A

Multi-Agent Conflict Debugger

3.90

Derivation Chain

Step 1 AI multi-agent framework proliferation
Step 2 Inter-agent conflict detection Infrastructure
Step 3 Automated conflict scenario reproduction debugger

Problem

Startups and development teams adopting multi-agent frameworks like Agent Swarm spend an average of 2-5 days debugging non-deterministic bugs such as inter-agent goal conflicts, infinite loops, and privilege escalation. With agent execution logs reaching tens of thousands of lines, manually pinpointing root causes is extremely difficult.

Solution

Automatically collects agent execution traces to detect conflict patterns (goal contradictions, resource contention, infinite delegation), auto-generates minimal reproduction scenarios, and provides fix suggestions (guardrail rules).

Target: AI Startup development teams with 3-30 staff, Freelancer AI engineers
Revenue Model: SaaS Monthly Subscription: Starter at 49,000 KRW (~$37)/month (up to 5 agents), Pro at 149,000 KRW (~$112)/month (up to 50 agents). Additional agents at 3,000 KRW (~$2.25) Per Transaction per month
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
5.0/5
M Market
4.0/5
R Realizability
3.0/5
V Validation
4.0/5
NUMR-V Scoring System
N Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation signal quality from competition and demand data.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (74%)

Tech Complexity
29.3/40
Data Availability
24.4/25
MVP Timeline
20.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.

Market Validation (67/100)

Competition
10.0/20
Market Demand
20.0/20
Timing
16.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
3.0/10
Validation Breakdown
Competition/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.

Technical Requirements

Backend [medium] AI/ML [medium] Frontend [low]
Dashboard