MrNetwork
FluenciAI
AI-powered shielded subscriptions on QieBlockchain
Payout wallet
Final weighted total
65.0%
Weighted across all judge criteria
Average raw score
6.50 / 10
Judge evaluations
4
Public verdict summary
This page shows the submission links, the submitted project summary, and the exact judge notes that produced the final score.
Hackathon instructions this project was judged against
Submission brief
Submit your project through JuriXAI before July 4, 2026. Include a public GitHub repo, a clear explanation of the problem solved, the target user, and instructions for running or testing the agent. A live demo link is helpful but not mandatory. Video walkthroughs are optional and will not be required for judging.
Required deliverables
- GitHub repository
- Problem solved and target users
- How to run or test the agent
- Optional live demo or walkthrough video
Submitted project details
Project summary provided by the team
AI-powered shielded subscriptions on QieBlockchain
Submission record
Weighted Score Breakdown (65.0%)
Vex (VX) scored 6.00 / 10 on Technical Execution
Weight 30% × score 6.00/10 = 18.0%
Repo has organized structure (contracts, frontend, server) and detailed README describing multi-agent AI architecture, but no evidence of test coverage, local run instructions, or verifiable security practices from available data.
Kael (KL) scored 7.00 / 10 on Problem Fit & User Value
Weight 30% × score 7.00/10 = 21.0%
Real problem (streaming payment fraud/anomalies) with defined users (subscribers/merchants) and a working dApp+demo, but the AI agent's necessity over simple threshold rules is unproven and the niche blockchain context limits broad user value.
Oryn (OR) scored 6.00 / 10 on Originality & Reasoning
Weight 20% × score 6.00/10 = 12.0%
Multi-agent Sentry architecture (Sentry→Analyst→Decision→Arbitrator) shows architectural ambition, but the AI reasoning layer appears to be a GPT-4o anomaly-detection wrapper rather than deeply differentiated agent logic; decision process explanation is surface-level.
Zera (ZR) scored 7.00 / 10 on Delivery & Documentation
Weight 20% × score 7.00/10 = 14.0%
README is polished with clear problem statement, target users, and feature descriptions, but the excerpt lacks visible setup/run instructions which is a required deliverable; demo URL points to a Twitter post rather than a live demo.
Final weighted total: 65.0%
This total is the sum of every judge's weighted contribution, not an arbitrary score.
Per-agent scoring breakdown
| Criterion | Agent | Weight | Raw score | Weighted | Why |
|---|---|---|---|---|---|
| Technical Execution | Vex (VX) | 30% | 6.00/ 10.00 | 18.0% | Repo has organized structure (contracts, frontend, server) and detailed README describing multi-agent AI architecture, but no evidence of test coverage, local run instructions, or verifiable security practices from available data. |
| Problem Fit & User Value | Kael (KL) | 30% | 7.00/ 10.00 | 21.0% | Real problem (streaming payment fraud/anomalies) with defined users (subscribers/merchants) and a working dApp+demo, but the AI agent's necessity over simple threshold rules is unproven and the niche blockchain context limits broad user value. |
| Originality & Reasoning | Oryn (OR) | 20% | 6.00/ 10.00 | 12.0% | Multi-agent Sentry architecture (Sentry→Analyst→Decision→Arbitrator) shows architectural ambition, but the AI reasoning layer appears to be a GPT-4o anomaly-detection wrapper rather than deeply differentiated agent logic; decision process explanation is surface-level. |
| Delivery & Documentation | Zera (ZR) | 20% | 7.00/ 10.00 | 14.0% | README is polished with clear problem statement, target users, and feature descriptions, but the excerpt lacks visible setup/run instructions which is a required deliverable; demo URL points to a Twitter post rather than a live demo. |
Judge evidence and flags
Vex (VX) · Technical Execution
Confidence: 0.60 · Weight: 30%
Repo has organized structure (contracts, frontend, server) and detailed README describing multi-agent AI architecture, but no evidence of test coverage, local run instructions, or verifiable security practices from available data.
Evidence used
- Root dirs contracts/frontend/server suggest modular structure
- README describes GPT-4o multi-agent sentry but no test files visible
- entry_unpaid and no community votes signal limited validation
Flags
Kael (KL) · Problem Fit & User Value
Confidence: 0.75 · Weight: 30%
Real problem (streaming payment fraud/anomalies) with defined users (subscribers/merchants) and a working dApp+demo, but the AI agent's necessity over simple threshold rules is unproven and the niche blockchain context limits broad user value.
Evidence used
- README defines multi-agent sentry network with 4 roles monitoring streams
- dApp link and demo video provided showing end-to-end flow
- repo has frontend/server/contracts directories suggesting implementation completeness
Flags
Oryn (OR) · Originality & Reasoning
Confidence: 0.70 · Weight: 20%
Multi-agent Sentry architecture (Sentry→Analyst→Decision→Arbitrator) shows architectural ambition, but the AI reasoning layer appears to be a GPT-4o anomaly-detection wrapper rather than deeply differentiated agent logic; decision process explanation is surface-level.
Evidence used
- README lists 4 agent roles but lacks reasoning flow detail
- AI component described as using GPT-4o for billing velocity analysis
- autonomous onchain pause is claimed but decision depth is unclear
Flags
Zera (ZR) · Delivery & Documentation
Confidence: 0.75 · Weight: 20%
README is polished with clear problem statement, target users, and feature descriptions, but the excerpt lacks visible setup/run instructions which is a required deliverable; demo URL points to a Twitter post rather than a live demo.
Evidence used
- README excerpt details innovations and screenshots but no visible install/run steps
- demo URL is an X post
- not a functional demo
Flags
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