CONTINUUM · e2ePS — END-TO-END PAYMENT SIMULATOR

Test the entire payment path. Let AI keep it current.

PayCon Continuum is a local, AI-native simulation harness that runs the full cardholder-to-issuer journey on your own machine — and keeps your issuer-processor QA ahead of every network mandate.

Request a 15-min walkthrough → See how it works

Cardholder→ Terminal→ Acquirer→ Network→ Issuer Processor→ Customer JIT

The problem

Two blind spots delay every go-live.

Issuer-processor integrations don't fail in the API contract — they fail in the orchestration between systems, and in the gap between today's spec and next quarter's mandate.

The integration gap

APIs don't equal orchestration.

Legacy sandboxes validate static API payloads in isolation — not the full orchestrated journey across terminal, acquirer, network and issuer. Critical routing and lifecycle failures surface weeks into late-stage testing.

The mandate treadmill

The rules change twice a year.

Visa, Mastercard, Amex and Discover revise their specifications on a bi-annual cadence. Every issuer processor must implement each change to the ISO mapping and re-test it — today, by hand, against a moving target.

The product

One local harness for the whole path.

Originate a transaction, route it across any network scheme, watch each hop enrich the ISO 8583 message, and see the canonical model become the JIT JSON your endpoint receives — scored PASS / FAIL, locally or in CI.

Multi-network ISO 8583 origination

BIN routing & scheme dialects

ISO → JPOS → JPF canonical mapping

jPOS-backed packing engine

Full lifecycle + stateful ledger

One-click certification report

Pluggable SUT + DB validation

Local · headless · CI-ready

The signature view: watch each hop — Acquirer, Network, Issuer Processor — enrich the ISO message field by field, then the one canonical JPF model become the JIT JSON, so a developer can investigate, debug and evaluate their issuer processor end to end.

The AI difference

An AI copilot that keeps your test estate current.

When a network mandate drops, paste it in — and the copilot proposes the ISO-mapper changes, the JPF canonical fields, the database columns, and the exact tests to prove them. Mandate in, tested implementation out, behind a human review gate.

Mandate → implementationNetwork mandate text becomes proposed mapper enrichment, JPF/DB fields, and runnable tests.

Natural-language scenariosDescribe a case in plain English; get a runnable, schema-valid test scenario.

AI failure explanationA failed certification row returns root cause, the likely rule, and a concrete fix.

Coverage advisorFind the gaps in your certification suite and fill them automatically.

Provider-agnostic — Claude by default, bring your own fallback (OpenAI/Codex, Azure, Ollama). Your keys, never logged.

Why PayCon

The new kid — with a compounding advantage.

Focused & developer-first

• Dedicated entirely to deep issuer-processor QA.

• Runs locally and headless in CI pipelines.

• AI-native — not an AI feature bolted on later.

• Minutes to first PASS/FAIL, not weeks of onboarding.

The compounding moat

01Every authored scenario compounds into a growing, reusable certification library.

02Every mandate the copilot absorbs permanently enriches the canonical model.

03AI drives the marginal cost of coverage toward zero — no linear headcount.

→Value grows with use. The more mandates you absorb, the wider the moat.

Get started

See PayCon Continuum on your own integration.

A 15-minute walkthrough, then a sandbox-ready package you can run locally that week.

Request a demo →

01 15-min walkthrough → 02 sandbox-ready package → 03 2-week pilot