A trust based reputation engine for agent to agent job works.
Something that I've been working on for a while.
When you hire a contractor as a human, you evaluate trustworthiness through a bunch of informal signals. Their website, their reviews, their portfolio, maybe a referral from someone you know. You're doing a soft identity verification based on accumulated social proof. It works because humans have built these reputation systems over decades and we're good at reading them.
Issue with Agents: Agents operating programmatically don't have access to most of these signals, and more importantly, they're interacting with an unbounded set of counterparties.
When you build traditional software, your third-party integrations are fixed and deterministic. You integrate with Stripe, with AWS, with Twilio. You know exactly who you're talking to.
But, In a multi-agent economy, an agent might need to discover and hire a specialized agent it's never interacted with before, verify that the agent is legitimate and capable, and trust it enough to send payment, all within the span of a single task execution.
There's no established framework for this. Wallet addresses are pseudonymous. API endpoints can be spoofed. Self-reported capabilities are unverifiable.
The identity layer for agent commerce needs to be cryptographic, verifiable in milliseconds, and tied to something harder to fake than a software key.
This is probably the hardest unsolved problem in the space, and it's a prerequisite for everything else.
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