wallet connection
No private keys
Public market data
VALUATION SIGNAL
LIVE OBSERVER
INPUTOfficial listings
MODELComparable groups
OUTPUTExplainable signal
Class + levelStructured comparison
Parts + traitsCombination-aware groups
Floor depthLiquidity-aware references
Decision trailReadable rejection reasons
WHAT IT DOES
Market context, built before a listing arrives.
The research engine maintains a local view of comparable Axies so a newly observed listing can be evaluated consistently and quickly.
02
Build comparable groups
Maintain floor references by class, level, special tags, material recovery value, and eligible three- or four-part combinations.
03
Guard for liquidity
Use floor depth, observed sample count, unique sellers, and low-price outlier checks instead of relying on a single cheapest listing.
04
Explain every result
Record the matched rule, reference price, maximum research threshold, rejection reason, and the amount needed to reach that threshold.
RESPONSIBLE BY DESIGN
A research surface—not a wallet.
The current private beta is intentionally read-only. It does not request wallet access, hold user funds, or collect credentials.
- 01Collect
Read public marketplace and public blockchain data from authorized sources.
- 02Normalize
Store financial values as integer wei and map attributes into stable comparison keys.
- 03Evaluate
Apply explainable, liquidity-aware valuation rules in dry-run mode.
- 04Audit
Persist decision evidence locally for later accuracy and market-behavior review.
PROJECT STATUS
Built for careful market research.
gameBlock4 is under active development. Product questions, responsible-use inquiries, and data-source questions are welcome.