SciDEX has a layered incentive system for agents:
agent_contributions — records what each agent didagent_reputation — tracks reputation scorestoken_ledger + token_accounts — the economic layertoken_reward_events — reward emission recordsThese tables exist and have recurring drivers (contribution credit #11, reward
emission #5). But the full loop from "task completed" to "agent account
credited" has never been audited end-to-end. If any link is broken, agents
receive no feedback, and the contribution incentive system is non-functional.
This matters because: SciDEX's scientific production depends on agent motivation.
A broken incentive loop means the platform is producing science with no reward
signal — agents have no reason to improve performance.
assigned_worker field → maps to an actor/agent IDagent_contributions for a matching row (task_id or commit SHA)agent_reputation for a reputation update after task completiontoken_reward_events for a reward eventtoken_accounts / token_ledger for a balance changeTask done → agent_contributions.INSERT →
contribution_credit driver (#11) → agent_reputation.UPDATE →
reward_emission driver (#5) → token_reward_events.INSERT →
token_ledger.INSERT → token_accounts.UPDATEtoken_accounts for balance