Quantir Risk Intelligence and Deployment Monitoring Layer for Akash Network

[quantirintelligence]

Project Summary
Quantir proposes to build an Akash-native deployment and risk monitoring layer for decentralized cloud workloads. The project will deploy selected Quantir services on Akash, monitor their operational state, detect abnormal infrastructure behavior, and generate explainable alerts for developers, operators, and teams running production workloads on Akash.

Quantir is an existing DeFi and on-chain risk intelligence platform with live collectors, transaction monitoring, risk scoring, alert delivery, API/WebSocket interfaces, and explainability services. This grant would adapt Quantir’s monitoring architecture to Akash infrastructure and produce a reusable, open-source monitoring pattern for Akash deployments.

Requested funding: $30,000 equivalent in AKT
Estimated duration: 8 weeks
Payment structure: milestone-based

Problem Statement
Akash provides decentralized cloud infrastructure for containerized applications, APIs, websites, and compute workloads. However, teams running serious applications on decentralized infrastructure still need better visibility into operational risk.

Today, developers can deploy workloads on Akash, but monitoring is often fragmented across logs, providers, deployment dashboards, and custom scripts. Teams need a clearer way to answer practical questions:

Is my deployment healthy?
Are provider-level conditions changing?
Are costs, resource usage, or availability becoming abnormal?
Is there early evidence of service degradation?
What changed, how risky is it, and why should the operator care?

This matters because infrastructure risk usually does not appear as one isolated failure. It often builds through provider instability, resource pressure, abnormal restarts, latency, failed deployments, unusual billing/resource patterns, or degraded API availability. Quantir will turn those fragmented signals into structured, explainable monitoring outputs.

Goals
The goal of this grant is to create a working Akash deployment monitoring module that helps developers and operators understand infrastructure risk earlier and with clearer context.

The project will:

Deploy selected Quantir services on Akash.
Build an Akash deployment monitoring adapter.
Track public and operator-provided deployment signals.
Detect abnormal workload, provider, resource, or availability behavior.
Generate normalized risk scores for monitored deployments.
Produce explainable alerts with supporting evidence.
Expose API/WebSocket-ready alert outputs.
Publish documentation and a reference deployment guide.

Scope of Work
Quantir will build an Akash-specific monitoring module using the existing Quantir architecture.

The module will focus on:

Deployment state monitoring.
Provider and lease-related monitoring where data is available.
Workload health and restart patterns.
Resource usage anomalies.
Availability and service degradation signals.
Cost or billing-pattern anomalies where available.
API and endpoint health checks.
Explainable infrastructure-risk alerts.
Reference deployment of Quantir components on Akash.
Open-source documentation and integration examples.

The project will not modify Akash core protocol code, validator logic, provider internals, or governance modules. It will operate as an external monitoring and alerting layer for Akash workloads and developer-facing infrastructure.

Technical Approach
Quantir will use its existing multi-service architecture and adapt it to Akash infrastructure monitoring.

Core components:

Akash Deployment Adapter
Collects deployment, lease, provider, service-health, and workload-related signals from Akash deployments and available APIs.

Signal Normalization Layer
Converts raw infrastructure signals into comparable features such as availability changes, restart frequency, provider instability, endpoint failures, response-time changes, and abnormal resource behavior.

Risk Scoring Layer
Computes normalized infrastructure-risk scores and score deltas for monitored deployments.

Strategy and Alert Layer
Detects abnormal infrastructure behavior and triggers alert conditions.

Explanation Layer
Generates human-readable explanations showing why an alert was triggered and what evidence supports it.

Delivery Layer
Outputs alerts through API/WebSocket-ready schemas that can be consumed by dashboards, bots, or monitoring tools.

Example alert:

Category: deployment_health_anomaly
Severity: medium
Risk score: 74
Reasons: repeated restarts, degraded endpoint response, provider instability signal
Evidence: deployment ID, provider, timestamps, response checks, restart events
Explanation: “This Akash deployment was flagged because the workload restarted repeatedly while endpoint response checks degraded within the same monitoring window.”

Deliverables
Akash-specific monitoring scope and technical design.
Reference deployment of selected Quantir services on Akash.
Akash deployment monitoring adapter.
Structured alert schema for infrastructure-risk events.
Risk scoring logic for deployment and provider-related signals.
Explainable alert generation.
API/WebSocket-ready alert outputs.
Reference integration or sample dashboard consumer.
At least 5 alert categories.
At least 10 sample alert scenarios.
Setup guide, deployment guide, and testing documentation.
Final validation report.

Milestones and Timeline
Total estimated duration: 8 weeks.

Milestone 1: Akash Deployment Scope and Architecture
Timeline: Weeks 1-2
Funding requested: $7,000 equivalent in AKT

Deliverables:
Akash-specific monitoring scope.
Supported signal-source mapping.
Initial deployment architecture.
Alert category taxonomy.
Initial JSON alert schema.
Implementation plan.

Success criteria:
At least 5 Akash monitoring categories defined.
Initial alert schema completed.
Quantir services selected for Akash deployment.
Architecture and data-source assumptions documented.

Milestone 2: Akash Deployment and Monitoring Adapter
Timeline: Weeks 3-4
Funding requested: $8,000 equivalent in AKT

Deliverables:
Selected Quantir services deployed on Akash.
Akash monitoring adapter prototype.
Deployment health signal collection.
Provider/lease-related signal handling where available.
Basic test coverage for adapter logic.

Success criteria:
Quantir services run on Akash in a test or pilot environment.
Adapter processes selected Akash deployment signals.
Structured monitoring events are generated from deployment activity.

Milestone 3: Risk Scoring and Explainable Alerts
Timeline: Weeks 5-6
Funding requested: $8,000 equivalent in AKT

Deliverables:
Risk scoring logic for Akash deployment signals.
Alert triggering logic.
Human-readable explanation layer.
At least 5 alert categories implemented.
At least 10 sample alert scenarios.

Success criteria:
Alerts include severity, risk score, reason codes, evidence, and explanation.
System detects abnormal deployment or availability behavior in sample/pilot scenarios.
Sample alerts are documented.

Milestone 4: API/WebSocket Outputs, Documentation, and Final Report
Timeline: Weeks 7-8
Funding requested: $7,000 equivalent in AKT

Deliverables:
API/WebSocket-ready alert outputs.
Reference consumer or sample dashboard integration.
Akash deployment guide.
Setup and testing guide.
Final validation report.
Public or reviewable repository updates.

Success criteria:
External consumers can read structured alert outputs.
Reviewers can inspect or run the prototype.
Documentation explains how to deploy and monitor workloads on Akash using the delivered module.
Final report includes results, limitations, and recommended next steps.

Budget
Total funding requested: $30,000 equivalent in AKT.

Budget breakdown:

Engineering and Akash-specific integration: $12,000
Akash deployment work and infrastructure testing: $5,000
Risk signal design and scoring logic: $4,000
API/WebSocket outputs and reference integration: $3,000
Validation, testing, and documentation: $4,000
Grant reporting and contingency: $2,000

Preferred payment structure: milestone-based.

Team
The project will be delivered by the Quantir core team.

Ilya Berdar — Senior Blockchain Developer / Project Lead
Responsible for technical architecture, Akash integration scope, deployment strategy, risk engine adaptation, grant communication, and final delivery.
Linkedin: https://www.linkedin.com/in/ilya-berdar-6063a11b6/

Andriy Boichuk — Senior Software Developer
Responsible for backend services, deployment infrastructure, monitoring adapter, normalization logic, tests, and reliability workflows.
Linkedin: https://www.linkedin.com/in/andriy-boichuk-519291b/

Alex Grishenko — Senior Software Developer
Responsible for alert schemas, explanation outputs, reference integration, documentation, validation examples, and product implementation.
Linkedin: https://www.linkedin.com/in/alex-grishenko-66167b62/

Relevant Links
Quantir landing page:
https://landing.quantirintelligence.com/

Quantir app:
https://app.quantirintelligence.com/

Quantir GitHub repository:
https://github.com/quantirintelligence/quantir-risk-engine

Open Source Commitment
Quantir will publish the Akash-specific monitoring adapter, alert schemas, deployment guide, and reference integration as open-source or reviewable grant deliverables. The project will also include documentation so other Akash developers can reuse the monitoring pattern for their own deployments.

Long-Term Plan
If the pilot is successful, Quantir can expand Akash monitoring to broader infrastructure use cases, including multi-provider workload comparison, cost and reliability analytics, decentralized cloud risk dashboards, and monitoring templates for teams running DeFi, AI, analytics, and Web3 services on Akash.

Additional Information
Quantir’s differentiator is that it combines monitoring, scoring, explainability, and alert delivery in one workflow. It does not only show dashboards or raw logs; it translates infrastructure behavior into actionable, interpretable, machine-readable outputs.

This proposal is implementation-focused and designed to produce reusable infrastructure for Akash developers and operators.