B

Agentic AI Billing Metering

4.05

Derivation Chain

Step 1 Agentic AI proliferation (Galaxy Unpacked 2026)
→
Step 2 Increase in SaaS products based on agentic AI
→
Step 3 Billing and settlement infrastructure for agent actions

Problem

As SaaS products with agentic AI increase, existing per-seat or per-API-call billing models cannot accurately bill for the value of 'tasks' autonomously performed by agents. In a structure where an agent makes 5-50 internal API calls for a single user request, SaaS companies (5-30 employees) cannot calculate costs and cannot offer reasonable pricing to customers, leading to underbilling (margin erosion) or overbilling (customer churn).

Solution

(1) A metering SDK that automatically aggregates internal API calls, tokens, and external service costs per agent task, (2) real-time dashboard visualization of cost and margin per task, and (3) automatic generation of customer-facing usage-based invoices.

Target: CTOs and finance leads at 5-30 person startups operating B2B SaaS with agentic AI features.
Revenue Model: Usage-based: free up to 100,000 metering events per month, then 1,900 KRW (approx. $1.43) per 10,000 events. Premium (invoice automation, Stripe integration) at 49,000 KRW (approx. $36.75) per month.
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
5.0/5
M Market
4.0/5
R Realizability
4.0/5
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.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (74%)

Tech Complexity
34.7/40
Data Availability
19.4/25
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.
Total 100 points; below 50% is filtered out.

Market Validation (59/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
16.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
13.5/15
Solo Buildability
5.0/10
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 [low] Infrastructure [low]
Dashboard