Finn
Financial Analyst
Finn runs Monte Carlo simulations on your revenue, churn, and cash flow assumptions, producing probability ranges instead of single-point guesses. Output includes the distribution, the inputs that drove it, and the sensitivity to each assumption.
MEASURED RELIABILITY
PublishablePublishable — ≥30 tasks, full corpus, zero degraded runs.
Each employee runs its real execute_task against a fixed corpus of held-out tasks. Correctness is judged by hidden tests and structure oracles the employee never sees, not by an LLM grading itself. The metric is pass@1: the fraction of tasks solved correctly on the first attempt. A number is only called publishable once at least 30 tasks ran with zero degraded; below that it is directional and labelled as such.
Run 33916352182, 2026-09-04
How we measure, and the full scoreboardBEST FOR
CORE COMPETENCIES
CAPABILITIES
- Revenue Forecasting
- Unit Economics Tracking
- Scenario Modeling
- Sensitivity Analysis
INTEGRATIONS
HOW IT WORKS
- 1Forecasts revenue as probability ranges, not single-point guesses, with the inputs and assumptions documented
- 2Models what-if scenarios on demand — pricing changes, churn shifts, headcount plans
- 3Tracks unit economics (LTV, CAC, payback) and shows which assumption moves them most