Object Explorer Overview
Last updated
Last updated
Object Explorer is a real-time tool that visualizes XRPL ledger activity and OBJECT token transactions through dynamic 3D objects.
By mapping transaction failures (tec codes like tecAMM_UNFUNDED) onto object distortions, it gives you a visual way to assess ledger health and token interactions.
Enhanced Visualization: Traditional data lists can be hard to parse at a glance. Object Explorer transforms ledger metrics into dynamic and somewhat "bruised" 3D shapes, making patterns and anomalies immediately apparent.
Dual Functionality: Not only does it reflect ledger failure rates, but it also doubles as an OBJECT token visualizer.
Intuitive Metrics: Each ledger’s 3D object is modified based on the proportion of tec codes. A subtle noise distortion indicates a low failure rate, while a more pronounced “bruise” shows higher failure levels. A small icon with a percentage is displayed on the ledger card, giving you immediate insight into the error rate.
Data Collection: The Explorer listens to XRPL ledger streams and gathers transaction data as ledgers close.
Failure Rate Calculation: It calculates the failure rate by counting transactions with tec codes (for example, see tecINSUF_RESERVE_OFFER) relative to total transactions.
Dynamic Object Modification: The calculated failure rate determines how much vertex noise is applied to a randomly chosen geometry. This distortion visually represents the ledger’s performance.
OBJECT TX Toggle: A built-in toggle lets you filter the view to see OBJECT token transactions in a clean black & white theme, aligned with the official OBJECT icon.
Interactive Lore (BONUS): Click or tap on any object to reveal a brief piece of lore—a poetic, auto-closing popup that adds personality and context to the data. This lore invites you to reflect on the ledger’s story and the underlying dynamics of the XRPL.
XRPL Explorer (LiveNet) – Explore detailed ledger data on XRPL.
If you notice a ledger with a tec (failure) percentage above 20%, we’d love to hear about it. Share your findings and tag us on X at @ObjectXRPL. Engagement helps reach new people, deepening the collective understanding of XRPL dynamics as well.
