before you let an AI agent touch your bank account, you need a way to answer: has this agent earned the right to handle money?
the analogy is credit scores for humans — a numeric reputation that gates access to financial services.
for AI agents, the inputs are different:
- policy violation rate — how often does the agent try to exceed spending caps or pay unapproved counterparties?
- rollback rate — how many proposed transactions get aborted by the governance layer?
- counterparty diversity — does the agent only pay known vendors, or is it trying to send money to random wallets?
- audit completeness — are all transactions logged with full metadata, or are there gaps?
track these metrics across a 30-day rolling window and compute a numeric score (0–850, like FICO). gate access to payment APIs based on the score:
- 750+ — full access to payment rails, high spending caps
- 650–749 — restricted access, lower caps, human approval required above threshold
- below 650 — read-only access, no payment permissions
i'm building agent FICO into mnemopay as a first-class feature. every transaction the agent proposes updates its reputation score in real time. if the score drops below a threshold, the governance layer automatically revokes payment permissions until a human reviews the audit log.
this maps to the broader need for agent memory portability — your agent's reputation should follow it across platforms, just like your credit score follows you across banks.
if you're building agent infrastructure, reputation and governance aren't optional — they're the foundation.
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