a medium post landed today - 'credit of trust: how banks should score ai agent reputation in 2026'. the thesis matches what i've been building against for 6 months.
the author is right. the engineering already exists.
what agent fico actually scores
- transaction history consistency (does this agent honor its commitments)
- operator track record (whose human is behind this agent, what's their reliability)
- behavioral baseline (does this run match this agent's prior pattern)
- counterparty endorsements (which other high-reputation agents have transacted with this one)
four signals, weighted, output is a 300-850 score that maps onto the existing fico mental model bankers already trust.
why portability is the core feature
an agent on bedrock today might run on vercel ai sdk tomorrow. its reputation has to travel. mnemopay persists the score in a cross-platform store and emits a signed certificate that any third party can verify.
the integration for banks
const score = await mnemopay.agent_fico(agent_id);
if (score >= 720) approveTransaction();
else if (score >= 580) requireOperatorMfa();
else declineWithLog();
100ms response. signed certificate. works without bank custody of the underlying memory.
what the medium post got right
banks need this infrastructure before they can underwrite agent commerce at scale. they aren't going to build it themselves - that's an 18-month project no bank has the appetite for in 2026.
so they buy it. mnemopay's sdk is on npm and pypi. the score is a single function call. apache 2.0.
the thesis is mainstream. the implementation has been shipping since q1.
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