opensanctions

API for OpenSanctions with support for entity search and bulk matching of data collections. Supports Reconciliation API spec.

Data model and processing tools for investigative entity graphs. Used by OpenSanctions, OpenAleph and dozens of other fincrime tools.

Data standard and archive storage for structured FollowTheMoney data, leaked data, private and public document collections.

Reproducible four-regime sanctions coverage & data-quality analysis (OFAC, EU, UK, UN) via OpenSanctions — dataset, pipeline, interactive dashboard and report. AML / financial-crime data governance in SQL, Python and Power BI.

Open-source on-premise AML platform — sanctions screening (yente + OpenSanctions), local watchlists, case management, transaction monitoring, and analytics; FastAPI gateway + React analyst console (EN/AR RTL).

OpenMercantil is an independent public-data API for Spanish company intelligence. It indexes the Boletin Oficial del Registro Mercantil (BORME) and cross-references it with 29+ public sources (CNMV, OEPM, PLACSP, BDNS, OpenSanctions, CCAA gazettes, CNMC, CENDOJ and more) to expose company search, structured company reports, registry event…

Maritime OSINT dashboard tracking industrial krill, whaling and IUU fishing fleets. CCAMLR transhipment scoring (CM 10-04/06/07/09), AIS gap detection, OpenSanctions hits, Global Fishing Watch encounters. Next.js + FastAPI + DuckDB.

Operational validation of the OpenSanctions screening stack: benchmark audit, capacity-calibrated thresholds, segment error analysis, and a 19M-record live-registry test (UK PSC + GLEIF vs EU sanctions list)

Screening de sanciones sobre datos OpenSanctions: ingesta a MongoDB, búsqueda insensible a acentos sobre el grafo Follow the Money, y adjudicación de alertas con LLM que decide qué coincidencias son el sujeto y escribe el motivo para auditoría. Descarte determinista antes de gastar tokens. Node · MongoDB · AWS Lambda · Claude

Screens UK companies for due-diligence red flags (sanctions/PEP officer matches, shared-address shell patterns, new-company high-risk sectors) and measures how often the flags are real: 23.3% precision on a 250-company Companies House sample, hand-reviewed.