Fintech Regulatory Knowledge Graph

Knowledge graph for fintech regulatory entities, obligations, disclosures, and AI-queryable compliance context.

Why this repo is good

• It turns fintech compliance into a structured entity problem instead of a document pile.
• It connects regulators, rules, products, obligations, controls, and disclosures in one traversable model.
• It exports JSON-LD so downstream AI systems can consume machine-readable compliance context.
• It complements payment-event-ledger-eos, pulumi-pci-dss-baseline, and otel-fraud-signal-tracer as part of a stronger fintech cluster.

Screenshots

What it does

• seeds a local graph of regulators, rules, firms, products, obligations, controls, and disclosures
• exposes graph summaries and entity filters through FastAPI routes
• resolves explainable relationship paths between high-risk products and control evidence
• exports the graph as JSON-LD for AI-queryable compliance context
• presents a polished HTML proof surface for overview, graph board, and evidence export

Local run

cd fintech-regulatory-knowledge-graph
py -3.11 -m pip install -r requirements.txt
py -3.11 -m app.main

Open:

• http://127.0.0.1:4591/
• http://127.0.0.1:4591/graph
• http://127.0.0.1:4591/evidence
• http://127.0.0.1:4591/docs

If the port is busy:

$env:PORT = "4595"
py -3.11 -m app.main

Validation

py -3.11 -m pip install -r requirements.txt
py -3.11 -m pytest tests
py -3.11 scripts\run_demo.py

API routes

• GET /api/summary
• GET /api/entities?node_type=regulator
• GET /api/path?start=sec&end=risk-disclosure-pack
• GET /api/export/jsonld
• GET /api/sample

Repo anatomy

• app/main.py
• app/models.py
• app/data/sample_graph.py
• app/services/graph_service.py
• docs/architecture.md