We architect and deploy custom smart contracts that are secure by design and ready for mainnet. Our process delivers a 2-week MVP for standard token or NFT contracts, with full audit readiness.
LABS
Services
NEAR Social Graph Anti-Sybil Mechanism Design
We design and integrate custom Sybil-detection algorithms into NEAR's social graph to protect decentralized social applications from fake account inflation, spam, and reputation manipulation.
Chainscore © 2026
overview
CORE SERVICE
Custom Smart Contract Development
Secure, production-ready smart contracts built for your specific Web3 use case.
- Security-First Development: Built on
Solidity 0.8+using OpenZeppelin libraries and industry-standard security patterns. - Protocol-Specific Logic: Custom logic for DeFi (AMMs, lending), NFTs (dynamic metadata, royalties), DAOs, and more.
- Full Lifecycle Support: From architecture and development through testing, deployment, and post-launch maintenance.
We guarantee 99.9% uptime for deployed contracts and provide a comprehensive audit report, ensuring your foundation is robust and investor-ready.
key-features-cards
PROVEN MECHANISMS
Our Anti-Sybil Design Capabilities
We architect and implement robust, multi-layered defenses against Sybil attacks, ensuring the integrity and fairness of your NEAR Social Graph. Our designs are battle-tested and tailored to your specific tokenomics and governance model.
benefits
DELIVERABLES
Outcomes for Your dSocial Platform
We design and implement custom anti-sybil mechanisms that directly enhance your platform's security, user trust, and long-term value. Here's what you can expect.
01
Custom Sybil-Resistant Identity Graph
A proprietary, on-chain social graph that maps user relationships and activity patterns to algorithmically flag and deter fake accounts, built directly on NEAR's data availability layer.
> 90%
Sybil Detection Rate
< 0.1%
False Positive Rate
02
Reputation & Trust Scoring Engine
A dynamic, on-chain scoring system that quantifies user authenticity based on social connections, transaction history, and content engagement, enabling features like weighted governance and curated feeds.
Real-time
Score Updates
Multi-factored
Algorithm
03
Gas-Optimized Verification Contracts
Audited smart contracts for on-chain verification actions (e.g., attestations, proofs-of-humanity) that minimize transaction costs for users, encouraging protocol participation.
~0.001 NEAR
Avg. Verification Cost
OpenZeppelin
Security Standard
04
Comprehensive Threat Analysis Dashboard
A real-time admin dashboard providing visibility into sybil attack vectors, network cluster analysis, and the health of your platform's social fabric, with configurable alerts.
24/7
Monitoring
Actionable
Insights
05
Integration & Migration Framework
Seamless integration of the anti-sybil layer with your existing frontend and smart contracts, including migration paths for user data and reputation from legacy systems.
2-4 weeks
Typical Integration
Zero Downtime
Migration SLA
06
Ongoing Mechanism Tuning
Continuous analysis and parameter adjustment of your sybil defense system based on live attack data and platform growth, ensuring long-term resilience against evolving threats.
Quarterly
Strategy Reviews
Proactive
Updates
Structured Delivery for Trust & Scalability
NEAR Social Graph Anti-Sybil Implementation Phases
A transparent, phased roadmap for designing and deploying a robust anti-sybil mechanism on the NEAR Social graph, from initial threat modeling to ongoing monitoring.
| Phase & Key Deliverables | Starter (Design & Audit) | Professional (Full Implementation) | Enterprise (Managed Service) |
|---|---|---|---|
| |||
| Design Document | Deployed Smart Contract | Deployed + Upgradable Contract |
| Specification Only | Operational Pipeline (AWS/GCP) | Managed Pipeline + Real-time Alerts |
| 1 Round by Partner Firm | 2 Rounds (Internal + External) | 3 Rounds + Formal Verification |
| Not Included | Full Deployment & Integration Support | Deployment, Integration & Load Testing |
| Not Included | 30-Day Post-Launch Support | 12-Month SLA with Quarterly Tuning |
| Not Included | Basic Grafana Dashboard | Custom Real-time Dashboard & API |
Time to Production | 3-4 Weeks | 6-8 Weeks | 8-10 Weeks |
Typical Project Investment | $15K - $25K | $50K - $100K | $150K+ (Custom) |
how-we-deliver
PROVEN FRAMEWORK
Our Methodology for Sybil-Resistant Design
We deploy a multi-layered defense strategy, combining on-chain analysis, behavioral modeling, and economic incentives to protect your NEAR Social Graph from fraudulent actors and ensure authentic user growth.
01
On-Chain Identity & Reputation Analysis
We analyze transaction history, asset holdings, and interaction patterns across the NEAR ecosystem to establish a foundational identity score, separating organic users from coordinated Sybil clusters.
10+
On-chain signals
NEAR, Aurora
Protocols analyzed
02
Behavioral Graph Modeling
Our algorithms map social connections and interaction velocities to detect unnatural growth patterns and bot-like behavior within your application's specific user graph.
Real-time
Detection
Anomaly Scoring
Model output
03
Economic Bond & Staking Mechanisms
We design and implement custom staking contracts and slashing conditions that impose a tangible cost on malicious behavior, making Sybil attacks economically non-viable.
Custom
Slashing logic
NEAR, wNEAR
Supported assets
04
Continuous Threat Intelligence
Leveraging our proprietary data on known attack vectors and adaptive machine learning models, we provide ongoing monitoring and rule updates to counter evolving Sybil tactics.
24/7
Monitoring
Adaptive ML
Core technology
05
Modular & Configurable Rule Engine
Deploy a flexible rule set that allows you to adjust sensitivity, whitelist trusted entities, and define custom Sybil criteria tailored to your app's governance or reward distribution.
No-code
Rule config
Granular Controls
Access level
06
Comprehensive Audit & Reporting
Receive detailed analysis reports on identified threats, false positive rates, and the overall health of your social graph, backed by verifiable on-chain evidence.
Actionable
Reports
On-chain Proof
Evidence provided
Infrastructure Decision Analysis
Build vs. Buy: Anti-Sybil for NEAR
A detailed comparison of the cost, time, and risk involved in developing an in-house anti-sybil system versus partnering with Chainscore Labs for a production-ready solution.
| Factor | Build In-House | Chainscore Solution |
|---|---|---|
Time to Production | 6-12 months | 4-8 weeks |
Initial Development Cost | $150K - $400K+ | $25K - $75K |
Security Audit Requirement | High Risk (Unaudited) | Pre-Audited & Battle-Tested |
NEAR Protocol Expertise | Requires Hiring/Training | Included (Core Contributors) |
Ongoing Maintenance & Updates | Full-time Dev Team | Managed Service (Optional SLA) |
Sybil Detection Accuracy | Variable (Trial & Error) |
|
Integration with NEAR Social Graph | Custom Implementation | Native SDK & APIs |
Total Cost of Ownership (Year 1) | $300K - $600K+ | $50K - $150K |
Guaranteed Uptime SLA | Your Responsibility | 99.9% Available |
NEAR Social Graph Anti-Sybil
Frequently Asked Questions
Get clear answers on our specialized service for designing and implementing robust Sybil resistance for NEAR Social Graph applications.
Our process is a four-phase engagement: 1. Threat Modeling – We analyze your specific dApp's attack vectors and incentive structures. 2. Mechanism Design – We architect a custom solution combining on-chain attestations, social graph analysis, and economic staking. 3. Implementation & Integration – We build and deploy the smart contracts and indexers, integrating seamlessly with your existing NEAR Social components. 4. Simulation & Tuning – We run agent-based simulations to stress-test the system and fine-tune parameters before mainnet launch.
ENQUIRY
Get In Touch
today.
Our experts will offer a free quote and a 30min call to discuss your project.
NDA Protected
Confidentiality24h Response
Time to ValueDirectly to Engineering Team
No Sales Fluff10+
Protocols Shipped
$20M+
TVL Overall