MetadevXInnovate. Code. Create.MetadevXInnovate. Code. Create.

(01) The challenge

Settlement depended on a contract nobody could read

Keystone's first version put escrow logic, fee scheduling and role permissions in one 900-line contract. Two audits came back with the same complaint: the intent was buried, so reviewers spent their budget on control flow instead of the money paths.

  • · Manual settlement reconciliation at every month end
  • · No way to pause the system without upgrading it
  • · Support requests were mostly "where is my payment"

(02) Approach

Three contracts, each with one job

We split the system into an escrow contract, a fee schedule that is data rather than code, and a thin permissions layer. Every function that moves value has a single owner role and a pause switch, and the whole suite is tested against a mainnet fork with the real balances of the accounts involved.

  • · Solidity with storage layout pinned and upgrade-safe proxies only where needed
  • · Fork tests replaying six months of live settlement traffic
  • · Event schema designed for indexing from day one
  • · Wallet UX built around clear states: proposed, locked, settled, refunded

(03) Outcome

Reconciliation went from three days to none

The indexed event log feeds a dashboard that answers the support question before it is asked. Settlement runs are now verifiable by counterparty without sharing internal records, and the paused-state drill is a scheduled exercise rather than a theory.

0

Manual reconciliation days

100%

Branch coverage on value paths

2

Contracts passed to audit

(04) What we did

The threat model came before the code

We wrote down what an attacker gains at every step, then designed the contract surface to make the expensive paths the boring ones. Anything that could not be explained in a paragraph was cut from scope.

  • · Threat model reviewed with the client's risk team
  • · Gas and nonce behaviour tested under congestion
  • · Deployment and verification scripts per network
  • · Post-launch monitoring on the value-moving functions
Next projectAI-Powered Logistics Platform→