Building the Backbone of Sui: The Definitive Story of the iBriz.ai Kiosk Indexer (Benchmarks, Engineering, and Ecosystem Impact)

Post Category: Case Study, Technical Deep Dive, Ecosystem Infrastructure
Author: Anubhabi Sharma,  Research Specialist, iBriz.ai

What infrastructure gap on Sui did iBriz.ai solve?

The infrastructure gap solved by iBriz.ai was the inability of high-performance dApps to efficiently and quickly access the vast amount of asset data locked within millions of individual, complex Move-based Sui Kiosks.

The Kiosk feature is revolutionary, but accessing its data via standard, slow on-chain queries created a bottleneck that was holding back the most ambitious projects in the entire ecosystem. iBriz.ai strategically built the Kiosk Indexer to eliminate this performance hurdle, solidifying our commitment to Sui.

What is the Kiosk Indexer? Who should use it, and how fast is it?

The Kiosk Indexer is a high-performance, proprietary data engine designed by iBriz.ai to parse, transform, and index raw Sui blockchain data specifically related to Kiosk-held assets.

  • What is it? A robust API that turns cryptic, on-chain Move data into structured, instantly queryable asset information.
  • Who should use it? Any Sui developer, dApp founder, or project architect building NFT marketplaces, Web3 games, portfolio trackers, or any application requiring fast, reliable access to Kiosk-owned asset data.
  • How fast is it? It cuts typical Kiosk query latency from hundreds of milliseconds to under 50ms while sustaining over 2000 queries per second (QPS) across more than 20 million Kiosks.

How did iBriz.ai solve Sui’s Kiosk indexing challenges?

We couldn’t rely on generic indexers. The solution required a deep understanding of Move and a custom-built data pipeline to handle its complexity and scale.

1. Overcoming the Move Data Hurdles (The Builder’s Challenge)

The biggest hurdle was the unique structure of Sui’s Kiosk assets, which are governed by complex, often nested, Move contracts. Decoding the recursive logic of these unique objects at scale is far more challenging than indexing simple transactions. This challenge required a proprietary approach, not an off-the-shelf solution.

2. The Custom Engineering Solution

To guarantee the required speed and reliability, iBriz.ai engineered the following:

  • The Custom Decryption Engine: A proprietary, event-driven pipeline built specifically to rapidly parse and decode intricate Move contract logic, transforming raw data into a structured format optimized for retrieval. [Visual Aid: Insert Custom Decryption Engine Flowchart Diagram Here]
  • Proprietary Schema Optimization: We designed a unique database model explicitly architected for high-speed retrieval of complex, filtered Kiosk data, enabling sub-50ms performance.

 

The Performance Proof: Benchmarking the iBriz.ai Engine

The Kiosk Indexer is defined by its speed. We reject slow, variable-latency on-chain queries to deliver the consistent performance that mission-critical dApps demand.

The Kiosk Indexer cuts typical Kiosk query latency from hundreds of milliseconds to under 50ms while sustaining over 2000 queries per second across more than 20 million Kiosks.

At a Glance:

  • Latency: Queries are answered in under 50ms.
  • Throughput: The system sustains over 2000 queries per second (QPS).
  • Scale: The Indexer has processed and indexed over 20 million Kiosks.

Ecosystem Value: Unlocking Next-Gen dApps

By eliminating the data bottleneck, the Kiosk Indexer enables projects that were previously technically infeasible, allowing builders to focus on innovation and user experience.

  • For NFT Marketplaces: Instantaneous Browsing
    Enables sub-second load times and complex asset filtering across millions of Kiosks, delivering a Web2-like user experience.
  • For Web3 Games: Real-Time Dynamic Inventories
    Allows game logic to instantly verify and display complex in-game assets, removing the lag associated with slow on-chain checks.
  • For Wallets & DeFi: Aggregated Portfolio Tracking
    Provides the speed necessary for wallets to instantly aggregate and accurately value a user’s total holdings across all their Kiosks.

Start Building with the Backbone of Sui

The Kiosk Indexer is the result of iBriz.ai’s commitment to solving the ecosystem’s hardest problems. The fastest, most reliable Sui data engine is ready for your project.

Access the Industry’s Fastest Sui Kiosk Data and Accelerate Your Development:

Review Documentation: Deep dive into the API endpoints and data structures.
Dashboard Documentation

Request Access: Get your API key to integrate Kiosk data today.
API Documentation

Partner with Us: Discuss custom solutions or infrastructure needs with the team that built the Indexer.

About the Author

Anubhabi Sharma is a Research Specialist at iBriz.ai. She has an extensive background focused on the complex data requirements of blockchain infrastructure, including detailed data modeling and analysis. Her expertise was instrumental in analyzing Sui’s data structure and contributing to the high-performance architectural design of the Kiosk Indexer. Her focus is on transforming theoretical technical challenges into scalable, real-world solutions for the Web3 space. iBriz.ai

Final Takeaway: The Backbone of Sui is Ready

This post confirms the full story: iBriz.ai identified the single biggest infrastructure bottleneck facing high-performance dApps on Sui, the slow, complex access to Kiosk data.

As foundational builders, we chose to invest and custom-engineer the solution. We overcame the unique technical hurdles of decoding complex Move-based contracts to deliver the Kiosk Indexer.

The results are conclusive: Our proprietary solution delivers query speeds in the sub-50ms range, proving that the Indexer is not just a feature, but the high-performance backbone for the entire ecosystem.

The Indexer is built. The performance is proven. Your next-gen dApp starts now with iBriz.ai

Anubhabi Sharma

Research Specialist at iBriz.ai

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