DeepTrust – Reputation and Voting Weight System

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PhilipeSantos
Project Owner

DeepTrust – Reputation and Voting Weight System

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Overview

DeepTrust is a scalable, modular, and transparent Reputation & Voting Weight System designed for DeepFunding’s governance needs. It leverages event-driven processing, customizable reputation scoring services, and a dynamic UI to ensure fairness, security, and adaptability. The system supports user-controlled configurations, auditability, and ZKP readiness for future privacy enhancements. With a robust technical stack, security-first design, and structured development roadmap, DeepTrust sets a new standard for decentralized reputation-based decision-making.

RFP Guidelines

Reputation and Voting Weight System

Internal Proposal Review
  • Type Community RFP
  • Total RFP Funding $140,000 USD
  • Proposals 14
  • Awarded Projects n/a
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Juana Attieh
Dec. 19, 2024

The goal of this project is to develop functionality that will enable modular microservices that support data collection, scoring, and analytics functions as part of a reputation and voting weight system. This should include an architecture to allow for the integration of future microservices, an initial suite of key microservices, and a user interface that allows users to find and utilize various configurations of the microservices.

 

Proposal Description

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  • Total Milestones

    6

  • Total Budget

    $120,000 USD

  • Last Updated

    3 Mar 2025

Milestone 1 - Reputation Scoring Engine Development

Description

Develop the core scoring engine and establish an API for seamless integration.

Deliverables

Working Reputation Scoring Engine with a standardized API and a prototype scoring service.

Budget

$25,000 USD

Success Criterion

Reputation scores are computed and aggregated correctly, and the API successfully integrates with a test scoring service.

Milestone 2 - Reputation Expression Engine Development

Description

Enable users to define and modify scoring rules dynamically.

Deliverables

Rule parser and validation system with real-time execution and feedback.

Budget

$25,000 USD

Success Criterion

Users can create and validate scoring expressions without system errors or inconsistencies.

Milestone 3 - Scoring Services Management

Description

Develop an intuitive interface for managing scoring configurations.

Deliverables

Fully functional UI allowing users to fine-tune and configure scoring services dynamically.

Budget

$20,000 USD

Success Criterion

Users can manage scoring settings without requiring backend modifications.

Milestone 4 - Integration with External APIs & Score Services

Description

Implement score services and integrate external data sources.

Deliverables

DeepFunding Proposal and Voting Scoring Services On-Chain Scoring Service Credibility Scoring Service and external API integrations.

Budget

$15,000 USD

Success Criterion

Reputation services pull and process data correctly, integrating with external providers.

Milestone 5 - ZKP Integration Readiness & User Consent Dashboard

Description

Prepare the system for future ZKP-based verification and implement user data

Deliverables

ZKP readiness infrastructure and a User Consent Dashboard for managing reputation data.

Budget

$15,000 USD

Success Criterion

Users can control data permissions, and ZKP integration is architecturally supported for future enhancements.

Milestone 6 - Scaling Logging & Monitoring Implementation

Description

Optimize performance and implement system-wide monitoring.

Deliverables

Scalable architecture real-time logging and anomaly detection system.

Budget

$20,000 USD

Success Criterion

The system handles high transaction volumes efficiently, and monitoring tools detect and log anomalies accurately.

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