Grant Title
Grant Application - Quantir Risk Intelligence Layer for CoW Protocol
Author(s)
Ilya Berdar - Senior Blockchain Developer, main point of contact
Andriy Boichuk - Senior Software Developer
Alex Grishenko - Senior Software Developer
Project websites:
https://landing.quantirintelligence.com/
https://app.quantirintelligence.com/
Experiences and Qualifications
Quantir is built by a three-person engineering team focused on DeFi monitoring, protocol data infrastructure, risk scoring, alerting, and explainability.
The team has already built a working DeFi risk monitoring stack with live collectors, transaction monitoring, normalized risk scoring, alert delivery, explanation modules, API/WebSocket interfaces, deployed infrastructure, and support for multiple protocols across several chains.
Grant Description
Quantir is a DeFi risk monitoring and explainability platform. It continuously collects on-chain, market, and protocol activity data, computes normalized risk signals, detects abnormal behavior, and delivers machine-readable alerts together with human-readable explanations through API and WebSocket interfaces.
This grant proposes a CoW-specific Quantir module focused on risk intelligence for CoW Protocol and CoW AMM activity. The module will monitor protocol-level activity, solver and settlement patterns, order-flow anomalies, MEV-related risk signals, and liquidity stress conditions. The goal is to turn complex CoW ecosystem activity into explainable risk scores, real-time alerts, and integration-ready monitoring outputs.
The project is aligned with CoW Grants focus areas including developer tools, integrations, solver ecosystem support, and innovation. Instead of creating another raw analytics dashboard, Quantir will produce operational risk outputs that can be used by CoW ecosystem operators, dashboards, integrators, researchers, and monitoring workflows.
Planned capabilities include:
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CoW Protocol and CoW AMM activity ingestion.
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Entity mapping for relevant contracts, pools, solvers, settlements, and order-flow signals.
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Risk features for abnormal settlement behavior, order-flow concentration, liquidity stress, and suspicious execution patterns.
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Explainable alert payloads describing why a signal was flagged.
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API and WebSocket delivery for downstream integration.
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Technical documentation and validation examples.
The successful execution of this grant would benefit the CoW ecosystem by improving visibility into abnormal activity, helping integrators and operators monitor execution quality, and creating reusable infrastructure that turns CoW activity into actionable intelligence.
Type of Grant
Milestone-based grant.
Milestones
| Milestone | Title | Due date | Funding request |
|---|---|---|---|
| Milestone 1 | CoW data scope, entity mapping, and ingestion baseline | 3 weeks after acceptance | 10,000 xDAI |
| Milestone 2 | Risk scoring, anomaly logic, and explanation layer | 6 weeks after acceptance | 15,000 xDAI |
| Milestone 3 | API/WebSocket delivery, documentation, and validation release | 9 weeks after acceptance | 10,000 xDAI |
Specifics: Milestone 1
Milestone 1 will define the CoW-specific monitoring scope and establish the data foundation for the project.
Deliverables:
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Define initial supported CoW Protocol and CoW AMM monitoring scope.
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Map relevant contracts, entities, settlement activity, solver-related signals, order-flow sources, and liquidity-related data points.
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Implement initial ingestion for selected CoW activity.
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Store normalized snapshots and event records for downstream scoring.
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Produce a short technical note describing monitored entities, data sources, and limitations.
Funding request: 10,000 xDAI.
Specifics: Milestone 2
Milestone 2 will implement the core risk intelligence layer for the selected CoW activity.
Deliverables:
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Design CoW-specific risk features for settlement anomalies, order-flow concentration, liquidity stress, and abnormal execution patterns.
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Implement scoring logic for selected risk categories.
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Add explanation templates that describe why a signal was flagged.
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Generate structured alert payloads with severity, evidence, risk score delta, and reasoning.
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Validate signals on historical or live CoW activity where data is available.
Funding request: 15,000 xDAI.
Specifics: Milestone 3
Milestone 3 will make the outputs usable by external consumers and complete the release package.
Deliverables:
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Expose CoW-specific alerts through API endpoints.
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Add WebSocket delivery for real-time alert consumption.
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Publish alert schema documentation and integration examples.
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Provide a reference consumer or demo dashboard view.
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Publish validation examples showing how the system detects and explains selected CoW activity patterns.
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Deliver final project documentation and milestone report.
Funding request: 10,000 xDAI.
Length
The project will run for 9 weeks after grant acceptance. Commencement date is the successful passing of the proposal on Snapshot, unless otherwise agreed with the Grants Committee.
Expected finalization: 9 weeks after Snapshot approval.
Funding Request
Total funding requested: 35,000 xDAI.
No COW token allocation is requested for this proposal.
The funding request reflects a focused technical implementation involving CoW-specific data ingestion, risk feature design, scoring logic, explainability, API/WebSocket delivery, documentation, and validation. The work is structured around concrete deliverables rather than open-ended research.
Gnosis Chain Address
[Add Gnosis Chain wallet address]
Other Information
Quantir already has a working platform foundation: live collectors, transaction monitoring, risk scoring, alerts, explanation system, dashboard, API, WebSocket delivery, and deployed infrastructure. This grant would fund the CoW-specific expansion and validation rather than the creation of the entire system from scratch.
Quantir’s differentiator is that it combines monitoring, scoring, explainability, and alert delivery in one workflow. It does not only show charts or raw events; it translates protocol behavior into actionable, interpretable, machine-readable outputs.
Terms and Conditions
By submitting this grant application, I acknowledge and agree to be bound by the CoW DAO Participation Agreement and the CoW DAO Grant Agreement Terms.
Note to Committee
Please notify the Grantee of their reviewer and their steward in the thread and latest upon successful approval of the Grant on Snapshot.