Project Summary
Quantir proposes to build an IoTeX-specific risk intelligence and explainable alerting layer for DePIN, DeFi, bridge, and infrastructure monitoring.
The goal is to help IoTeX builders, DePIN teams, DeFi protocols, infrastructure operators, and ecosystem participants detect abnormal activity earlier, understand risk more clearly, and integrate structured risk alerts into dashboards, bots, APIs, or internal monitoring systems.
The proposed module will monitor selected public or opt-in IoTeX ecosystem signals and convert them into structured alerts with severity levels, risk scores, reason codes, evidence fields, and human-readable explanations.
Problem
IoTeX is strongly positioned around DePIN and real-world data, while also supporting DeFi, bridges, wallets, infrastructure, and ecosystem applications. As more DePIN and DeFi activity grows on IoTeX, builders need better visibility into operational and financial risk.
Common challenges include:
-
DePIN projects may expose public operational signals, but these signals are not always easy to normalize, compare, or monitor.
-
DeFi and bridge activity can change quickly, creating liquidity, routing, and abnormal-activity risks.
-
Ecosystem teams need explainable alerts, not only raw dashboards.
-
Developers need reusable schemas and monitoring patterns that can be integrated into their own tools.
-
Early ecosystems benefit from risk tooling before major liquidity, users, or incidents arrive.
Proposed Solution
Quantir will build a risk intelligence module focused on IoTeX DePIN, DeFi, bridge, and infrastructure signals.
The module will include:
-
IoTeX risk signal taxonomy.
-
Monitoring adapter for selected public or opt-in IoTeX ecosystem signals.
-
Alert schema for DePIN, DeFi, bridge, liquidity, infrastructure, and abnormal activity risks.
-
Risk scoring and explanation logic.
-
Sample alert scenarios.
-
API/WebSocket-ready alert payload examples.
-
Reference dashboard or alert consumer.
-
Documentation, setup guide, tests, and final technical report.
The initial scope will focus on public and ecosystem-safe signals. Quantir will not attempt to collect private user data or create opaque risk labels. Every alert will include clear reasons and evidence references where possible.
Ecosystem Fit
This project fits the IoTeX ecosystem as Infrastructure / Developer Tooling.
It can support:
-
DePIN teams that need monitoring and explainable status/risk alerts.
-
DeFi protocols that need liquidity, transaction, bridge, or abnormal activity monitoring.
-
Infrastructure operators that need operational visibility.
-
Developers who want reusable alert schemas and risk monitoring examples.
-
Ecosystem reviewers who need better visibility into project health and activity.
The project can also complement IoTeX ecosystem components such as ioTube, ioPay, mimo.exchange, explorers, DeFi dashboards, and future DePIN monitoring workflows.
Current Status
Quantir already has a working on-chain risk intelligence platform foundation, including:
-
Live collectors.
-
Protocol snapshots.
-
Transaction monitoring.
-
Normalized risk scoring.
-
Alert generation.
-
API/WebSocket interfaces.
-
Explainability services.
-
Monitoring support across 11 protocols and 3 chains in the broader Quantir platform.
The IoTeX-specific module is not live yet and will be built as part of this grant.
Technical Approach
The technical approach has five parts:
- IoTeX signal taxonomy
Define the first set of IoTeX DePIN, DeFi, bridge, and infrastructure risk signals.
- Data model and alert schema
Create normalized schemas for input signals and output alerts. Alerts will include severity, risk score, reason codes, evidence fields, timestamps, category, and human-readable explanations.
- Monitoring adapter
Build a prototype adapter for selected public or opt-in IoTeX ecosystem data sources.
- Risk scoring and explainability
Implement scoring and explanation logic so alerts are transparent and actionable.
- Reference integration
Provide a lightweight dashboard or API/WebSocket consumer that shows how IoTeX builders can consume the alerts.
Deliverables
The grant will deliver:
-
IoTeX DePIN / DeFi / bridge risk taxonomy.
-
IoTeX-specific alert schema.
-
Prototype monitoring adapter.
-
Risk scoring and explanation logic.
-
At least 5 alert categories.
-
At least 10 sample alert scenarios.
-
API/WebSocket-ready payload examples.
-
Tests and setup guide.
-
Reference dashboard or alert consumer.
-
Final documentation and technical report.
-
Public repository with IoTeX-specific schemas, examples, and documentation where appropriate.
Milestones
Milestone 1: IoTeX Risk Taxonomy and Architecture
Timeline: 2 weeks
Funding requested: $10,000 equivalent
Deliverables:
-
IoTeX DePIN / DeFi / bridge risk taxonomy.
-
Initial supported data-source list.
-
Alert schema.
-
Architecture documentation.
-
Open-source delivery plan.
Completion criteria:
-
Reviewers can inspect the taxonomy, schema, architecture, and planned data-source scope.
-
The project scope is clearly aligned with IoTeX Infrastructure / Developer Tooling.
Milestone 2: Monitoring Adapter and Explainable Alerts
Timeline: 4 weeks
Funding requested: $20,000 equivalent
Deliverables:
-
Prototype IoTeX monitoring adapter.
-
Risk scoring logic.
-
Human-readable explanation logic.
-
At least 5 alert categories.
-
At least 10 sample alert scenarios.
-
API/WebSocket-ready alert examples.
-
Tests and setup guide.
Completion criteria:
-
The prototype can process sample or public IoTeX ecosystem inputs.
-
The system generates structured, explainable alerts with reason codes and evidence fields.
Milestone 3: Reference Dashboard and Public Delivery
Timeline: 3 weeks
Funding requested: $10,000 equivalent
Deliverables:
-
Reference dashboard or API/WebSocket consumer.
-
Developer documentation.
-
Public repository with IoTeX-specific schemas and examples where appropriate.
-
Final technical report.
-
Forum update and community feedback summary.
Completion criteria:
- IoTeX builders can review the documentation, inspect sample alerts, and understand how to reuse the schemas or integrate the alert outputs.
Budget
Total funding requested: $40,000 equivalent
Budget allocation:
-
$10,000 — Research, taxonomy, architecture, schema design.
-
$20,000 — Monitoring adapter, risk scoring, explainable alerts, tests.
-
$10,000 — Reference integration, documentation, final report, community feedback.
The budget will be used for engineering, testing, infrastructure, documentation, and ecosystem-specific integration work.
Open Source Plan
The IoTeX-specific schemas, sample alerts, documentation, setup guide, and reference examples will be open-source where appropriate.
Some broader Quantir production infrastructure may remain private because it is part of the existing platform and is not required to verify the grant deliverables.
Why Quantir
Quantir is already building the underlying infrastructure needed for this proposal: on-chain collectors, protocol snapshots, transaction monitoring, risk scoring, alert generation, API/WebSocket interfaces, and explainability services.
This makes the IoTeX grant scope realistic and focused. Rather than starting from zero, the team will adapt existing risk intelligence foundations into an IoTeX-specific public-good module for DePIN, DeFi, bridge, and infrastructure monitoring.
Long-Term Plan
After the grant, Quantir plans to:
-
Expand supported IoTeX DePIN and DeFi signals.
-
Add more ecosystem-specific alert categories.
-
Work with IoTeX teams for feedback and integrations.
-
Explore deeper monitoring for DePIN public metrics and bridge/liquidity risk.
-
Maintain the schemas and documentation for builders who want to integrate risk alerts.
Ilya Berdar — Founder / Project Lead / Senior Blockchain Developer
Responsible for product architecture, blockchain integrations, technical direction, grant communication, and milestone delivery.
LinkedIn: https://www.linkedin.com/in/ilya-berdar-6063a11b6/
X: **https://x.com/ZeroDelt0
**
Andriy Boichuk — Senior Software Developer
Focused on backend architecture, service reliability, data processing, monitoring adapters, infrastructure, testing, and deployment workflows.
LinkedIn: **https://www.linkedin.com/in/andriy-boichuk-519291b/
**
Alex Grishenko — Senior Software Developer
Focused on integrations, data workflows, dashboard-facing systems, alert schemas, documentation, validation examples, and developer-facing materials.
LinkedIn: **https://www.linkedin.com/in/alex-grishenko-66167b62/
**
Contact: [email protected]
Telegram: @Gamzatel
Website: https://landing.quantirintelligence.com/
App: https://app.quantirintelligence.com/
GitHub: https://github.com/quantirintelligence/quantir-risk-engine
X: https://x.com/QuantirSentinel