B

Agent Network Policy Visualizer

3.30

Derivation Chain

Step 1 Proliferation of AI agent sandbox isolation technology
→
Step 2 Growing demand for multi-agent communication security management

Problem

In multi-agent systems, managing inter-agent network communication paths and external API access scopes becomes unmanageable as agents grow beyond 5—network policy files (K8s NetworkPolicy, iptables, etc.) multiply into dozens, making it impossible to grasp the full communication map. Frequent incidents occur where policy mistakes allow agents to access unintended external services or block necessary internal communications.

Solution

Parses inter-agent network policy files to visualize communication relationships as a graph and automatically detects policy conflicts/gaps with remediation suggestions. Core features: (1) K8s NetworkPolicy/iptables/security group parsing → interactive communication map, (2) Auto-detection of policy conflicts (bidirectional block contradictions, unused rules), (3) Policy change diff review when agents are added/removed.

Target: DevOps/Platform engineers at Startups with 5-30 employees running AI agent-based services
Revenue Model: SaaS Monthly Subscription. Free (5 agents, read-only), Pro $37/month (30 agents + conflict detection + Slack alerts), Team $89/month (100 agents + policy change approval workflow)
Ecosystem Role: Regulation
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
4.0/5
V Validation
3.0/5
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.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
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
25.0/25
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.
Total 100 points; below 50% is filtered out.

Market Validation (55/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
9.0/15
Pick-Axe Fit
10.5/15
Solo Buildability
7.0/10
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.
Total 100 points; below 50 is filtered out.

Technical Requirements

Backend [medium] Frontend [medium] Infrastructure [low]
Dashboard