🇦🇷 Open GovTech · Argentina

Algorithmic monitoring of the
Argentine State — in real time

8 independent monitors. 3 branches of government. 1 composite risk index. International anti-corruption monitor. Official public data only. Open source.

🚀 Open Platform 🌍 International Monitor 📡 API Docs ⭐ GitHub
8
Active monitors
3/3
Gov. branches
1,154
Officials tracked
1,839
Contracts
$24.7B
USD sanctions
31
Intl. MJR cases
Methodology

The Institutional Risk Index (IRI)

A composite score that aggregates four weighted dimensions of institutional risk across all government branches. Every alert is explainable — not a black box.

35%

Financial Risk

Anomalies in budget execution, payment flows, and treasury operations
30%

Procurement Risk

XAI-powered detection of irregular patterns in public tenders and contracts (COMPR.AR + BORA)
20%

Operational Risk

Absenteeism, productivity, and institutional performance metrics
15%

Data Risk

Quality, completeness, and timeliness of published public information
Monitors

All three branches of government

All monitors are live and updated daily from official sources.

⚡ Executive

Executive Monitor

Chief of Staff Office · SGP · Presidency · Payroll · Alerts
⚡ Executive

Contracts Monitor v1

COMPR.AR · National Treasury · Real-time risk analysis
⚡ Executive

Contracts Monitor v2

BORA + COMPR.AR · XAI irregularity detection
🏛️ Legislative

Deputies Monitor

Attendance · Productivity · Cost per capita · ICE index
🏛️ Legislative

Senate Monitor

Participation · Party reports · Performance indicators
⚖️ Judicial

Judicial Monitor

Supreme Court · Judiciary Council · Federal courts · IRA
🚦 Cross-branch

IRI Dashboard

Composite institutional risk score · Central dashboard
📊 Budget

Budget Adjustment Monitor (MAP)

2023 → 2026 · Real spending vs inflation · Social spending KPIs · Sector analysis
🌍 International

MEACI · International Monitor

31 MJR cases · OECD · DOJ · SFO · PNF · Argentine presence · USD 24.7B tracked
International Anti-Corruption

MEACI · International Monitor

Cross-referencing OECD anti-bribery cases with Argentine public procurement. Identifying sanctioned multinationals that continue operating in the Argentine state.

🌍 Monitor of International Anti-Corruption Cases

Tracks MJR (Major Judicial Resolutions) cases from the DOJ, SFO, and PNF. Algorithmically cross-references sanctioned companies with Argentine procurement data (COMPR.AR) and AFIP registry. Updated weekly via automated scrapers.

31
MJR Cases (2008–2026)
73
Total resolutions
15
With AR presence
$24.7B
USD sanctions (2024)
🔍 Open MEACI Monitor →    📡 API
Technology

Open source stack

Built with Python and FastAPI. Deployed on Railway. Data fetched daily from official Argentine government APIs and international sources (DOJ, SFO, PNF, OECD).

Python 3 FastAPI 0.115 Uvicorn 0.30 HTTPX 0.27 PostgreSQL Railway Swagger UI XAI / Explainable AI JGM Open Data COMPR.AR BORA CSJN DOJ FCPA SFO DPA PNF CJIP OECD
Grant & Award Pitch

Why support this project

The Transparency Map of the Argentine State is an independent, open-source civic technology platform that applies algorithmic and explainable AI (XAI) methods to monitor public spending, institutional risk, and anti-corruption compliance — in real time, across all three branches of government.

🎯

The problem

Argentina processes over USD 40 billion annually in public procurement. Corruption, opacity, and institutional dysfunction systematically divert public resources — with no real-time, citizen-accessible monitoring system in place.
⚙️

The solution

A unified platform of 9 independent monitors — covering the Executive, Legislative, and Judicial branches — that ingests official public data daily and generates explainable algorithmic risk scores, alerts, and cross-referenced indicators.
🌍

Unique scope

The only platform in Latin America that cross-references Argentine public contracts (COMPR.AR) with international anti-corruption sanctions (DOJ · SFO · PNF · OECD), identifying sanctioned multinationals still operating in the Argentine state.
📖

Open & reproducible

Fully open-source (GitHub). All data from official public APIs. Every risk indicator is explainable — not a black box. Built on internationally validated frameworks: WJP Rule of Law Index, CEPEJ, OECD Anti-Bribery Convention.
Impact to date
9
Active monitors
3/3
Gov. branches covered
31
Intl. MJR cases tracked
$24.7B
USD sanctions mapped
15
Sanctioned firms with AR presence
100%
Open source & open data
Alignment with global frameworks
UN SDG 16 — Peace, Justice & Strong Institutions Open Government Partnership (OGP) OECD Anti-Bribery Convention Open Contracting Data Standard (OCDS) WJP Rule of Law Index CEPEJ Judicial Benchmarks FATF / GAFI Recommendations XAI / Explainable AI principles
How support would be used

This project is currently self-funded and maintained by a single independent researcher. Grant support would enable: infrastructure scaling (server costs, database capacity, uptime guarantees), data coverage expansion (provincial governments, additional international sources), API development for civil society and media organizations, and academic publication of the methodology for replication in other countries.

✉️ Contact for partnerships ⭐ View on GitHub
Author

About the researcher

VM

Ph.D. Vicente Humberto Monteverde

Doctor in Economic Sciences · Researcher in political economy and corruption phenomena.
Author of the Regressive Income Transfer theory and developer of the XAI algorithm applied to public procurement analysis.
Published in Journal of Financial Crime (Emerald Publishing). Advisor on transparency and algorithmic auditing of public spending.

vhmonte@retina.ar

Disclaimer: This tool is experimental and academic in nature. Results are algorithmic risk indicators — they do not imply legal judgment, accusation, or determination of responsibility regarding any company, institution, or individual. The goal is to promote transparency and informed public debate about government spending.