Author(s): Ilya Berdar / Quantir Team
Reviewer(s): RARI Foundation / RARI DAO reviewers
Quantir proposes to build a risk intelligence and monitoring layer for RARI Chain and Rarible ecosystem activity. The project will deliver explainable alerts, risk scores, and integration-ready outputs for abnormal marketplace behavior, contract activity, collection-level risk, and infrastructure signals. We are requesting $30,000 equivalent in RARI / veRARI, paid by milestones, to complete a focused 8-week pilot that improves ecosystem visibility and operational monitoring for RARI builders and operators.
The RARI ecosystem is expanding around onchain commerce, creator-owned markets, Rarible Protocol, Rarible API, RaribleX, and RARI Chain. As marketplace and application activity grows, ecosystem teams need better visibility into abnormal activity, suspicious patterns, contract-level behavior, and operational risk.
Today, this type of monitoring is often fragmented across block explorers, dashboards, manual checks, and isolated tools. Builders and operators can see raw events, but they do not always get a normalized answer to practical questions: what changed, why is it unusual, how risky is it, and what evidence supports the alert?
Quantir addresses this by turning onchain and protocol activity into explainable risk signals. For RARI DAO, this can provide a reusable monitoring layer that helps ecosystem teams, marketplace operators, dashboards, and future integrations react earlier to abnormal behavior and improve trust in RARI Chain activity.
Quantir will build a RARI-aware monitoring module focused on RARI Chain and Rarible ecosystem activity. The system will collect public onchain and ecosystem signals, normalize them into risk features, detect abnormal behavior, and produce structured alerts with human-readable explanations.
The first version will focus on:
- RARI Chain public onchain activity relevant to marketplace and application behavior.
- Rarible-related contract and marketplace activity where public data is available.
- Collection-level and contract-level anomaly signals.
- Abnormal minting, transfer, trade, and interaction patterns.
- Suspicious activity clusters and unusual address behavior.
- Infrastructure-facing signals that can help dashboards and operators monitor ecosystem health.
The system will not modify Rarible Protocol, RARI Chain contracts, marketplace contracts, or DAO governance contracts. It will function as an external monitoring and intelligence layer.
Technical scope:
- Public data ingestion and entity mapping for selected RARI ecosystem activity.
- Risk signal taxonomy for marketplace, collection, contract, and activity anomalies.
- Risk scoring logic for normalized monitoring outputs.
- Explanation layer that describes why an alert was generated.
- API/WebSocket-ready alert payload schemas.
- Reference integration example for consuming alerts.
- Documentation, setup guide, and validation examples.
Deliverables / Outcomes
- RARI-specific monitoring scope and technical design.
- Public signal taxonomy for RARI Chain and Rarible ecosystem activity.
- Structured alert schema for risk events.
- RARI-aware ingestion prototype for selected public activity.
- Risk scoring logic for marketplace, collection, contract, and activity anomalies.
- Explainable alert generation.
- API/WebSocket-ready output format.
- Reference integration or sample consumer.
- At least 5 alert categories.
- At least 10 sample alert scenarios.
- Validation examples and final technical report.
- Setup and testing documentation.
Key Performance Indicators
- At least 5 documented RARI ecosystem risk categories.
- At least 10 sample alerts generated from public or sample activity data.
- Working prototype that produces structured risk alerts.
- Alerts include severity, score, reasons, evidence, and explanation.
- Reference consumer can read and display alert outputs.
- Documentation enables an external developer to understand and run the prototype.
- Final validation report with at least 3 case studies or simulated examples.
- Public or reviewable repository with code, schemas, examples, and documentation.
Rationale
RARI DAO’s long-term ecosystem growth depends on trusted infrastructure, useful developer tools, and stronger visibility into activity across RARI Chain and Rarible-powered applications. Quantir supports this mission by adding an operational intelligence layer that can be reused by builders, dashboards, marketplaces, and ecosystem teams.
The proposal aligns with RARI DAO because it improves ecosystem monitoring without requiring protocol changes. It helps turn raw onchain activity into actionable signals that are easier for humans and systems to use. This can support safer growth for creators, collectors, marketplace operators, and application developers building around RARI Chain.
Risks & Mitigations
Risk: RARI ecosystem data sources may differ in availability or structure.
Mitigation: We will start with a limited, clearly defined scope and use public data sources and documented schemas that can be expanded later.
Risk: Early alert logic may produce false positives.
Mitigation: Alerts will include transparent reasons and evidence fields, and we will document limitations clearly during the pilot.
Risk: The scope could become too broad if we try to monitor every RARI-related activity type.
Mitigation: The first version will focus on selected high-value categories: marketplace activity, collection anomalies, contract interactions, and ecosystem-level monitoring outputs.
Risk: Quantir is originally DeFi-focused, while RARI is centered around onchain commerce and NFTs.
Mitigation: The proposal adapts Quantir’s core monitoring, scoring, and explanation engine to RARI-specific activity instead of presenting a generic DeFi product.
Timeline
Estimated duration: 8 weeks after approval.
Milestone 1: Scope, Design, and Signal Taxonomy
Timeline: Weeks 1-2
Deliverables: RARI activity scope, signal taxonomy, alert schema, architecture document, and implementation plan.
Funding: $8,000 equivalent in RARI / veRARI.
Milestone 2: Ingestion and Risk Signal Prototype
Timeline: Weeks 3-4
Deliverables: RARI-aware data ingestion prototype, normalized activity features, first risk scoring logic, and sample alert generation.
Funding: $9,000 equivalent in RARI / veRARI.
Milestone 3: Explainable Alerts and Reference Integration
Timeline: Weeks 5-6
Deliverables: explanation logic, API/WebSocket-ready outputs, reference consumer, and sample alert scenarios.
Funding: $7,000 equivalent in RARI / veRARI.
Milestone 4: Validation, Documentation, and Final Delivery
Timeline: Weeks 7-8
Deliverables: validation examples, final documentation, setup guide, technical report, and delivery summary.
Funding: $6,000 equivalent in RARI / veRARI.
Expected completion: 8 weeks after grant approval.
Budget
Total funding requested: $30,000 equivalent in RARI / veRARI.
Preferred payment structure: milestone-based.
Budget breakdown:
- Engineering and RARI-specific integration: $12,000
- Risk signal design and scoring logic: $5,000
- Alert schemas, explanations, and API/WebSocket-ready outputs: $4,000
- Reference integration and sample consumer: $3,000
- Validation, testing, and documentation: $4,000
- Infrastructure, data access, and contingency: $2,000
Team
Quantir Team
Ilya Berdar
Role: Senior Blockchain Developer / Project Lead
Responsibilities: technical architecture, RARI integration scope, risk engine adaptation, grant communication, and final delivery.
Andriy Boichuk
Role: Senior Software Developer
Responsibilities: backend services, data ingestion, infrastructure, normalization logic, testing, and deployment workflows.
Alex Grishenko
Role: Senior Software Developer
Responsibilities: alert schemas, explanation outputs, reference integration, documentation, validation examples, and product implementation.
The Quantir team has already built a working multi-service risk monitoring platform with live collectors, transaction monitoring, risk scoring, alert delivery, API/WebSocket interfaces, explainability services, and dashboard-facing outputs.
Relevant Links
Quantir landing page: https://landing.quantirintelligence.com/
Quantir app: https://app.quantirintelligence.com/
GitHub repository: GitHub - quantirintelligence/quantir-risk-engine: Public grant repository for Quantir's DeFi risk engine core, focused on Uniswap and Balancer monitoring. · GitHub