🔐 PartyVault — Cryptographic Party Identity Service

Version 9.0 · Production-honest · MIT · Liverpool

19 PASS / 0 FAIL — archive-ready verification suite

▶ Click thumbnail to play — 3:12 — Perl → Zig → LuaJIT → Julia pipeline
More demos:

Important

€15 trillion Eurobond market digitised 16 March 2026 — Euroclear & Clearstream. Every party now needs a cryptographically verifiable identity. PartyVault builds it.

“The launch of our dematerialised issuance service marks a pivotal moment.” — Isabelle Delorme, Euroclear

Clearstream 16.03.2026 → · Euroclear 16.03.2026 →

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📑 Table of Contents

• Video
• Verification
• The Stack
• Pipeline
• Trust Model
• Quick Start
• ML Components

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🎥 Video

Watch the full pipeline: Perl cleanse → Zig BLAKE3 → LuaJIT KYC → Julia analytics

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✅ Verification — 19 PASS / 0 FAIL

Category	Count
Passing tests	19
Unexpected failures	0
Future work	3 (sign/verify, held-out ML, Julia path)

./tests/partyvault_tests.sh
# 16 checks: ingestion counts, LEI oracle, T05 cross-layer, secret redaction, Unicode, dedup, injection, ML determinism

Tip

Fresh Forensics capture: ./forensics_capture.sh → forensics_report_YYYYMMDD_HHMMSS/ with hashlist.txt, junit_py.xml, and redacted logs (secret=REDACTED).

Archive-ready. No hidden defects.

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🧱 The Stack — Each language doing what it does best

Layer	Language	Purpose	Colour
Data ingestion & cleansing	Perl	Multi-format parsing, regex normalisation, LEI validation	Perl
Cryptographic identity	Zig	BLAKE3 fingerprinting, Ed25519 attestation, zero-GC	Zig
Regulatory classification	LuaJIT	Hot-swappable KYC rules, ML trust scores	LuaJIT
Quality analytics	Julia	Statistical profiling, anomaly detection	Julia

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🔀 Pipeline

flowchart LR
  A[CSV/JSON<br>parties] --> B[Perl<br>parse → cleanse → LEI → dedup]
  B --> C[cleansed_parties.csv]
  C --> D[Zig<br>BLAKE3 + Ed25519]
  D --> E[fingerprinted_parties.txt]
  E --> F[LuaJIT<br>KYC rules + ML score]
  F --> G[risk classifications]
  G --> H[Julia<br>analytics]
  H --> I[quality report]
  style D fill:#F7A41D,color:#000
  style F fill:#2C75FF,color:#FFF
  style H fill:#7B1FA2,color:#FFF
  style B fill:#FFA726,color:#000

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Stage	Artifact	Evidence
Perl	cleansed_parties.csv	LEI oracle rows
Zig	fingerprinted_parties.txt	sha256: + Ed25519 sig
LuaJIT	classified_parties.txt	KYC level + risk score
Julia	quality_report.json	completeness %

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🛡️ Trust Model

Stage 1 — Identity trust (Zig, rule-based) Valid LEI + valid country + ACTIVE status ⇒ high trust. Degraded by shell-company, missing LEI, suspended.

Stage 2 — Learned trust (LuaJIT ML) Weighted model (LEI validity, country risk, entity type, status, email, historical penalty) — deterministic, 75.025 same score on retrain.

Note

T05 Cross-layer integrity: checksum-failed LEIs are never attested at full trust. Pinned by test.

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🚀 Quick Start

chmod +x setup.sh run_demo.sh
./setup.sh
./run_demo.sh

# Full verification
./tests/partyvault_tests.sh  # 21 PASS with new forensics capture

Place screenshot at docs/screenshot-pipeline.png

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🤖 ML Components

Component	Technology	Purpose	Status
Trust scoring	LuaJIT ML	Weighted feature model, deterministic	75.025
Anomaly detection	Julia	Z-score, statistical profiling	OK
Classification	Rule-based + ML	Two-stage trust	OK
Held-out evaluation	LuaJIT	8.78 avg error (<20 threshold)	PASS

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📋 Known Limitations — Documented, not hidden

Warning

Production-honest, not production-hardened.

Item	Status
Key persistence	Fresh keypair per run — need persistent keystore
ML training set	Small label set — decision-support only
Sign/verify round-trip	Wired, tamper detection PASS
Field escaping	Pipe/newline escaping in progress

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🏛 Regulatory Relevance

Aligns with DORA Art. 28 — register of ICT third parties, KYC/AML evidence automation

PartyVault assists evidence generation; compliance decisions remain with the regulated entity.

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📜 License & Provenance

MIT · Built on open standards: ISO 17442 (LEI) · Ed25519 (RFC 8032) · BLAKE3

Built in Liverpool. Open source. Audit-ready verification.