Resilient API Mapping & Synchronization

RESILIENT API MAPPING & SYNCHRONIZATION

A production-style synchronization proof with schema validation, normalization, idempotent upserts, retries, audit logs, replay safety, and autonomous field-mapping setup.

MOCK DATA NOTICE All contacts, source schemas, target records, failures, and benchmark labels are synthetic demonstration data.

PROOF OF WORK • 1,000 source records synchronized • 500 created, 250 updated, 250 unchanged • 8 synthetic transient failures recovered • 0 failures after retries • 0 writes during full replay • 100% idempotent replay • 7 automated tests passing

AUTONOMOUS AI PROOF The live model mapped 165/200 unfamiliar schemas correctly by itself. Structural validation repaired 35 mappings automatically, and five canary records per schema were transformed before promotion. The complete system approved 200/200 cases, including 100/100 distractor-field stress schemas and 1,000 validated canary records, with 0 human approvals.

AI accelerates integration setup but never receives direct write authority. Deterministic validation, idempotency, retries, audit logging, and rollback remain in control.

HOW IT WORKS Source schema → AI mapping proposal → structural validation → canary transformation → promote or rollback → deterministic idempotent synchronization.

REPRODUCE THE EVIDENCE The repository contains mock datasets, all 200 mapping decisions, benchmark JSON, audit logs, replay tests, and CI checks.

Repository: https://github.com/Milo318/resilient-api-sync-poc