Proof of Usefulness Report
RiskOracle
Analysis completed on 7/23/2026
+65
Proof of Usefulness Score
You're In Business
RiskOracle is a technically innovative early-stage project leveraging Flare's FTSOv2 and FDC along with a multi-model AI consensus to provide event-driven risk scores. It presents a strong technical foundation and verifiable on-chain proofs but currently lacks user adoption, commercial metrics, or market traction, keeping its overall PoU score squarely in the minimal traction tier.
View All Reports
Score Breakdown
Real World Utility0.25)
Audience Reach Impact0.20)
Technical Innovation0.15)
Evidence Of Traction0.25)
Market Timing Relevance0.10)
Functional Completeness0.05)
Subtotal+59.25
Usefulness Multiplierx1.1
Final Score+65
Project Details
Project URL
Description
RiskOracle is a live, Flare-native risk intelligence layer that combines FTSOv2 market data with four independent AI models to detect event-driven risk before it is fully reflected in price. It provides DeFi lending and insurance protocols with a transparent 0–100 risk score, model consensus, reasoning, timestamps, and verifiable on-chain proof through FDC, helping protect XRP/FXRP collateral and support safer automated decisions.
Audience Reach
RiskOracle is currently in early public beta and does not yet have a statistically meaningful monthly audience. The live product has been shared with hackathon evaluators and a small group of early testers, and we are now collecting initial usage data and structured feedback. The application, source code, deployed contracts, and on-chain transactions are all publicly verifiable.
Target Users
RiskOracle is built for DeFi lending and insurance protocol teams, risk managers, smart contract developers, and XRP/FXRP ecosystem builders who need earlier warning signals than price-only oracles can provide. It is especially useful for protocols making collateral, lending, liquidation, or coverage decisions. The project has no commercial customers yet and is currently being evaluated through public testing and hackathon participation.
Technologies
Other, Flare FTSOv2, Flare Data Connector (FDC Web2Json), Coston2, Solidity, Hardhat, Node.js, Express, Ethers.js, Tailwind CSS, GPT-5.5, Claude Opus 4.8, DeepSeek, Qwen3-235B, and Render.
Traction Evidence
RiskOracle is currently in early public beta, so we do not yet claim meaningful user or revenue traction. Current traction is technical and publicly verifiable:
Live product: https://flare-risk-oracle.onrender.com/
Open-source repository: https://github.com/ZOELIU2333/flare-risk-oracle
Online product demonstration: https://flare-risk-oracle.onrender.com/demo-video.html
Coston2 oracle events: https://coston2-explorer.flare.network/address/0x29D2567bbD5979426fadAdB8991C10dE267f4304
Successful FDC proof transaction: https://coston2-explorer.flare.network/tx/0xe1aa6bf6d89a14422ce60af8646f8943676bcbc6de5c650a62ff3ea3268e69a7
The next validation stage is recruiting early Flare ecosystem testers and measuring analysis runs, API calls, repeat usage, protocol integrations, and structured developer feedback.
Algorithm Insights
Market Position
Growing utility with room for optimization
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies
Recommendations to Increase Usefulness Score
Document User Growth
Provide specific metrics on user acquisition and retention rates
Showcase Revenue Model
Detail sustainable monetization strategy and current revenue streams
Expand Evidence Base
Include testimonials, case studies, and third-party validation
Technical Roadmap
Share development milestones and feature completion timeline