Guys, satellites can see rooftops, survey vehicles can see roads—but what about sunken doorways, uneven curbs, and hallways piled with clutter? The hardest part of physical AI isn’t the first 500 meters—it’s the last 50 feet. And no one has systematically captured those areas. @vangrid_io’s solution isn’t to hoard another giant map—it’s on-demand. Whoever needs a specific location can post a bounty on Base, lock USDC in escrow; nearby people use their phones to capture images, and once previews are approved, a 3D model is reconstructed and payment is settled. If the machine needs a location tonight, someone will capture it tonight—not six months from now with an outdated, generic map. I care most about the agent side. The one posting the bounty doesn’t even have to be human: agents call tasks via HTTP, x402 pays USDC directly, and the same API retrieves the reconstructed results—no accounts, no keys required. Escrow is locked before work begins; payment isn’t just a “off-chain promise.” This means coverage grows with real demand—not by someone preemptively scanning every single location. Demand-driven supply and supply-driven demand are two entirely different networks. Physical AI needs smarter models—but first, it needs to see the real world. Whoever captures the last 50 feet holds the key to the data.