GM gVangrid.☕ Imagine an AI agent paying for a 3D model of a real location. The payment goes through, but how does the agent know the data actually represents what was requested? This is the part of @vangrid_io that caught my attention. Its agent bounty system allows software agents to create tasks, fund escrow, assess submissions, and approve completed work through an API. Contributors can deliver reconstructed 3D models alongside data archives. The financial side is designed to be traceable. Escrow funding, payments, cancellations, and refunds have onchain records. However, the original footage stays offchain, with a data hash representing it. That distinction matters. A hash can help establish data integrity, but it cannot confirm that a recording genuinely shows the location or event described in the request. That requires a separate verification process. Device attestation and sensor cross-checks are among the safeguards still not live. I think connecting AI agents to real world contributors opens an interesting possibility. But the bigger task is ensuring agents can assess the data they receive, not just complete payments automatically. Because a confirmed transaction does not automatically mean a verified real world result. Your Identity on the Grid.