Documentation

How Feralyx Models Fertility Costs

Understand the methodology behind our treatment cost estimation, multi-cycle probability modeling, and insurance mandate analysis.

API Endpoints

POST
/v1/calculate

Calculate total expected cost for a treatment plan

POST
/v1/compare

Compare costs across clinics or treatment types

GET
/v1/clinics/:zip

Get nearby clinic data with success rates

GET
/v1/mandates/:state

Get fertility insurance mandate details for a state

POST
/v1/simulate

Run Monte Carlo simulation with custom parameters

Multi-Cycle Probability Modeling

IVF success rates are heavily age-dependent. For patients under 35, the per-cycle live birth rate is approximately 40-50%. For patients 38-40, it drops to 25-30%. For patients over 42, it falls below 10%. These per-cycle probabilities compound across multiple attempts: a patient with a 40% per-cycle rate has a cumulative 78% chance of success within 3 cycles.

Feralyx uses these age-stratified success rates from SART to model the probability distribution of total cycles needed. Combined with per-cycle cost data, this produces a realistic total cost distribution rather than the misleading single-cycle price that most clinics advertise.

Data Sources

SART

Society for Assisted Reproductive Technology -- clinic-specific IVF success rates and outcome data.

CDC ART

CDC Assisted Reproductive Technology reports -- national success rate statistics by age group.

FertilityIQ

Patient-reported cost surveys covering clinic fees, medications, and ancillary procedures.

State Mandates

State regulatory databases tracking fertility insurance coverage mandates and employer requirements.