Blockchain-Based Financial Risk Data Sharing and Token Settlement Framework

Financial institutions and enterprises collecting risk data for credit and other risk‑control services often need to share this data to improve risk assessment, typically using fee‑based query interfaces.

The paper proposes a blockchain‑based consortium that provides a fair, equal platform for data mutual verification, leveraging token generation and validation to create a transparent pricing and evaluation system; the discussion is split into a business‑scenario analysis and a technical design.

In the post‑accounting phase, each transaction records who queried whom, which data were accessed, and the resulting token balance changes as key‑value pairs on the blockchain; only hashed summaries and signatures are stored to protect raw data privacy, with sideDB handling confidential information.

Endorsement nodes validate accounting transactions for correct signatures and reasonable token transfers, while the original data remain off‑chain; if a participant doubts a transaction, an off‑chain audit can be initiated.

The audit process automatically compares original and on‑chain data, issues an audit endorsement, and, when necessary, a reversal transaction can invalidate the disputed accounting entry.

A token settlement system is described where all participants start with zero balance, use overdraft with a soft limit, and undergo periodic snapshots for off‑chain settlement; five transaction types are defined: accounting, reversal, settlement, rescheduling, and snapshot transactions.

Onboarding new institutions involves adapting data query/provision interfaces, deploying a standardized blockchain service, and setting up endorsement nodes, with performance and concurrency requirements for both the service and the nodes.

In conclusion, the consortium blockchain solution currently offers data pricing but lacks evaluation capabilities; future work aims to incorporate token‑based data evaluation, highlighting blockchain’s role as a socio‑technical system for industry self‑governance.