Only JSON-LD Meets Legislation and Works in the Global South

JSON-RPC and JSON are Not Fit for Purpose

Only distributed ledgers structured with JSON-LD can trace work from the bottom up—capturing who did what, where, and when, with machine-readable clarity. JSON-LD is the W3C standard. Importantly, Linked Data (the LD part) is what enables synchronized processing at scale. Linked Data is how distributed actors can record, account for, and settle transactions collaboratively across systems. New capabilities emerge—traceable microtransactions, mutual credit, and on-chain attribution of value—all especially vital in contexts like climate justice, biodiversity, and the Global South.

These systems operate not through centralized control or pure market dynamics, but through a commons-based logic: structuring coordination, ownership, and rewards around shared stewardship and open participation.

Only distributed ledgers using JSON-LD can track origin data from the bottom up—capturing when and where work is accurately documented.

This enables synchronized processing at scale: distributed actors can collaboratively record, account for, and settle transactions across systems.

New capabilities include traceable microtransactions, mutual credit, and on-chain attribution of value—especially relevant for climate justice, biodiversity, and Global South contexts.

This reflects a shift toward commons logic: structuring systems around shared ownership, collective stewardship, and open participation—rather than centralized control or pure market logic.

Digital Transactions and Accounting Flows

Unlike double-entry bookkeeping, REA and ValueFlows are accounting for the digital age. They represent digital flows of real economic activity as linked resources, events, and agents, rather than unsophisticated ledger entries. They capture what actually happens. Who did what? With what resources? When? And, why? This produces granular, transparent, and flexible accounting, especially when tracking multi-party collaboration or complex, cross-organizational value chains.

Instead of fragmented, siloed subsystems, REA organizes everything around value-producing actions and the agents involved. This structure fits decentralized platforms, federated networks, and digital marketplaces.

Built for collaboration and adaptability, REA is well-suited for tracing supply chains because it maps directly onto web-native formats like JSON-LD, which can encode flows in structured, machine-readable, and verifiable ways that are visible across legal boundaries without surrendering control. This is crucial for supply chains, cooperatives, and climate accounting.

AI Wants This

REA enables semantic clarity to represent relationships, transactions, and responsibilities in a shared JSON-LD code. By mirroring how economic activity works in the real world, we can connect the real economy to on-chain systems.