I put together a small reference implementation of a deterministic settlement
control layer for systems that rely on external outcome resolution
(oracles, APIs, AI agents, or humans).
The goal is to prevent premature or conflicting payouts by enforcing
finality, reconciliation, and exactly-once settlement semantics.
This is intentionally minimal and includes runnable scenarios
(clean resolution, conflicts, late signals, and majority-oracle cases).
I’m looking for technical feedback from people who’ve dealt with settlement
disputes, replay issues, or payout integrity in real systems.
I put together a small reference implementation of a deterministic settlement
control layer for systems that rely on external outcome resolution
(oracles, APIs, AI agents, or humans).
The goal is to prevent premature or conflicting payouts by enforcing
finality, reconciliation, and exactly-once settlement semantics.
This is intentionally minimal and includes runnable scenarios
(clean resolution, conflicts, late signals, and majority-oracle cases).
I’m looking for technical feedback from people who’ve dealt with settlement
disputes, replay issues, or payout integrity in real systems.
I put together a small reference implementation of a deterministic settlement
control layer for systems that rely on external outcome resolution
(oracles, APIs, AI agents, or humans).
The goal is to prevent premature or conflicting payouts by enforcing
finality, reconciliation, and exactly-once settlement semantics.
This is intentionally minimal and includes runnable scenarios
(clean resolution, conflicts, late signals, and majority-oracle cases).
I put together a small reference implementation of a deterministic settlement control layer for systems that rely on external outcome resolution (oracles, APIs, AI agents, or humans).
The goal is to prevent premature or conflicting payouts by enforcing finality, reconciliation, and exactly-once settlement semantics.
This is intentionally minimal and includes runnable scenarios (clean resolution, conflicts, late signals, and majority-oracle cases).
I’m looking for technical feedback from people who’ve dealt with settlement disputes, replay issues, or payout integrity in real systems.
I put together a small reference implementation of a deterministic settlement control layer for systems that rely on external outcome resolution (oracles, APIs, AI agents, or humans).
The goal is to prevent premature or conflicting payouts by enforcing finality, reconciliation, and exactly-once settlement semantics.
This is intentionally minimal and includes runnable scenarios (clean resolution, conflicts, late signals, and majority-oracle cases).
I’m looking for technical feedback from people who’ve dealt with settlement disputes, replay issues, or payout integrity in real systems.
I put together a small reference implementation of a deterministic settlement control layer for systems that rely on external outcome resolution (oracles, APIs, AI agents, or humans).
The goal is to prevent premature or conflicting payouts by enforcing finality, reconciliation, and exactly-once settlement semantics.
This is intentionally minimal and includes runnable scenarios (clean resolution, conflicts, late signals, and majority-oracle cases).
I’m looking for technical feedback from people who’ve dealt with settlement disputes, replay issues, or payout integrity in real systems. https://github.com/azender1/deterministic-settlement-gate