Integrated Money Universe × Skyloop
Scenario command center
A deterministic 36-month bridge. Money Universe owns macro calculations; Market Fit owns funnel and unit economics. Every result is simulated and evidence-labeled.
Macro bridge
Money Universe → demand
Inflation
5.1
Trade
62.4
Stability
66.1
Wealth
70.5
Demand × 1.06 · retention × 1.05 · cost × 1.05
Trust 58 → 61.9 · productivity 62 → 62.1
Product funnel
Understanding → retained user
Visitors
1,272
Activated
86
New paid
2
Active paid
2
Churned
0
Visuals
1,898
Cost laboratory
API evidence gate
API cost unavailable
Verified pricing is missing for Awaiting official verification.
Total API cost: Needs verified input · known costs: $1,292
Money loop · month 1
Users → revenue → cost → feedback
Revenue
$24
Total cost
Needs verified input
Gross profit
Needs verified input
Runway
Needs evidence
Review copilot
Blocking findings
blocking: Unverified API pricing blocks gross profit, margin, and break-even claims.
Add dated official provider prices and verify every model in the mix.
info: Money Universe remains the macro source of truth; the Skyloop overlay is simulated and reversible.
Replace assumptions with measured observations through human review.
Sensitivity laboratory
What changes the decision most?
activationRate
0 paid users
+10% test · mixed
repeatSessionRate
0 paid users
+10% test · mixed
paidConversionRate
0 paid users
+10% test · mixed
monthlyChurnRate
4 paid users
+10% test · positive
proMonthlyPriceUsd
0 paid users
+10% test · mixed
freeVisualsPerUser
0 paid users
+10% test · mixed
paidVisualsPerUser
0 paid users
+10% test · mixed
monthlyOperatingBudgetUsd
0 paid users
+10% test · mixed
Show contract and evidence boundary
Macro source: Money Universe · simulated
Product source: Market Fit · simulated
Bridge policy: bridge-v1 · versioned
API pricing: dated official sources required · current fixture unverified
Persistence: local only · no database, billing, customer data, or API keys
Release: simulator never claims product-market fit
Loading private Market Analysis workspace…
Maths AI → Skyloop Market Fit
Maths AI Scenario Optimizer
Bounded candidate search over the existing Market Fit simulator. This is a review copilot: it cannot publish, bill, spend, or claim product-market fit.
Search controls
boundedBalanced objective weights
Status
idle
Generation
0
Simulations
0
Best score
—
Candidate ranking
Evidence-blocked candidates remain visible; they cannot make profitability claims.
| Candidate | Status | Score | Paid users | Revenue | API | Action |
|---|
Start a bounded search to generate candidates.
Private AGI OS Portal · Skyloop Market Fit
Simulate the money loop before you spend real money.
A decision laboratory for audience, activation, free value, pricing, distribution, API cost, retention, and Version 1 release evidence.
No billing, payment credentials, campaigns, or external data ingestion are active.
Scenario controls
All values are local simulated assumptions. They are not product-market-fit evidence.
Decision summary
Base scenario
Primary activation event: a learner completes their first successful visual explanation.
Monthly visits
1,200
Activated users
82
First understanding moment
Paid users
2
MRR
$24
Simulated revenue
Product funnel
Visitor → retained subscriber
Visits
1,200
Signups
216
Activated
82
Repeat
34
Paid
2
Unit economics
Revenue is visible; profitability waits for verified costs
ARR
$288
Known monthly cost
$1,229
Gross profit
Needs verified input
Blocked until API price verified
Gross margin
Needs evidence
LTV
$146
LTV / CAC
Needs evidence
CAC payback
0 months
Cost catalog
Verified API pricing gate
API cost: unavailable
No provider price has been entered. Add provider, model, input/output rates, source URL, effective date, and verification date before using margin or break-even outputs.
Review copilot
Decision guardrails
blocking: Verified API pricing is missing, so gross margin and break-even are not calculable.
Next: Import a dated provider price entry from an official source before using profitability outputs.
info: All numeric scenario values are simulated assumptions, not product-market-fit evidence.
Next: Replace assumptions with measured experiment observations as they become available.
Experiment queue
Learn before scaling
First visual understanding
plannedA guided visual explanation creates a successful first session faster than a text-first introduction.
Success: First-understanding completion · Guardrail: Fallback and accessibility completion
Value-based free cap
plannedA complete free learning outcome plus capped advanced usage improves trust and conversion.
Success: Week-4 retained conversion · Guardrail: Free-user activation
Pro pricing sensitivity
plannedA low-friction Pro plan is more compelling after repeated experiments than after the first visit.
Success: Upgrade intent and paid conversion · Guardrail: Refund or abandonment rate
API-cost optimization
plannedRecipe reuse and smaller model routing reduce cost without lowering understanding quality.
Success: Verified cost per successful explanation · Guardrail: Human clarity score
Distribution planner
Optimize for learning speed
Direct founder outreach
fastCurious learners and science educators · Personal demo and interview
Next test: Run 10 qualitative interviews around the first-understanding moment.
Short-form visual demonstrations
mediumScience and learning audiences · Before/after concept visual
Next test: Compare explanation-first versus spectacle-first creative.
Educational communities
mediumStudents, teachers, and builders · Guided experiment and feedback request
Next test: Recruit a small consented pilot group.
Search and evergreen explanations
slowPeople searching for difficult concepts · Text plus interactive visual
Next test: Measure search-to-activation rather than visits alone.
Release gate
Skyloop Version 1 is not approved by simulation alone
Measured
Real activation, retention, cost, and interview evidence.
Simulated
Scenario values shown above for decision rehearsal only.
Required next
Run first-understanding and pricing experiments, then enter verified cost data.