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Debt payoff infrastructure / v1

A debt engine
with nothing to hide.

Model, calculate, and explain every month of a payoff plan. Built for teams that need predictable results and a clear answer to “why?”

01Versioned 02Auditable 03Testable
debtfold.engine / trace
RUN #0042 PASS

01 / normalized input

credit_card8400.00 @ 24.99%
auto_loan18000.00 @ 7.25%
student_loan24000.00 @ 5.50%
strategyAVALANCHE
extra_monthly200.00

02 / monthly ledger

79 cycles
MOBALANCEEVENT
001$49,649calculated
020$33,618calculated
046$14,502calculated
079$0paid_off
PayoffAug ’32
Interest$10,328
StatusValid
OUTPUT HASH7F3A-91C2-0042

Built for consequential choices

A forecast people can trust—and your team can defend.

100%

Reproducible

Identical inputs and engine versions return identical schedules. No black-box variability.

1N

Comparable

Evaluate multiple strategies from one normalized scenario without introducing hidden differences.

DebtFold exposes the assumptions behind each result: what was paid, where it went, how interest accrued, and why a target came next.

Inside the engine

From a financial snapshot to a complete payoff path.

A clear four-stage pipeline keeps input handling, calculation, comparison, and explanation separate and testable.

01Inputs

Normalize

Turn balances, APRs, minimums, dates, and payment cadence into one consistent debt model.

02Ledger

Simulate

Accrue interest and apply payments month by month, including extra payments and rollover behavior.

03Scenarios

Compare

Run strategies from the same starting point and calculate the real difference in time and interest.

04Outputs

Explain

Return a traceable schedule, payoff order, summary metrics, and explicit edge states.

Capabilities

The mechanics are detailed. The result stays simple.

Model the behaviors that shape a real payoff plan without forcing customers to understand the machinery underneath.

01

Strategy modeling

Avalanche, snowball, minimum-only, and custom priority rules from a shared scenario.

02

Payment rollover

Redirect freed minimum payments as each balance reaches zero.

03

Flexible contributions

Model recurring extras and one-time payments without changing the underlying debt data.

04

Complete schedules

Return a month-by-month ledger of balances, interest, principal, and payments.

05

Edge-state detection

Identify negative amortization and plans that do not pay off within the forecast horizon.

06

Stable comparisons

The same inputs always produce the same outcome—ideal for testing, audit, and support.

Integration paths

Meet your product where it is.

Use the engine as an embedded calculation layer, a service behind your application, or the foundation for a branded debt-planning experience.

01

SDK / library

Embed the calculation layer directly in your product stack.

Lowest-latency experience

02

Hosted API

Send a scenario and receive normalized, versioned forecast results.

Fastest path to integration

03

Reference experience

Adapt the full input, comparison, and explanation flow to your brand.

Most complete starting point

Build a clearer debt experience

Let customers see what changes before they choose.

Tell us what you are building. We’ll walk through the engine, integration options, and an evaluation scenario using synthetic data.

Talk about the engine