Network State Credit Rating Framework (NSCRF): A First-Principles Methodology for Assessing Creditworthiness of Network States

No credit rating methodology exists for Network States. The three major credit rating agencies — Moody's, S&P Global, and Fitch — collectively rate approximately 140 sovereign governments and tens of thousands of corporations. Their methodologies assume territorial tax bases, involuntary populations, central banks, audited financial statements, and bond markets. Network States possess none of these characteristics. Yet Network States are increasingly handling significant capital. Praxis has raised 544 million. Total DAO treasury assets globally exceed 24. 5 billion. The ns. com dashboard tracks 117 startup societies. As these entities mature, investors, members, host countries, and counterparties will need a standardised way to assess their creditworthiness. This paper constructs the Network State Credit Rating Framework (NSCRF) from first principles. It surveys how sovereign and corporate credit ratings work today, identifies why those methodologies fail for Network States, and proposes a five-pillar rating methodology with explicit weightings, scoring criteria, and rating scales: • Pillar 1 — Treasury Health (30%): size, composition, burn rate, revenue diversity and growth • Pillar 2 — Governance Quality (25%): model maturity, participation, transparency • Pillar 3 — Community Resilience (20%): retention, engagement, cohesion • Pillar 4 — Infrastructure Robustness (15%): physical, digital, operational • Pillar 5 — External Risk (10%): regulatory, host-country, concentration The methodology is applied to seven Network States using publicly available data. Indicative ratings: Network School NS-BB (55. 6), Prospera/Infinita NS-B (49. 7), Zuzalu NS-B (42. 5), Praxis NS-CCC (39. 7), CityDAO NS-CCC (39. 3), Liberland NS-CC (28. 0), Afropolitan NS-CC (20. 0). No Network State in 2026 meets the criteria for investment grade (NS-BBB and above). The paper also assesses the commercial viability of establishing a Network State credit rating agency. The NSCRF is the second paper in a research programme building analytical infrastructure for Network States. It is designed to interoperate with the Network State Classification Framework (NSCF, DOI: 10. 5281/zenodo. 19447727) and a forthcoming Network State Economic Index (NSEI). Companion paper: Grey, K. M. (2026). Network State Classification Framework (NSCF): Mapping Emerging Digital Societies onto World Bank, UN, and WEF Economic Taxonomies. DOI: 10. 5281/zenodo. 19447727